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AI Engineer / AI Strategy Specialist

Amsterdam (Hybrid) | Up to €70,000 + Benefits
This is an opportunity to work at the intersection of AI strategy, consulting, and hands-on engineering. You will help organisations unlock value from Large Language Models and modern AI technologies while playing a key role in the growth of an ambitious AI consultancy in the Netherlands.

The Company
They are a specialist AI consultancy focused on helping organisations redesign processes, implement intelligent automation, and create measurable business value through AI. Working across a variety of industries, they deliver end-to-end AI solutions that combine strategic guidance with technical expertise. Their culture is collaborative, innovative, and centred on continuous learning. As they continue to grow, they are looking for an AI Engineer / AI Strategy Specialist to help drive client success and shape their future capabilities.

The Role
You will combine strategy, architecture, and technical delivery to support AI transformation initiatives.
Responsibilities include:

• Developing AI transformation roadmaps aligned to business objectives and high-value use cases
• Translating business challenges into scalable AI solutions
• Advising stakeholders on AI architecture, model selection, tooling, and implementation approaches
• Designing, testing, and deploying Large Language Model solutions
• Leading end-to-end AI projects from discovery through delivery and adoption
• Integrating AI models into existing business systems and workflows
• Monitoring and optimising model performance through continuous evaluation and iteration
• Supporting AI teams and promoting best practices across projects
• Collaborating with software engineering, data science, and product teams
• Contributing to the development of internal AI tools, frameworks, and methodologies

Your Skills & Experience

• Strong technical expertise in AI, Large Language Models, RAG solutions, and modern AI frameworks
• Deep understanding of AI architecture beyond prompt engineering
• Commercial experience with Python and cloud platforms such as Azure
• Experience working with Git-based development workflows
• Proven capability leading complex AI implementations and technical teams
• Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
• Fluent Dutch language skills
• Experience building or contributing to AI-powered applications and solutions

Desirable:

• Experience with agent frameworks, MLOps, data modelling, or machine learning techniques
• Background in AI, Computer Science, Data Science, or equivalent practical experience
• Experience delivering solutions within consulting or enterprise environments

What They Offer

• Salary up to €70,000
• Hybrid working environment
• Opportunity to work on impactful AI transformation programmes
• Access to the latest AI tools, frameworks, and technologies
• Strong learning and development opportunities
• Exposure to a broad range of industries and business challenges
• Clear progression opportunities within a growing organisation
• Competitive benefits package, including potential equity participation

How to Apply
If you are passionate about AI strategy, Large Language Models, and delivering real-world AI solutions, apply today to learn more about this opportunity.

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AI Engineer
Amsterdam | €60,000 – €85,000 incl. 8% Holiday Allowance

This is an exciting opportunity for a curious and ambitious AI Engineer to help transform a customer journey through practical AI applications. You’ll work across product, technology, and operations, applying AI to real business challenges while developing your skills in a fast-growing environment.

The Company
They are a technology-led financial services business with a strong focus on innovation, customer experience, and automation. Their mission is to simplify complex customer processes through smart technology and data-driven decision-making. AI is becoming a core part of their product strategy, creating an opportunity to influence how customers and internal teams interact with key services. You will join a collaborative team where learning, experimentation, and ownership are highly valued.

The Role
As an AI Engineer, you will design, develop, and improve AI-powered solutions that enhance both customer and employee experiences.

Key responsibilities include:
* Designing and implementing AI-driven applications, workflows, and product features
* Translating business challenges into practical AI solutions
* Integrating LLMs, APIs, and AI services into existing systems and processes
* Creating evaluation frameworks, test datasets, and quality metrics for AI products
* Monitoring AI performance and identifying opportunities for continuous improvement
* Analysing user feedback, product metrics, and production data to optimise solutions
* Collaborating closely with software engineers, domain experts, and compliance stakeholders
* Supporting software development activities when required across front-end and back-end environments
* Contributing to the long-term AI strategy and product roadmap

Your Skills & Experience
* Strong analytical and problem-solving capabilities
* Fluency in Dutch, both written and spoken
* Ability to quickly learn and understand complex business domains
* Affinity with technology, software development, and AI applications
* Experience in a technical, analytical, product, or business-focused role
* Excellent communication skills and the ability to work with both technical and non-technical stakeholders
* Interest in AI technologies, LLMs, and emerging AI products

