Infrrd.ai - Python Developer - Generative AI

About the job : We are on the lookout for a motivated Python Developer to join our engineering team. In this role, you will help us to build our product in an efficient and solid way. To provide hands-on technical support during implementation of product features with a focus on rapid debugging, scripting, and data analysis; ensure smooth integrations and reliable deployments while improving developer productivity using AI-first tools and automation; and optimise the existing code and framework. Responsibilities : - Build and debug features for the product. - Rollout issues across APIs, data transformations, and deployment workflows with rapid turnarounds. - Build and maintain Python utilities/services for validation, transformation, and automation of QC checklist execution. - Implement GenAI workflows using LangChain/OpenAI, including prompt design, tools, and guards for reliability and traceability. - Design and tune vector indexing and retrieval over PGVector for checklist content, policies, and artefacts. - Create evaluators, test harnesses, and regression suites for LLM pipelines and generated code outputs. - Instrument logs/metrics and perform root-cause analysis across data, prompts, and model outputs; document playbooks. - Collaborate with Product/CS/QA to triage tickets, reproduce issues, and ship hotfixes and safe migrations. - Harden deployments with config management, secrets hygiene, and rollback strategies for onboarding and production. - Maintain knowledge base and SOPs for integrations, data contracts, and compliance-sensitive workflows. Requirements : - 4 - 6 years of experience with a strong Python development background. - Bachelor's in CS/Engineering or equivalent practical experience. - Experience implementing GenAI/LLM solutions in production-like settings. - Excellent debugging and communication skills. Must-Have Skills : - Python 3.x with strong software engineering and debugging proficiency. - GenAI/LLM: LangChain, OpenAI API, prompt engineering, tool/function calling, guards. - NLP utilities and text processing with NLTK or similar. - MongoDB data modelling and query optimisation for app/ops flows. - Vector databases and retrieval (PGVector on Postgres) for RAG-like patterns. - Observability and log analysis for rapid root-cause and fix-forward. - LLM orchestration with OpenAI/Gemini, including retries, timeouts, and structured outputs. - Vector retrieval with PGVector (indexing, chunking, similarity tuning, evals). - Debugging onboarding/deployment issues across configs, data, and environments. Nice To Have Skills : - MLOps fundamentals (model/config/versioning, evals, CI for LLM flows). - MCP server or tool-agent patterns for internal developer workflows. - FastAPI/asyncIO for lightweight services and integrations. - CI/CD (GitHub Actions) and infra basics (Docker). - Experience with mortgage/QC/RegTech domains or checklists. - Python packaging, environments, and testing; REST APIs and JSON. - Prompt engineering basics: model limits, latency, and cost trade-offs. - Data handling with Pandas and text normalization/tokenization. Working Knowledge (Tools) : - GitHub/Git; Issues/Projects; PR reviews. - JIRA/Confluence for triage and runbooks. - Postman/cURL for API validation. - VS Code with Copilot/Cursor; Python tooling (venv/poetry/pytest)