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Senior Applied AI Engineer

Hybrid in Greater Boston

$240,000 – $260,000 base + equity

THE COMPANY

Our client is a high-growth AI and technology company focused on helping investors and business leaders unlock value through artificial intelligence. Operating at the intersection of AI, business transformation, and advanced analytics, the organization has developed a proprietary platform that creates a digital representation of how businesses operate, enabling data-driven decision-making and AI-powered operational improvements.

Backed by deep expertise from leading consulting, technology, and quantitative organizations, the company is building a world-class team dedicated to redefining how businesses are analyzed, transformed, and improved through AI.

RESPONSIBILITIES

• Define requirements, develop prototypes, and partner with engineers, analysts, researchers, and business stakeholders to deliver AI-powered product enhancements.
• Identify product gaps and workflow inefficiencies through close collaboration with internal users and subject matter experts.
• Design and build LLM-powered solutions that accelerate product development and improve operational outcomes.
• Develop evaluation frameworks and quality measurement capabilities for AI-driven features.
• Partner with software engineering teams to productionize new capabilities and drive adoption across user workflows.
• Lead technical design reviews, share best practices, and mentor engineers and analysts.
• Stay at the forefront of emerging AI models, agent frameworks, and development tooling.

SKILLS AND EXPERIENCE

Required

• 6-10 years of experience building data products, software platforms, or AI-driven solutions.
• Degree in a quantitative discipline preferred.
• Hands-on experience with LLMs, including prompt engineering, context management, agent development, and tool selection.
• Proven ability to define evaluation methodologies and quality standards for AI systems.
• Strong Python and SQL expertise.
• Experience translating ambiguous business requirements into scalable technical solutions.
• Strong commercial acumen and the ability to connect technical outputs to measurable business outcomes.
• Excellent communication skills with experience working across technical and non-technical audiences.
• Automation-first mindset with a track record of building reusable tools and workflows.
• Demonstrated success delivering outcomes in fast-paced, ambiguous environments.

Preferred

• Experience deploying AI and LLM solutions into production environments using cloud platforms such as GCP or equivalent.
• Familiarity with observability, tracing, and evaluation tooling for AI applications.
• Experience with agent-based development workflows and modern AI engineering toolchains.
• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Knowledge of LLM evaluation approaches, including LLM-as-judge methodologies.
• Financial literacy and the ability to understand operational and commercial performance metrics.
• Experience in solutions engineering, consulting, private equity, or other client-facing environments.
• Track record of building bespoke solutions and successfully scaling them into broader product offerings.

BENEFITS

• Competitive cash compensation of $240,000-$260,000.
• Flexible working arrangements, including fully remote opportunities.
• Opportunity to work on cutting-edge AI challenges with significant business impact.
• Exposure to senior business leaders, investors, and transformative AI initiatives.
• High-growth environment with substantial career development opportunities.

HOW TO APPLY

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

KEY TERMS

Senior Applied AI Engineer | Artificial Intelligence | LLMs | Machine Learning | Generative AI | Agentic AI | Python | SQL | LangChain | LangGraph | GCP | AI Evaluation | AI Product Development | Automation | Business Transformation | Data Platforms | Applied AI | Consulting | Private Equity | Remote | Hybrid Jobs

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Principal Software Engineer

Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity

A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.

The Company

They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.

The Role

This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.

You will:

• Lead the architecture, development, and scaling of a cloud-native AI platform
• Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
• Drive engineering best practices, software quality, and code review standards
• Build and deploy production-grade AI and LLM-powered applications
• Own technical decision-making across application architecture, infrastructure, and platform scalability
• Partner closely with product and business stakeholders to deliver commercially valuable solutions
• Play a key role in shaping the future engineering organisation as headcount grows

Your Skills & Experience

• Strong commercial experience building software applications in Python
• Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
• Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
• Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
• Strong understanding of multi-model AI environments and working with leading foundation model providers
• Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
• Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
• Experience working within startup, or other lean engineering environments
• Interest in AI adoption, automation, analytics, or operational transformation projects

What They Offer

• Up to $300,000 total cash compensation including bonus
• High levels of ownership and technical influence
• Opportunity to shape engineering culture, processes, and platform architecture
• Greenfield environment with modern technologies and no legacy estate
• Clear career progression as the engineering organisation scales

How to Apply

If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.

