The Tech Lead will design and deliver AI-enabled products, implement scalable architectures, define technical direction, and collaborate with stakeholders to translate business needs into technical solutions.
This is a remote position.
We are looking for a highly capable Tech Lead to design and deliver an AI-enabled product from scratch in an environment where requirements may initially be unclear or incomplete.
This role requires someone who combines strong software engineering fundamentals, product thinking, and hands-on experience building systems powered by LLMs or other AI technologies.
The ideal candidate is comfortable operating in a small company environment, working directly with stakeholders to transform ambiguous business needs into scalable technical solutions.
This is a highly hands-on role requiring strong autonomy, pragmatic decision-making, and the ability to structure messy problem spaces.
This role requires someone who combines strong software engineering fundamentals, product thinking, and hands-on experience building systems powered by LLMs or other AI technologies.
The ideal candidate is comfortable operating in a small company environment, working directly with stakeholders to transform ambiguous business needs into scalable technical solutions.
This is a highly hands-on role requiring strong autonomy, pragmatic decision-making, and the ability to structure messy problem spaces.
Job Activities
- Design and implement scalable architectures for AI-enabled products, including LLM integrations, structured workflows (e.g., classification, extraction, reasoning), and RAG or embedding-based solutions.
- Define technical direction and make pragmatic technology decisions, balancing speed, quality, cost, and reliability, while ensuring maintainability and strong engineering standards.
- Evaluate and improve AI system performance through structured feedback loops, guardrails, and fallback strategies.
- Collaborate closely with stakeholders to translate ambiguous business needs into clear technical solutions, influencing product roadmap and prioritization.
- Own delivery by breaking down complex initiatives, coordinating team efforts, and ensuring timely execution of key milestones.
- Lead by example through hands-on development, code reviews, and mentorship, fostering a high-quality and scalable engineering culture.
- Continuously improve processes, documentation, and development workflows to support team efficiency and growth.
Requirements
- Strong experience as a Tech Lead or Senior Engineer, with the ability to design scalable systems from scratch across modern web architectures (frontend and backend).
- Solid expertise in API design, database modeling, software architecture patterns, and scalability fundamentals.
- Hands-on experience integrating LLM APIs into production systems, with a strong understanding of prompting strategies, structured AI workflows, and concepts such as RAG, embeddings, semantic search, and tool/function calling.
- Ability to evaluate and optimize trade-offs between model performance, cost, and latency, while ensuring reliability through guardrails and structured output strategies.
- Strong product and problem-solving mindset, with the ability to identify gaps, structure ambiguous problems, and make decisions with incomplete information.
- Excellent communication skills, able to simplify complex technical concepts and effectively align with non-technical stakeholders, including negotiating scope and priorities.
Nice to Have
- Experience with AI-assisted development tools (e.g., Cursor, Claude Code, Copilot) and proven ability to increase development velocity using AI.
- Experience in early-stage startups or small teams, including launching v1 products and improving undefined or unstructured processes.
- Experience working closely with founders or executive stakeholders.
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Develop and execute territory strategy to acquire and manage mid-market and enterprise multi-location customers. Prospect, present, negotiate, and close complex Comcast Business solutions; build partnerships and maintain customer relationships to drive retention and revenue. Coordinate internal teams to ensure service delivery and maintain accurate sales records.
Top Skills:
Business ContinuityCustomer Premise EquipmentCybersecurityDisaster RecoveryEthernetLanLayer 1Layer 2Layer 3Man TechnologiesManaged Security SolutionsNetwork SecuritySdwanVoipVpnWanWdm
Digital Media • Information Technology • News + Entertainment
Develop and maintain client relationships to achieve sales goals for local advertising; prospect new clients and analyze market research to support proposals.
Top Skills:
AdvertisingCustomer Relationship Management (Crm)Sales
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead technical vision and architecture for ML-driven trajectory generation in autonomous vehicles. Build and deploy scalable training pipelines, integrate models into real-time safety-critical onboard systems, mentor senior engineers, drive cross-functional initiatives, and move solutions from research to production using simulation and large-scale datasets.
Top Skills:
C++Distributed Ml PipelinesGenerative ModelsImitation LearningLarge-Scale Training InfrastructureMotion PlanningOnboard Real-Time SystemsPythonReinforcement LearningSimulation EnvironmentsTrajectory Planning
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


