Job Description :

Tech stack
Languages: Python, TypeScript
AI/ML: OpenAI APIs, Anthropic APIs, LangGraph, Custom ML Pipelines
Infrastructure: AWS, PostgreSQL, Redis, Docker, LangFuse, Vector Databases, Graph Databases

What you'll do

- Architect scalable solutions: You’ll break down ambiguous, function-wide problems into shippable technical architectures. You won't just solve the immediate bug; you'll design the systems that prevent it.
- Own the outcome: You won’t just build a feature; you’ll ensure it solves the business problem, monitoring it from deployment through to adoption.
- Elevate engineering standards: You’ll review code and design docs not just to catch errors, but to raise the bar for the entire team. You’ll document knowledge so it doesn't stay in your head.
- Bridge the gap: You will facilitate agreement between engineering, compliance, and ops when they all want different things—translating "make it safe" and "make it fast" into "here is the architecture".
- Balance quality and speed:



You’ll make strategic calls on technical debt vs. shipping speed, knowing when to hack a prototype and when to engineer a platform.

Who you are

- You have 12+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
- You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
- You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
- You lead through uncertainty: When the path isn't transparent, you facilitate the problem-solving discussions that get the team moving.
- You think in systems: You see the structural flaws behind the symptoms. You don't just optimize code; you optimize how the organization solves problems.

📌 Staff Engineer (Bangalore Rural)
🏢 Techmasters Infomatrix
📍 Bangalore Rural