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AI Product Director

Location: San Francisco, CA

Compensation: $300,000pa + Bonus + Equity

Drive Enterprise AI Transformation

We’re partnering with a rapidly growing financial technology organisation that is scaling an AI-first operating model across its business.

This is a rare opportunity for an experienced AI Product leader to shape the future of an organisation undergoing significant transformation. You’ll work directly with executive leadership to define the AI roadmap, redesign business processes through AI and Data Science, and build a high-performing AI Product function.

This isn’t a role focused on incremental feature delivery. We’re looking for someone who has fundamentally reimagined how organisations operate, leveraging AI to redesign workflows, decision-making processes, and customer experiences from the ground up.

You’ll lead multiple concurrent AI initiatives, manage AI Product Managers, partner closely with Data Science and Engineering teams, and act as the central leader responsible for translating AI strategy into measurable business outcomes.

What You’ll Be Doing

AI Strategy & Transformation

• Partner with executive leadership to define and execute the organisation’s AI strategy
• Create and own a multi-year AI product roadmap
• Identify opportunities to transform business processes using AI and Data Science
• Redesign workflows from first principles rather than simply digitising existing processes
• Drive adoption of AI across customer, operational, and commercial functions

Product Design & Solution Architecture

• Co-design AI product blueprints and transformation programmes
• Translate business objectives into detailed product specifications and buildable solutions
• Define AI workflows, user journeys, decision frameworks, acceptance criteria and success metrics
• Evaluate proposed technical solutions and ensure they align with business intent
• Own product design decisions from concept through deployment

Leadership & Delivery

• Lead and develop a growing team of AI Product Managers
• Oversee multiple concurrent AI initiatives and transformation workstreams
• Coordinate execution across Data Science, Engineering, Product and business stakeholders
• Establish standards for product design, process mapping and AI solution development
• Ensure projects maintain quality, velocity and business alignment

Vendor & Partner Management

• Manage external AI and engineering partners through the full delivery lifecycle
• Evaluate technical proposals and architectural recommendations
• Hold partners accountable against agreed specifications and acceptance criteria
• Ensure the organisation owns the strategy and requirements while partners execute against clearly defined deliverables

Organisational Change & Adoption

• Drive stakeholder alignment across business functions
• Lead executive conversations around AI opportunity, risk and prioritisation
• Build confidence and adoption amongst end-user communities
• Communicate programme outcomes, risks and strategic trade-offs to Senior Leadership

What We’re Looking For

Essential Experience

• 8+ years of Product Management experience with significant AI Product leadership exposure
• Proven 0-1 experience building AI products, capabilities or operating models
• Demonstrated success reimagining business processes through AI and Data Science
• Experience taking AI-enabled solutions from concept through live production deployment
• Strong product design capability, not just delivery management
• Experience leading multiple AI initiatives simultaneously
• Track record managing both internal and external engies simultaneously
• Strong cross-functional leadership across Product, Engineering and Data Science

AI & Product Expertise should be able to:

You

• Design AI products in meaningful detail
• Translate business problems into AI-enabled solutions
• Understand modern AI product development practices
• Evaluate AI architectures and product approaches
• Partner effectively with Data Science and Engineering teams
• Drive roadmap decisions with confidence

Leadership Profile

We’re particularly interested in candidates who combine:

• Strategic thinking with hands-on execution
• AI innovation with operational discipline
• Executive presence with practical delivery experience
• Vision-setting with day-to-day accountability

Ideal Background

We are particularly interested in candidates coming from:

• High-growth FinTech businesses
• AI-native technology companies
• Growth-stage product organisations
• Organisations where AI has been deployed to transform core business processes

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AI Product Manager

$200,000-$250,000

Overview

A rapidly growing technology-driven financial services organisation is seeking an AI Product Manager to help transform core business processes through applied artificial intelligence. This role will partner closely with business stakeholders, technical specialists, and external development partners to identify opportunities, redesign workflows, and deliver production-ready AI solutions.
The successful candidate will play a hands-on role throughout the product lifecycle, from process discovery and solution design to implementation, quality evaluation, and user adoption. This is an excellent opportunity for an early-to-mid career product professional looking to deepen expertise in AI-enabled products within a fast-paced environment.

