Infrrd.ai - Python Developer - Generative AI in Bangalore, भारत

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 https://jobeax.com/link/VPYd7mQPtHmtnHVt :- 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 https://jobeax.com/link/Sfehhz4Thrxkijwi :- 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 https://jobeax.com/link/sFr8PJDwhKtDfr8V 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) (ref:hirist.tech)