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Founding AI Engineer

Fort Worth, TX (4 Days Onsite – Non-Negotiable)
Compensation: Up to $300,000 Base + Meaningful Equity

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About the Opportunity

We are partnering with a well-capitalized, publicly traded company undergoing a significant AI-driven transformation. The organization operates in a highly data-rich environment and is making a substantial long-term investment in artificial intelligence, software development, automation, and intelligent decision systems.

This is not a research role.

This is an opportunity for a highly capable AI Engineer to build production-grade AI products that solve real business problems, influence strategic decisions, and ultimately become core to the company’s competitive advantage. The successful candidate will work directly with executive leadership and have a meaningful role in shaping the company’s AI roadmap from the ground up.

Why This Role Stands Out

Most AI jobs today focus on prototypes, experimentation, and proof-of-concepts.

This role is different.

You’ll be responsible for building AI systems that are actively used, trusted, and integrated into day-to-day operations. You’ll have the autonomy to identify opportunities, architect solutions, deploy production applications, and see the direct impact of your work across the business.

For engineers who enjoy operating at the intersection of:

• AI Agents
• LLM Infrastructure
• Full-Stack Product Development
• Data Systems
• Model Fine-Tuning
• Automation & Workflow Design

this is a rare opportunity to build something meaningful from an early stage.

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What You’ll Be Building

AI Products & Agentic Systems

• Design and deploy AI agents that automate complex workflows.
• Build production-ready LLM applications for internal and external users.
• Develop agent orchestration frameworks and AI-powered decision-support systems.
• Create scalable architectures that move beyond demos into real-world business applications.

Generative AI Infrastructure

• Implement RAG pipelines and vector database architectures.
• Develop evaluation frameworks to measure model performance and reliability.
• Fine-tune and customize models using LoRA and modern adaptation techniques.
• Work with open-source and commercial LLM ecosystems.

Full-Stack Product Development

• Develop backend services and APIs in Python.
• Build user-facing applications using modern frontend frameworks such as React and TypeScript.
• Create intuitive interfaces that make AI useful for technical and non-technical users alike.

Data & Platform Engineering

• Design scalable data architectures and database-backed applications.
• Connect AI systems with operational and business data sources.
• Ensure applications are observable, maintainable, secure, and performant in production environments.

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What We’re Looking For

We are interested in builders.

The ideal candidate has experience taking an idea from concept to deployment and can comfortably operate across multiple layers of the stack.

Core Requirements

• Strong professional software engineering experience in Python.
• Experience building production-grade AI applications.
• Hands-on experience with:
  • AI Agents
  • RAG architectures
  • Vector databases
  • LangChain, LangGraph, or similar frameworks
  • LoRA fine-tuning workflows
  • LLM evaluation methodologies
• Experience developing APIs, backend services, and scalable systems.
• Strong understanding of application security and software architecture.
• Demonstrated ability to build software that real users depend on.

Bonus Points

• React and TypeScript expertise.
• Experience serving or self-hosting open-source models.
• Experience with GGUF, Safetensors, or model optimization workflows.
• Background in distributed systems, platform engineering, or MLOps.
• Startup mentality with a bias toward execution and ownership.

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Who Thrives Here

This environment is best suited for engineers who:

• Move quickly without sacrificing quality.
• Prefer ownership over bureaucracy.
• Want direct access to business leaders and decision-makers.
• Enjoy turning ambiguity into working products.
• Are excited by the opportunity to build AI systems that become mission-critical to an organization.

You’ll be joining a team that views AI as a strategic advantage-not a side project.

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Location Requirement

This role is based in Fort Worth, Texas and requires onsite presence four days per week.

This requirement is non-negotiable. The company believes the strongest outcomes come from close collaboration between engineering, operations, and leadership teams, and has intentionally built an onsite-first culture around innovation and execution.

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Compensation

• Base salary up to $300,000
• Meaningful equity participation
• Long-term wealth creation opportunity
• Executive visibility and influence
• Opportunity to help define the future direction of AI within the organization

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Confidential Search

This search is being conducted on a confidential basis. Further company details will be shared with qualified candidates during the interview process.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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Principal Data Scientist – GenAI & Personalization – Remote (US) | $190k-$220k + 15% bonus

My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.

This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.

Why this role stands out

• Own and shape a core AI capability – scope built around your strengths
• Work on customer-facing GenAI products used at massive scale
• Strong leadership air cover – minimal meetings, protected focus time
• High-visibility work with real-world impact in education

What you’ll do

• Design and build GenAI systems that translate education standards into structured learning objectives
• Improve AI-driven assessments, content generation, and personalization engines
• Apply rigorous statistics to messy human data – and make it production-ready
• Partner closely with engineering on deployment, testing, and optimization

What they’re looking for

• PhD in Statistics or a highly quantitative field
• Strong generative AI experience (personalization or content generation a big plus)
• Excellent Python and end-to-end ownership – research → production → impact
• Clear communicator who can influence both technical and non-technical teams
• 4-5 years post-PhD industry experience

Bonus points for: MLOps, AWS/Databricks, or education experience (not required)

Logistics

• Fully remote (US-based)
• US Citizen or Green Card only (no sponsorship)
• Core availability: 11am-5pm EST

If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.