Key Responsibilities

Process Discovery & Analysis

• Conduct structured discovery sessions with subject matter experts to understand existing workflows, decision points, bottlenecks, exception handling, and operational metrics.
• Document current-state processes, including cycle times, error rates, manual effort, and business impact.
• Identify undocumented practices, workarounds, and edge cases that may influence solution design.
• Challenge assumptions and validate findings through structured analysis and stakeholder engagement.

AI Solution Design & Documentation

• Translate business and operational insights into future-state AI-driven process designs.
• Create detailed solution specifications outlining functionality, inputs, outputs, business rules, quality controls, and acceptance criteria.
• Evaluate potential external engineering or implementation partners based on capability, experience, and engagement requirements.
• Develop recommendations supported by business cases, impact assessments, and implementation considerations.

Delivery & Partner Management

• Coordinate day-to-day execution activities with external development partners.
• Monitor progress against requirements, milestones, and delivery expectations.
• Review outputs and identify deviations from agreed specifications.
• Facilitate collaboration between technical teams, quality reviewers, and business stakeholders to ensure successful delivery.

Quality Assurance & Evaluation

• Design quality-control frameworks prior to implementation, including review processes, validation methods, and evaluation criteria.
• Collaborate with technical and analytical teams to define success metrics, benchmark datasets, and performance thresholds.
• Ensure solution outputs are reviewed and validated before broader user adoption.

Deployment & Change Adoption

• Coordinate pilot and validation periods that compare AI-generated outputs against existing processes.
• Support stakeholder engagement and change management efforts to drive adoption.
• Measure business outcomes against established baselines and identify opportunities for continuous improvement.

Required Qualifications

• 3 to 5 years of experience in product management, product analysis, business analysis, or a related discipline.
• Direct experience working with AI-enabled or machine learning-based products.
• Demonstrated ability to conduct process discovery with business stakeholders and translate findings into actionable requirements or solution designs.
• Experience producing product artefacts such as process maps, requirements documents, specifications, or design briefs.
• Strong problem-solving skills with the ability to structure ambiguous challenges and drive work independently.
• Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related field.

Preferred Qualifications

• Experience within financial services, fintech, lending, or other highly regulated industries.
• Exposure to high-growth, technology-driven organisations.
• Experience managing or coordinating external technology vendors, consultants, or development partners.
• Master’s degree in a relevant discipline.
• Proven track record delivering AI-enabled solutions in production environments.

Skills & Competencies

• Understanding of AI technologies, large language model applications, intelligent automation, and AI-agent-based workflows.
• Strong process-mapping, business analysis, and workflow redesign capabilities.
• Ability to create clear, implementation-ready specifications and requirements documentation.
• Structured approach to solving complex and undefined business problems.
• Effective stakeholder management and relationship-building skills.
• Strong written and verbal communication abilities.
• Ability to influence adoption by engaging stakeholders throughout the discovery and implementation process.

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Staff / Principal AI/ML Engineer

Location: San Mateo, CA – Hybrid, 2-3 days/week
Remote: Exceptional remote candidates may be considered
Compensation: $250,000-$350,000 base + equity
Level: Mid-Level through Principal, based on experience

The Opportunity

We’re partnering with a fast-growing enterprise AI company building the next generation of AI-powered data engineering and analytics technology.

The company is developing production AI agents that allow enterprise users to interact with complex data through natural language. Rather than manually building data transformations and pipelines, users can describe what they need and AI agents generate, modify, validate, and deploy production-ready workflows.