Beneficial experience includes:
* Python, TypeScript, or other programming languages
* LLM applications and prompt engineering
* Agentic workflows, RAG, orchestration frameworks, or AI tooling
* API integrations
* Product experimentation, evaluation frameworks, and quality measurement
* Monitoring, analytics, and observability tools
* Experience within financial services environments

What They Offer
* Salary of €60,000 – €85,000 inclusive of holiday allowance
* Permanent full-time position
* Hybrid working environment based in Amsterdam
* Opportunity to work directly on customer-facing AI products
* Strong exposure to AI, product development, and software engineering
* Significant learning and career development opportunities
* Direct collaboration with experienced founders and cross-functional teams

How to Apply
If you’re excited about applying AI to real business problems and want to build impactful products in a collaborative environment, apply today to learn more about this opportunity.

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AI/ML Engineer

Amsterdam (3 days per week in office) | €75,000 including holiday allowance
This is an opportunity to join a forward-thinking organisation investing heavily in AI and machine learning to deliver real business impact. You’ll play a key role in taking AI solutions from concept through to production, working on cutting-edge technologies and helping shape the future of AI-enabled products.

The Company
They are a well-established organisation with a strong focus on digital innovation and technology-driven transformation. AI and data are central to their strategy, with a growing portfolio of customer-facing and internal AI solutions. The business offers a collaborative environment where engineers can work closely with product, data, and technology teams to deliver measurable value. They are committed to building scalable, secure, and production-ready AI capabilities across the organisation.

The Role
You will:

• Design, build, and scale AI-powered solutions that deliver measurable business value.
• Develop and maintain Python-based backend services and APIs for AI-enabled products.
• Build and optimise AI assistant workflows using modern orchestration frameworks and LLM technologies.
• Translate business requirements into production-ready AI services and applications.
• Collaborate with data teams to access, transform, and leverage enterprise data effectively.
• Integrate AI capabilities into broader digital products and business workflows.
• Create reusable tools, services, and engineering patterns to accelerate future AI initiatives.
• Implement automated testing and quality assurance practices for AI solutions.
• Contribute to CI/CD processes, containerised deployments, and operational readiness.
• Ensure security, privacy, and responsible AI standards are embedded throughout the development lifecycle.

Your Skills & Experience

• Strong commercial experience developing production-grade applications in Python.
• Experience building APIs, backend services, and scalable software solutions.
• Hands-on experience with LLMs, AI assistants, and agent-based workflows.
• Knowledge of tools such as FastAPI, Pydantic, LangChain, LangGraph, and OpenAI APIs.
• Experience working with SQL, data pipelines, and modern data platforms.
• Understanding of automated testing frameworks and AI evaluation approaches.
• Familiarity with Docker, CI/CD pipelines, cloud environments, and DevOps practices.
• Strong stakeholder communication skills and the ability to work across multidisciplinary teams.
• Passion for building reliable, maintainable, and impactful AI products.

What They Offer

• Salary of €75,000 including holiday allowance.
• Hybrid working model with 3 days per week in the Amsterdam office.
• Opportunity to work on high-impact AI and machine learning initiatives.
• Exposure to modern AI tooling, cloud technologies, and large-scale products.
• A collaborative environment with strong opportunities for learning and career progression.
• The chance to influence the direction of AI engineering within a growing capability.

How to Apply
If you’re an AI/ML Engineer looking to build production-ready AI products and work on impactful machine learning solutions, apply today to find out more.

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Forward Deployed AI Engineer

Day rate: £700-£1,200 Outside IR35
Contract: Initial 12 months
Commitment: Approximately three days per week
Location: Two days per week onsite in London

Harnham is working with a leading private equity firm looking for a Forward Deployed AI Engineer to support businesses across its portfolio.

The portfolio is primarily made up of SMEs and scale-ups generating approximately £5m-£50m in annual revenue. These businesses operate across different sectors and have varying levels of technical maturity.

The role combines senior-level consulting with hands-on AI engineering. You will work directly with CEOs, boards and leadership teams to understand how their businesses operate, identify where AI can create genuine commercial value and then personally build and deploy the solutions.

The role

You will work across multiple portfolio companies, taking projects from initial discovery through to production delivery and adoption.

Responsibilities will include:

• Working directly with CEOs, boards and operational leaders.

• Understanding each company’s commercial priorities, processes, systems and constraints.

