This is a remote position.

Job Activities

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  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.
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  Define technical direction and make pragmatic technology decisions, balancing speed, quality, cost, and reliability, while ensuring maintainability and strong engineering standards.
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  Evaluate and improve AI system performance through structured feedback loops, guardrails, and fallback strategies.
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  Collaborate closely with stakeholders to translate ambiguous business needs into clear technical solutions, influencing product roadmap and prioritization.
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  Own delivery by breaking down complex initiatives, coordinating team efforts, and ensuring timely execution of key milestones.
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  Lead by example through hands-on development, code reviews, and mentorship, fostering a high-quality and scalable engineering culture.
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  Continuously improve processes, documentation, and development workflows to support team efficiency and growth.

Requirements

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  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).
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  Solid expertise in API design, database modeling, software architecture patterns, and scalability fundamentals.
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  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.
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  Ability to evaluate and optimize trade-offs between model performance, cost, and latency, while ensuring reliability through guardrails and structured output strategies.
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  Strong product and problem-solving mindset, with the ability to identify gaps, structure ambiguous problems, and make decisions with incomplete information.
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  Excellent communication skills, able to simplify complex technical concepts and effectively align with non-technical stakeholders, including negotiating scope and priorities.

Nice to Have

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  Experience with AI-assisted development tools (e.g., Cursor, Claude Code, Copilot) and proven ability to increase development velocity using AI.
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  Experience in early-stage startups or small teams, including launching v1 products and improving undefined or unstructured processes.
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  Experience working closely with founders or executive stakeholders.