They’re expanding a small, highly technical AI engineering organization and are looking for engineers who want significant ownership over how these systems are designed and built.

This is not a research or proof-of-concept environment. The systems you build will ship directly into a customer-facing enterprise product.

What You’ll Own

You’ll work across the intelligence layer of the platform, including:

• Architecting multi-step AI agents from design through production
• Building retrieval and knowledge systems that allow agents to reason over complex enterprise data
• Developing RAG pipelines, vector search, semantic retrieval, and knowledge graph capabilities
• Building AI systems capable of generating and modifying production-quality code and data transformations
• Designing evaluation frameworks to measure agent quality, reliability, and performance
• Making decisions around model selection, prompting, fine-tuning, and build-vs-buy
• Solving production challenges involving latency, throughput, scalability, reliability, and observability
• Taking large, ambiguous technical problems from initial concept through deployment
• Helping establish architecture and engineering standards as the AI organization continues to grow

What We’re Looking For

We’re looking for engineers who have built real AI products-not just experiments.

Strong candidates will have:

• Experience building and deploying AI agents or sophisticated LLM-powered systems into production
• Strong software and backend engineering fundamentals
• Advanced Python experience
• Experience with RAG and retrieval architectures
• Experience with vector databases, semantic search, or knowledge graphs
• Experience designing evaluation systems for production AI
• A track record of owning technically complex projects from architecture through deployment
• Experience operating and supporting production systems
• The ability to make architectural decisions in ambiguous, rapidly changing environments
• A strong product mindset and desire to build customer-facing technology

Particularly Valuable Experience

Experience with any of the following would be beneficial:

• Coding agents or code-generation systems
• Knowledge graphs / Neo4j
• Vector databases
• AWS
• Kubernetes
• Go
• Scala
• Java
• Databricks
• Snowflake
• BigQuery
• Spark
• DuckDB
• Large-scale data processing or analytics platforms

Who Will Do Well Here

You’ll likely thrive in this environment if you’re a hands-on builder who enjoys solving problems without a predefined roadmap.

The team moves quickly and expects engineers to challenge assumptions, experiment with new approaches, discard ideas that aren’t working, and continuously rethink architecture as AI technology evolves.

This role is particularly well suited for someone who wants substantial technical ownership and the opportunity to influence how production AI agents are built at the platform level.

Compensation

Base Salary: $250,000-$350,000, depending on level and experience

Equity: Stock options with a four-year vesting schedule and one-year cliff

The company also provides comprehensive health benefits, flexible PTO, professional development support, and additional wellness benefits.

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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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Forward Deployed AI Engineer – Fully Remote

This is a rare opportunity to join an early stage, AI first biotech platform where you will sit at the intersection of advanced engineering and real world scientific impact. You will work directly with customers, deploying cutting edge AI into live research environments and helping teams accelerate how new drugs are discovered and developed.

The Role

• Act as a forward deployed engineer, working closely with client teams to design, build and deploy AI driven solutions on the platform
• Translate complex research and business questions into production ready LLM and RAG workflows
• Debug, optimise and scale LLM applications in real world, client facing environments
• Build and integrate data pipelines and services across cloud platforms and modern data stacks
• Collaborate with non technical stakeholders, clearly explaining platform capabilities and guiding them through best practice usage
• Feed learnings from deployments back into product and engineering teams to shape the roadmap

Your Skills and Experience

• Strong commercial engineering experience in AI, machine learning or data focused roles
• Hands on experience with retrieval augmented generation and production LLM workflows
• Confidence debugging and improving end to end LLM systems in live environments
• Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift
• Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable
• Comfortable in client facing environments, with the ability to work closely with non technical stakeholders
• Background in consultancy, product led organisations or start ups working closely with end users is beneficial
• No prior biotech experience required, but curiosity and the ability to learn complex domains quickly is essential