• Identifying bottlenecks, repetitive work and opportunities for AI or automation.

• Translating business problems into clear technical requirements.

• Prioritising use cases according to commercial value, feasibility, cost and risk.

• Determining whether the right answer is AI, conventional automation, an existing product or a wider process change.

• Designing, building and deploying production AI applications.

• Developing LLM applications, RAG solutions, agentic workflows and process automation.

• Integrating solutions with existing APIs, databases, CRMs, document stores and operational platforms.

• Introducing appropriate evaluation, monitoring, security and guardrails.

• Supporting user testing, training and adoption.

• Measuring the commercial and operational impact of each implementation.

• Documenting solutions and leaving portfolio companies with maintainable systems.

• Working alongside a Fractional Chief Data Officer where data quality, governance or architecture issues need to be addressed.

What we are looking for

The successful person will combine strong consulting skills with genuine technical depth.

You should have:

• Previous experience working with private equity firms or PE-backed portfolio companies.

• Experience delivering within SMEs or scale-ups generating approximately £5m-£50m in annual revenue.

• Experience working directly with CEOs, boards, founders or investment stakeholders.

• Strong commercial discovery and process-mapping experience.

• The ability to identify and prioritise use cases based on business value.

• Strong hands-on Python and software-engineering skills.

• Recent experience personally building and deploying production AI applications.

• Commercial experience with LLMs, RAG, agentic AI or AI-driven workflow automation.

• Experience integrating AI applications with existing business systems and APIs.

• Experience taking projects from discovery and architecture through to deployment and adoption.

• Knowledge of cloud deployment, application monitoring, evaluation, security and cost management.

• The ability to operate independently across businesses with different systems and levels of technical maturity.

• Strong communication and stakeholder-management skills.

The balance of the role

This is not purely an advisory position, but it is also broader than a traditional AI engineering role.

You will need to be comfortable leading conversations with CEOs and boards, challenging assumptions and recommending where investment should be focused. You must then be able to move into the technical delivery, write the code, build the integrations and take the solution into production.

The strongest candidates are likely to come from Forward Deployed Engineering, applied AI consulting, technical founder, fractional CTO or hands-on AI leadership backgrounds.

Expected outcomes

The successful person will help the portfolio companies achieve:

• A prioritised pipeline of commercially valuable AI opportunities.

• Faster movement from initial idea to production deployment.

• Reduced manual and repetitive work.

• Improved employee productivity and operational efficiency.

• Better customer, sales and internal processes.

• Measurable improvements in revenue, margin, efficiency or customer experience.

• Secure, maintainable AI applications that can be adopted by the business.

• A clearer understanding of where AI is valuable and where simpler solutions are more appropriate.

Working arrangement

This is an initial 12-month fractional engagement requiring approximately three days per week.

Candidates must be able to work onsite in London two days per week, with the remaining time worked remotely. Some travel to portfolio companies may occasionally be required.

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Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

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Senior AI Engineer – Agentic Systems

Remote (NYC HQ)
$200,000-225,000 Base Salary + Equity

THE COMPANY

Harnham is partnering with a high-growth AI-native technology company building a next-generation platform for the advertising and marketing industry. The business is transforming how organizations execute campaign strategy, creative development, media activation, and performance reporting through intelligent automation and autonomous workflows.

This is an opportunity to join a highly experienced engineering team at a pivotal stage of growth, helping shape both customer-facing AI capabilities and the internal engineering practices that will define the company’s future.

RESPONSIBILITIES

• Design and build production-grade agentic workflows, orchestration systems, tool integrations, and autonomous task execution capabilities.
• Partner with Product teams to translate complex advertising and marketing processes into reliable, agent-driven solutions.
• Develop the foundations required for deploying trustworthy AI systems, including evaluation frameworks, observability, guardrails, monitoring, and failure handling.
• Integrate AI-driven workflows with third-party advertising, marketing, analytics, and enterprise data platforms.
• Collaborate directly with customers and technology partners to improve performance and usability of agentic features in real-world environments.
• Champion the use of modern agentic development tools and contribute to internal engineering workflows, standards, and best practices.
• Own features end-to-end, from architecture and development through testing, deployment, and continuous improvement.
• Participate in technical design discussions and code reviews as a senior individual contributor within a fast-moving engineering organization.

