Full Stack Python Developer - Agentic AI Platform

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Full Stack Python Developer - Agentic AI Platform

We are hiring a Mid-to-Senior Full Stack Developer to build and extend an Agentic AI platform with strong focus on LLM workflows, orchestration, and backend systems. This role requires a highly independent engineer who can quickly understand existing codebases and deliver production-quality enhancements with minimal guidance.

Core Hiring Bar (Non-Negotiable)

• 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

Key Responsibilities

• Develop and enhance backend services and agentic workflows for the AI platform
• stateful, multi-step LLM pipelines and orchestration logic
• Design, optimize, and maintain retrieval and scoring systems
• Debug production issues using logs, traces, and system behavior
• Collaborate across teams to deliver scalable and reliable AI-driven solutions
• Implement incremental changes with strong testing and validation practices

Technical Requirements

• Writes clean, idiomatic Python using:
• 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
• Strong in:
• Deterministic prompt design (structured outputs, low/no temperature)
• Handling failure modes (timeouts, malformed outputs)
• Understanding of RAG systems:
• Chunking, embeddings, similarity scoring

Workflow Orchestration (LangGraph or Equivalent)

• Experience with stateful orchestration frameworks preferred
• Must be able to quickly:
• Learn graph/state concepts
• Implement multi‑step workflow within 1–2 weeks

Retrieval & Scoring Systems

• 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
• Chunking strategies
• Pattern extraction vs LLM reasoning
• When to use deterministic vs AI-based parsing

Infrastructure & Runtime

• Hands‑on experience with:
• Debugging container runtime issues
• Working knowledge of:
• Redis (basic operations, TTL, persistence)
• Enterprise networking concepts (e.g., proxies)

Frontend (Working-Level)

• Comfortable with:
• DOM manipulation
• Fetch APIs and event handling
• Able to implement UI changes from requirements (no design dependency)
• Strong code‑first discipline (understands design before coding)
• Built‑in focus on:
• Testing and validation
• Writes clean, incremental changes with clear commits
• Performs self‑review against acceptance criteria

Experience & Seniority

• Level: Mid to Senior Engineer
• Experience:
• ~4–8 years in Python development
• Experience with LLM-based or AI platforms preferred

Ideal Candidate Profile

• Highly independent problem‑solver
• Strong systems thinker (not just feature coder)
• Comfortable working in low‑AI‑assist environment
• Bias toward execution, debugging, and delivery quality