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AI Transformation Director
New York, NY (Hybrid) | $250,000 – $275,000 Base Salary + 20% Bonus
This is a rare opportunity to join a high-growth consulting business at the forefront of AI transformation. You will work directly with senior executives to help organisations identify where AI can create measurable commercial value, shape transformation strategies, and lead complex programmes that deliver tangible business outcomes.
The Company
They are a well-established innovation and transformation consultancy that partners with enterprise and mid-market organisations to solve complex business challenges. Their work sits at the intersection of strategy, transformation, and AI, helping clients move from identifying opportunities through to delivering real value.
With growing demand for AI transformation services, they are investing heavily in expanding their leadership team. This role offers significant visibility, autonomy, and the opportunity to influence both client outcomes and the future growth of the business.
The Role
As an AI Transformation Director, you will lead strategic AI transformation engagements from opportunity identification through to delivery.
Key responsibilities include:

• Leading AI transformation programmes for enterprise and mid-market clients
• Advising C-suite and senior leadership teams on AI strategy and value creation opportunities
• Defining business transformation roadmaps, operating model changes, and implementation plans
• Structuring and developing proposals, scopes of work, and client approaches
• Leading cross-functional consulting and delivery teams
• Acting as a senior strategic advisor across complex client engagements
• Identifying opportunities to expand client relationships and grow existing accounts
• Translating business objectives into practical AI-enabled solutions that deliver measurable impact
• Supporting commercial growth through engagement shaping and proposal development

Your Skills & Experience
You will bring a strong consulting background combined with experience helping organisations navigate strategic transformation initiatives.
Key requirements include:

• Experience within a leading strategy consulting firm or high-quality transformation consultancy
• Strong client-facing consulting and executive stakeholder management experience
• Expertise in business transformation, growth strategy, operating model design, or digital transformation
• Experience helping organisations identify and realise value from AI initiatives
• Ability to structure complex problems and develop practical transformation strategies
• Experience leading large-scale consulting engagements from strategy through execution
• Strong commercial awareness, including engagement shaping, proposal development, and account growth
• Ability to operate effectively in ambiguous environments and influence senior decision-makers
• Track record of delivering measurable business outcomes for clients

What They Offer

• Base salary of $250,000 with flexibility up to $275,000 for exceptional candidates
• 20% annual bonus
• Hybrid working model based in New York
• Opportunity to work directly with senior executive stakeholders
• High levels of autonomy and ownership within a growing AI consulting practice
• Clear progression opportunities as the business continues to scale
• Potential consideration for candidates forfeiting outstanding bonus or incentive payments

How to Apply
If you have a consulting-led background in business transformation and AI strategy, and are excited by the opportunity to help organisations unlock measurable value through AI, please apply today.

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AI Engineer
London (Hybrid, 3 days per week)

This is an opportunity to join a newly formed AI function at a pivotal stage of growth. You’ll work on high-impact AI initiatives across machine learning, Generative AI and Agentic AI, helping to shape how AI is adopted and scaled across a major organisation.

The Company
Our client is investing significantly in AI as part of a large-scale transformation programme. Operating through a central AI Centre of Excellence, they are building scalable, production-ready AI solutions that deliver measurable business value. This is a chance to join early, influence standards and best practice, and play a key role in a growing AI engineering team.

The Role
You will:

• Design, build and deploy AI and machine learning solutions from concept to production
• Develop applications using LLMs, Generative AI and Agentic AI frameworks
• Deliver predictive, optimisation and automation use cases
• Build robust MLOps and LLMOps processes, including monitoring and evaluation
• Work closely with engineers, data scientists, product teams and business stakeholders
• Help establish AI engineering standards, governance and responsible AI practices
• Contribute to the long-term technical direction of the AI team

Your Skills & Experience

• Strong Python and software engineering background
• Commercial experience delivering machine learning models into production
• Hands-on experience with GenAI, LLMs and AI application development
• Knowledge of MLOps, LLMOps, CI/CD and containerisation
• Experience with cloud platforms, ideally Azure
• Understanding of model evaluation, monitoring and responsible AI
• Strong communication skills with the ability to translate business requirements into technical solutions

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