AI Engineer

Optomi, in partnership with a leading enterprise organization, is looking for an AI Engineer – Generative AI & RAG.

Position Summary: Optomi is seeking a hands-on AI Engineer to design, build, test, and support Generative AI applications using Retrieval-Augmented Generation, vector databases, and agentic AI workflows. This role is focused on executing and delivering working, production-ready AI solutions rather than serving as a high-level solution architecture lead. The ideal candidate demonstrates initiative, solves complex technical problems, and can quickly learn and apply emerging AI technologies. Experience building Text-to-SQL solutions is highly preferred.

What the right candidate will enjoy:

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  Building production-ready solutions with cutting-edge Generative AI technologies
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  Solving complex problems involving enterprise data, retrieval, and agentic workflows
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  Designing and optimizing vector search and RAG solutions
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  Collaborating with technical and business stakeholders
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  Helping establish reusable AI-development practices across an engineering team
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  Evaluating and improving the accuracy, reliability, performance, and cost of AI applications

What type of experience does the right candidate have:

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  Hands-on experience building and deploying production Generative AI applications using RAG
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  Strong experience designing vector databases and optimizing vector search
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  Production-grade Python experience with async programming, Pydantic, pytest, and modern packaging tools
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  Experience building agentic workflows using LangChain and/or LangGraph
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  Strong knowledge of chunking, embeddings, metadata design, and retrieval strategies
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  Experience ingesting data from platforms such as SQL Server and Snowflake into vector or search databases
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  Experience supporting incremental loads and evolving schemas
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  Daily experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or Windsurf
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  Experience with Git-based workflows and CI/CD
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  Ideally, experience building and validating Text-to-SQL solutions

What the responsibilities are of the right candidate:

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  Design, build, test, and support production-ready Generative AI applications
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  Develop RAG solutions that retrieve relevant enterprise information and generate accurate, grounded responses
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  Design and optimize vector database indexes, schemas, filters, and search queries
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  Select and implement appropriate chunking, embedding, metadata, and retrieval strategies
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  Build data-ingestion pipelines connecting relational platforms such as SQL Server and Snowflake with search and vector stores
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  Develop agentic workflows using LangChain and/or LangGraph
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  Implement state management, conditional routing, memory, checkpointing, and tool-calling capabilities
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  Create automated tests and evaluation processes for AI applications
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  Use AI-assisted development tools to accelerate delivery while maintaining code quality
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  Establish reusable agent instructions, repository rules, and development context for the broader engineering team
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  Participate in Git-based code reviews, CI/CD, deployment, and production support
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  Monitor and improve the accuracy, performance, reliability, and cost of AI solutions
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  Collaborate with technical and business stakeholders to translate use cases into working applications