SKILLS AND EXPERIENCE

Required

• 5+ years of professional software engineering experience with strong fundamentals across distributed systems, APIs, backend services, and data modeling.
• Proven hands-on experience building AI-powered products using LLMs, agent orchestration frameworks, tool usage patterns, or multi-agent architectures.
• Experience designing and shipping production software in startup, scale-up, or high-growth technology environments.
• Ability to work with modern integration protocols and external platform ecosystems, including agent-based architectures and workflow orchestration.
• Strong written communication skills and experience collaborating effectively within remote-first teams.
• Genuine interest in emerging AI and agentic engineering technologies, trends, and best practices.

Nice to Have

• Experience in advertising technology, marketing technology, digital media, or campaign management ecosystems.
• Experience integrating platforms such as customer data platforms, cloud data warehouses, advertising networks, or marketing analytics tools.
• Familiarity with LangChain or similar agent orchestration frameworks.
• Experience running, fine-tuning, evaluating, or deploying local and self-hosted LLMs.

BENEFITS

• Fully remote, US-based opportunity.
• Optional NYC office access for in-person collaboration.
• Opportunity to influence both product direction and engineering culture.
• Work alongside a senior, highly technical team building cutting-edge AI products.
• Significant ownership, autonomy, and end-to-end technical responsibility.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Senior Software Engineer | AI Engineering | Agentic Systems | LLMs | Multi-Agent Systems | AI Orchestration | LangChain | MCP | Model Context Protocol | Distributed Systems | Backend Engineering | AdTech | MarTech | Autonomous Workflows | Tool Integrations | Remote USA | Artificial Intelligence | Software Development | Platform Engineering | Machine Learning Applications | AI Engineer | Generative AI

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Agentic AI Software Engineer

$150,000-$180,000 + 15% bonus

4 days/week onsite

Overview

We are seeking an experienced software engineer to design, build, and deploy intelligent AI-driven applications and autonomous workflows in an enterprise environment. This role combines AI engineering, full-stack development, data integration, and cloud-native application delivery. The ideal candidate will have experience developing production-ready software and AI-powered solutions that leverage large language models, retrieval systems, enterprise data sources, and external tools.
The position requires ownership across the entire solution lifecycle, from backend architecture and AI orchestration to user-facing experiences, with a strong focus on reliability, security, scalability, and business impact.

Key Responsibilities

AI Agent & Intelligent Workflow Development

• Design and develop AI agents capable of reasoning through complex business processes and executing tasks through integrations with tools, APIs, and enterprise systems.
• Build conversational and support-oriented AI solutions that understand user intent, maintain context, and resolve or route requests appropriately.
• Create intelligent workflows that combine language models, retrieval mechanisms, business rules, structured data, and external services.
• Develop secure integrations connecting AI systems to databases, applications, knowledge repositories, and enterprise platforms.
• Implement memory, context-management, and personalization capabilities for AI-driven experiences.
• Establish guardrails, human-review processes, monitoring, and fallback strategies to ensure dependable production performance.
• Measure and optimise solution quality, accuracy, latency, cost, tool usage, and task completion outcomes.

Full-Stack Application Development

• Build modern user experiences that enable interaction with AI-powered applications and workflows.
• Develop frontend solutions using contemporary web frameworks.
• Design and implement backend services, APIs, and orchestration layers using Python-based technologies.
• Transform advanced AI capabilities into intuitive, business-focused user experiences.
• Own end-to-end feature delivery from architecture through deployment and maintenance.
• Ensure applications are scalable, secure, maintainable, and enterprise-ready.

Data, Retrieval & Platform Engineering

• Build and maintain data ingestion processes, integrations, and transformation pipelines.
• Develop retrieval-augmented solutions that leverage structured and unstructured enterprise data.
• Design systems supporting context management, memory, personalization, and information retrieval.
• Integrate AI applications with databases, APIs, workflow platforms, and machine learning services.
• Maintain high standards for data quality, reliability, security, and operational performance.

AI & Language Model Engineering

• Integrate and orchestrate large language models for production use cases.
• Design prompting, retrieval, tool-calling, and agent orchestration strategies.
• Develop capabilities such as conversational assistants, intelligent search, document processing, workflow automation, and knowledge discovery.
• Evaluate models, frameworks, architectures, and AI services based on performance, cost, scalability, and reliability.
• Implement monitoring and evaluation frameworks to assess AI effectiveness in production.

