Leadership

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:


  • Building production-ready solutions with cutting-edge Generative AI technologies

  • Solving complex problems involving enterprise data, retrieval, and agentic workflows

  • Designing and optimizing vector search and RAG solutions

  • Collaborating with technical and business stakeholders

  • Helping establish reusable AI-development practices across an engineering team

  • Evaluating and improving the accuracy, reliability, performance, and cost of AI applications

What type of experience does the right candidate have:


  • Hands-on experience building and deploying production Generative AI applications using RAG

  • Strong experience designing vector databases and optimizing vector search

  • Production-grade Python experience with async programming, Pydantic, pytest, and modern packaging tools

  • Experience building agentic workflows using LangChain and/or LangGraph

  • Strong knowledge of chunking, embeddings, metadata design, and retrieval strategies

  • Experience ingesting data from platforms such as SQL Server and Snowflake into vector or search databases

  • Experience supporting incremental loads and evolving schemas

  • Daily experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or Windsurf

  • Experience with Git-based workflows and CI/CD

  • Ideally, experience building and validating Text-to-SQL solutions

What the responsibilities are of the right candidate:


  • Design, build, test, and support production-ready Generative AI applications

  • Develop RAG solutions that retrieve relevant enterprise information and generate accurate, grounded responses

  • Design and optimize vector database indexes, schemas, filters, and search queries

  • Select and implement appropriate chunking, embedding, metadata, and retrieval strategies

  • Build data-ingestion pipelines connecting relational platforms such as SQL Server and Snowflake with search and vector stores

  • Develop agentic workflows using LangChain and/or LangGraph

  • Implement state management, conditional routing, memory, checkpointing, and tool-calling capabilities

  • Create automated tests and evaluation processes for AI applications

  • Use AI-assisted development tools to accelerate delivery while maintaining code quality

  • Establish reusable agent instructions, repository rules, and development context for the broader engineering team

  • Participate in Git-based code reviews, CI/CD, deployment, and production support

  • Monitor and improve the accuracy, performance, reliability, and cost of AI solutions

  • Collaborate with technical and business stakeholders to translate use cases into working applications

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