Tech Lead

### 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. ### 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. Originally posted on [Himalayas](https://himalayas.app)