Engineering Excellence & Operations

• Implement automated testing, CI/CD processes, monitoring, and observability across applications and AI systems.
• Build reliable deployment patterns and operational frameworks for production environments.
• Establish best practices around software quality, security, documentation, code review, and testing.
• Continuously monitor application and agent performance to identify improvements and mitigate risks.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 8+ years of experience developing and deploying production-grade software applications.
• Strong full-stack engineering experience across frontend and backend technologies.
• Proven experience designing and building RESTful APIs and backend services.
• Experience developing data-intensive applications or integrating with data platforms.
• Hands-on experience building AI agents, agentic workflows, or LLM-powered applications.
• Experience with retrieval-augmented generation (RAG), tool integrations, agent orchestration, and AI application frameworks.
• Experience integrating AI systems with APIs, databases, enterprise platforms, and external services.
• Frontend development experience with modern JavaScript frameworks.
• Experience using AI-assisted development tools as part of the engineering workflow.
• Experience implementing agent memory, context management, retrieval, and evaluation systems.
• Experience with cloud-native software development and deployment.

Preferred Qualifications

• Experience working with modern data lake, lakehouse, or analytics platform architectures.
• Experience with infrastructure-as-code, CI/CD automation, and cloud-native deployment strategies.
• Experience working within Agile or Scrum software delivery environments.
• Experience deploying AI applications on public cloud platforms.

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Title: Staff AI Engineer

Location: San Francisco, CA (Hybrid)

Compensation: Up to $280,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 10+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

To Apply for this Job Click Here

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Senior/Staff AI Engineer (Founding Team)
Remote (US) | $150,000 to $220,000 base salary + equity
This is a unique opportunity to join a high-growth AI business at an inflection point in its journey. As part of the founding AI Engineering team, you will play a pivotal role in building production-grade agentic AI systems that deliver measurable value to customers while helping shape the company’s technical direction, engineering standards, and culture from the ground up.
The Company
They are a venture-backed AI company developing next-generation AI infrastructure and intelligent workflow automation products. Rather than applying AI to existing solutions, they are building foundational platforms that enable agent orchestration, automation, and scalable production AI systems. Following recent investment, they are expanding their engineering team and investing heavily in product innovation. Their environment is collaborative, fast-moving, and focused on delivering tangible business outcomes.
The Role
You will work closely with engineering and product leadership to build, deploy, and optimise AI-powered products used in real-world customer environments.
Key responsibilities include:

• Designing and developing production AI features from concept through deployment
• Building agentic workflows and orchestration frameworks
• Developing intelligent automation solutions for complex business processes
• Optimising model performance, latency, reliability, and cost efficiency
• Collaborating with Product teams to measure customer impact and business outcomes
• Contributing across the full software development lifecycle
• Influencing technical architecture, engineering practices, and platform strategy
• Supporting the development of scalable AI systems in a greenfield environment

Your Skills & Experience
You will bring strong commercial software engineering experience combined with hands-on expertise in modern AI technologies.
Key requirements:

• Experience building and deploying production LLM applications
• Expertise in agentic AI systems and workflow orchestration
• Hands-on experience with LangChain or similar orchestration frameworks
• Strong software engineering fundamentals and architecture capabilities
• Experience delivering customer-facing AI products
• Ability to own features and projects end-to-end
• Experience operating effectively within startup or high-growth environments
• Product-focused mindset with an emphasis on measurable outcomes

Desirable experience:

• Multi-agent systems
• Retrieval Augmented Generation (RAG) architectures
• AI evaluation and experimentation frameworks
• Prompt engineering
• MLOps or LLMOps practices
• Cloud-native infrastructure
• Exposure to advertising technology, marketing technology, or automation platforms

What They Offer

• Base salary between $150,000 and $220,000
• Meaningful equity participation
• Fully remote working environment with access to a collaborative engineering community
• Direct exposure to founders and executive leadership
• Significant ownership and autonomy
• Opportunity to influence platform architecture and engineering culture
• Clear progression within a rapidly scaling AI organisation
• Opportunity to work on cutting-edge agentic AI systems with immediate customer impact

How to Apply
If you are excited by the opportunity to build production AI systems, take ownership of complex engineering challenges, and help define the future of intelligent automation, apply today. Based on the experience you bring, candidates will be considered at Senior or Staff level

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