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Principal Data Scientist
Remote or Hybrid, United States.
Competitive salary plus bonus and benefits

This is a senior-level opportunity to shape the direction of data science and artificial intelligence within a high-impact, product-focused environment. You will operate as a technical leader, driving complex initiatives from concept through delivery while influencing how advanced analytics and AI capabilities are embedded into end-user experiences.

The Company
They are an established organisation investing heavily in data science and AI to enhance their products and deliver meaningful outcomes at scale. Operating at the intersection of technology, data, and user experience, they bring together cross-functional teams to solve complex problems.

The Role
* Lead the design and delivery of high-impact data science and AI solutions aligned to strategic business objectives
* Provide technical leadership across multiple workstreams, ensuring projects are well-scoped, prioritised, and delivered effectively
* Collaborate with product, engineering, and business stakeholders to define problems and translate them into scalable data solutions
* Develop and implement production-grade machine learning and AI systems, including generative AI capabilities
* Communicate insights, recommendations, and technical concepts clearly to a range of stakeholders

Your Skills & Experience
* Strong expertise in data science, machine learning, or artificial intelligence, demonstrated through academic or industry work
* Proven track record of building and deploying production-scale data and AI systems, including experience with generative AI
* Ability to independently define problems, design solutions, and deliver results end-to-end
* Experience providing technical leadership and guiding cross-functional teams
* Strong communication skills, with the ability to influence both technical and non-technical audiences

What They Offer
* Competitive salary with bonus and comprehensive benefits
* Opportunity to lead strategic AI and data initiatives with real business impact
* Collaborative, cross-functional working environment
* Flexibility through remote or hybrid working
* Clear progression opportunities within a growing data and AI function

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Senior Data Scientist
AdTech | Fully Remote (US)
Base salary up to $200K + equity

On behalf of a high-growth AdTech startup, we are partnering with an innovative, venture-backed business that is scaling a data‑driven advertising platform operating at significant volume and complexity. The company is building core technology for real-time decisioning, optimisation, and measurement, and is now seeking a Principal Data Scientist / ML Engineer to play a key role in shaping its machine learning and data science capabilities.

This position represents a true hybrid role, split approximately 50% Machine Learning Engineering and 50% Data Science, with end‑to‑end ownership from research through to production.

The Role

The successful candidate will operate at Principal level, acting as both a hands-on technical leader and a strategic partner to Product and Engineering leadership.

Key responsibilities include:

• Owning and leading high-impact ML and data science initiatives across the business
• Designing and scaling production-grade ML architectures using Databricks and cloud-native tooling
• Building, deploying, and maintaining batch and real-time ML pipelines used in customer-facing systems
• Developing advanced statistical and machine learning models to support optimisation, ranking, forecasting, and attribution use cases
• Establishing best practices for experimentation, feature engineering, model deployment, monitoring, and retraining
• Driving MLOps standards across the organisation, including CI/CD for ML, model versioning, and performance monitoring
• Translating complex business problems into robust, data-driven solutions
• Mentoring senior and mid-level data scientists and ML engineers, while setting a high technical bar
• Contributing to the longer-term ML and data strategy in a fast-scaling startup environment

Required Background

• 6-10+ years of experience across Data Science and/or ML Engineering, with demonstrated impact at Staff or Principal level
• Strong hands-on experience building and operating production ML systems at scale
• Deep expertise with Databricks (Spark, MLflow, Delta Lake, feature pipelines)
• Excellent foundations in statistics, machine learning, and applied mathematics
• Experience working with large, complex, real-world datasets in high-throughput environments
• Proven ability to balance research depth with engineering pragmatism
• Comfortable operating in ambiguous, high-ownership startup settings

Preferred Experience

• Background in AdTech, MarTech, marketplaces, or data-intensive SaaS platforms
• Exposure to real-time or low-latency ML systems
• Experience influencing ML platform or data strategy at company level
• Familiarity with GenAI or LLM use cases within advertising or data products

Why This Opportunity

• Join a rapidly scaling AdTech startup at a pivotal stage of growth
• Significant influence over technical direction, architecture, and modeling approaches
• Fully remote role (US-based)
• Competitive compensation package: up to $200K-$210K base + bonus + equity
• High level of ownership and visibility within the business

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Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus

A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.

Mission

• Act as technical lead for high-impact Data Science and AI initiatives across the organisation
• Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
• Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
• Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
• Mentor senior and junior data scientists, setting technical direction and raising engineering standards
• Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment

Profile

• PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
• Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
• Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
• Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
• Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
• Strong understanding of MLOps / LLMOps in enterprise environments

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Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

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