Senior Python Developer

Hello there Infrrd here.Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we’ve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much more. We are building technology that is disrupting the data extraction space for 5+ years now.And now, we are on the lookout for a motivated Senior Python Developer to join our Engineering team. In this role, you will help us to build our product in an efficient and solid way.Job Purpose: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 optimize the existing code and framework.Job Duties and 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 artifacts.- 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.Required Qualifications:- Minimum 6+ years of experience.- Bachelor's in CS/Engineering or equivalent practical experience- Strong Python development background- 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 modeling and query optimization 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 environmentsNice to have skills:- MLOps fundamentals (model/config/versioning, evals, CI for LLM flows).- MCP server or tool-agent patterns for internal developer workflows.- FastAPI/async IO 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 tradeoffs.- Data handling with Pandas and text normalization/tokenizationWorking 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).