Python Developer
Posted 6 Jun 2026
Advertised as “Python Developer - Agentic AI Platform”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4–8 yrs
- Management level
- Individual contributor
No salary listed for this role.
Overview
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
- Build 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
Python (Senior Level)
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Writes clean, idiomatic Python using:
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Type hints, dataclasses, Pydantic
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Generators and context managers
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Strong understanding of:
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Async/await and concurrency models
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Proficient in Python standard libraries (e.g., pathlib, json, re, collections)
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Able to modify existing complex systems independently
Backend Development (FastAPI)
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Experience building and extending FastAPI services
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Strong understanding of:
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Request lifecycle
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Dependency injection and middleware
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Multi-worker deployments and shared state (e.g., Redis)
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Able to diagnose issues using logs and traces (minimal debugger reliance)
LLM Engineering (Applied)
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Experience building production-grade LLM workflows
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Strong in:
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Deterministic prompt design (structured outputs, low/no temperature)