Senior Python Developer (AI Exposure a Plus)

Location-

Working Days-

We’re hiring an experienced Python Developer to build and maintain core backend/platform components. This is a Python-first role: you’ll own services, APIs, integrations, data pipelines, performance, and reliability. Any experience with AI/LLMs is a bonus (we’ll treat it as an add-on, not the main requirement). 

Key Responsibilities

• Build and maintain production-grade backend services and APIs using Python (FastAPI/Flask/Django). 
• Design clean, reusable modules and frameworks for internal use (utilities, SDKs, shared libraries). 
• Implement integrations with third-party systems (REST APIs, webhooks, SDKs), and manage auth patterns (OAuth, API keys). 
• Work with data stores: PostgreSQL/MySQL, Redis, and (if needed) search/indexing systems. 
• Write robust background jobs/workers (Celery/RQ/Kafka/SQS—any is fine). 
• Improve system reliability: monitoring, alerting, logs, tracing, retries, timeouts, idempotency. 
• Optimize performance (profiling, caching, query tuning, concurrency/async where appropriate). 
• Own code quality: unit/integration tests (pytest), code reviews, documentation, CI/CD. 

Required Skills & Experience

• 5+ years professional experience in Python development. 
• Strong backend fundamentals: APIs, auth, databases, caching, distributed systems basics. 
• Hands-on experience with FastAPI / Flask / Django (at least one in production). 
• Strong knowledge of SQL and database design (indexes, transactions, migrations). 
• Experience building production systems with Docker; cloud exposure (AWS/GCP/Azure) is a plus. 
• Strong testing practices (pytest), debugging, and performance optimization. 
• Ability to work independently, take ownership, and deliver in ambiguous environments. 

Nice to Have (AI as Add-on)

Basic familiarity with AI/ML concepts or tools: 

• Consuming LLM APIs, prompt handling, tool/function calling 
• RAG basics, embeddings, vector DBs (pgvector/FAISS/Pinecone) 
• Working knowledge of LangChain/LangGraph/LlamaIndex (optional) 
• Experience with data pipelines, ETL, or analytics workflows. 

Candidate Profile

• Strong software engineering mindset (clean architecture, readability, maintainability). 
• Practical problem-solver who can ship and iterate quickly. 
• Comfortable mentoring juniors and raising the overall engineering bar. 

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