Full Stack Python Developer - Agentic AI Platform

Job Summary

Required Qualifications

• •Ability to independently read, understand, and modify moderately complex Python modules (~300+ lines)
• •Comfortable filling knowledge gaps through documentation and reasoning (not dependent on AI-assisted coding tools)
• •Demonstrated ability to interpret existing systems and implement changes with minimal onboarding
• •Senior Level Python
• •Writes clean, idiomatic Python using Type hints, dataclasses, Pydantic
• •Generators and context managers
• •Strong understanding of Async/await and concurrency models
• •Proficient in Python standard libraries (e.g., pathlib, json, re, collections)
• •Able to modify existing complex systems independently
• •Experience building and extending FastAPI services
• •Strong understanding of Request lifecycle
• •Dependency injection and middleware
• •Multi-worker deployments and shared state (e.g., Redis)
• •Able to diagnose issues using logs and traces (minimal debugger reliance)
• •Experience building production-grade LLM workflows
• •Deterministic prompt design (structured outputs, low/no temperature)
• •Handling failure modes (timeouts, malformed outputs)
• •Understanding of RAG systems: Chunking, embeddings, similarity scoring
• •Experience with stateful orchestration frameworks
• •Must be able to quickly Learn graph/state concepts
• •Implement multi-step workflows within 1–2 weeks
• •Experience with ranking/scoring methods (e.g., BM25, hybrid search)
• •Ability to tune Thresholds, weighting, precision vs recall trade-offs
• •Capable of building realistic test datasets
• •Familiar with log ingestion and analysis pipelines
• •Understands Chunking strategies
• •Pattern extraction vs LLM reasoning
• •When to use deterministic vs AI-based parsing
• •Hands-on experience with Docker / Docker Compose (volumes, dependencies, health checks)
• •Debugging container runtime issues
• •Working knowledge of Redis (basic operations, TTL, persistence)
• •Enterprise networking concepts (e.g., proxies)
• •Ability to work with HTML + Vanilla JavaScript
• •Comfortable with DOM manipulation
• •Fetch APIs and event handling
• •Able to implement UI changes from requirements (no design dependency)
• •~4–8 years in Python development
• •Proven track record delivering production systems
• •Experience with LLM-based or AI platforms

Desired Qualifications

• •Experience with LLM-based or AI platforms preferred
• •Experience with stateful orchestration frameworks preferred