AI Engineer

In this role, you will Design and build RAG and automation workflows inside our VPC environment. Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git). Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries. Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization. Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions. Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks. Own initiatives end-to-end: scope → design → ship → measure → iterate. It’s all about you 5+ years of production experience with Python (services, async, API integrations, clean and testable code). Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock. Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations. Prompt engineering + structured outputs + tool/function calling. Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses. Agentic patterns: ReAct, function-calling loops, fallbacks. Vector databases: pgvector, Pinecone. Workflow orchestration: n8n, Airflow,...