Senior AI Engineer
- Data & Technology
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.
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Define and drive the AI strategy: design the technical roadmap around RAG, semantic search, language models (LLMs), agent orchestration (LangGraph, etc.), and answer quality.
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Lead and grow the team (MLEs, data scientists, data engineers): pair programming, code reviews, mentoring, hiring, and establishing best practices.
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Design and industrialize AI pipelines: ingestion, vectorization, indexing, fine-tuning, evaluation, and model monitoring.
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Strong understanding of LLM behavior, prompt-engineering techniques, and strategies for orchestrating multi-step AI agents
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Ability to connect AI agents with external tools, APIs, databases, and automation platforms to enable end-to-end workflow execution
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Experience designing and implementing agentic workflows, including task decomposition, tool integration, and autonomous decision-making logic.
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Proficiency in monitoring, evaluating, and optimizing agent performance, including error handling, memory management, and iterative refinement.
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Ensure the robustness and scalability of AI components, working closely with the platform/backend team.
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Collaborate with Product team across squads to turn business requirements into effective technical solutions.
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Conduct continuous technology watch: stay at the forefront of RAG, LLMOps, evaluation frameworks, agents, and multimodality.
What we expect from you
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You can switch easily between strategic and hands-on work: architect an AI system one day, and optimize a pipeline or model the next.
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You know how to balance delivery speed with technical quality.
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You can communicate clearly with both technical and non-technical stakeholders.
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You drive the adoption of best practices (testing, CI/CD, documentation, monitoring).
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You foster a strong culture of collaboration and feedback.
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You are comfortable in an agile environment (Scrum, squads, sprints, rituals).
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