Senior AI Engineer

About

You will be responsible for the technical vision and implementation of the AI algorithms that enable the copilot to understand, reason, and reliably answer users’ business-related questions. You will work hand-in-hand with the other tech leads and product leads to define and execute the product’s overall technical strategy.

Responsibilities

• Define and drive the AI strategy: design the technical roadmap around RAG, semantic search, language models (LLMs), agent orchestration (LangGraph, etc.), and answer quality.
• Lead and grow the team (MLEs, data scientists, data engineers): pair programming, code reviews, mentoring, hiring, and establishing best practices.
• Design and industrialize AI pipelines: ingestion, vectorization, indexing, fine-tuning, evaluation, and model monitoring.
• Ensure the robustness and scalability of AI components, working closely with the platform/backend team.
• Collaborate with Product team across squads to turn business requirements into effective technical solutions.
• Conduct continuous technology watch: stay at the forefront of RAG, LLMOps, evaluation frameworks, agents, and multimodality.

What We Expect From You

• You can switch easily between strategic and hands-on work: architect an AI system one day, and optimize a pipeline or model the next.
• You know how to balance delivery speed with technical quality.
• You can communicate clearly with both technical and non-technical stakeholders.
• You drive the adoption of best practices (testing, CI/CD, documentation, monitoring).
• You foster a strong culture of collaboration and feedback.
• You are comfortable in an agile environment (Scrum, squads, sprints, rituals).

Preferred experience

• Solid experience (5+ years) in Machine Learning / NLP / LLMs, including significant work on production-grade projects.
• Strong command of RAG & LLMOps concepts and tools: vector DBs, retrievers, embeddings, evaluation, LangChain/LangGraph, agent orchestration, etc.
• Excellent knowledge of ML frameworks: PyTorch, Transformers, Hugging Face, etc.
• Strong Python skills and good understanding of backend/data architectures (FastAPI, Airflow, Spark, etc.).
• Experience deploying models to production, ML CI/CD, monitoring, and performance.
• Technical leadership abilities: mentoring, code reviews, spreading best practices, cross-squad coordination.
• Curiosity, pragmatism, and a passion for real-world innovation.

Bonus:

• Experience with LLM evaluation frameworks
• Participation in open-source projects or public AI contributions