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.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


