AI Engineer

Byteonica AI; India; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

Byteonica AI is building production-ready AI agents and seeks an engineer to own features from initial sketch to production, integrating tools, retrieval, evals, and monitoring in reliable systems.

You will design LLM-backed features end to end, work across the stack (TypeScript or Python), and ensure reliability with evals, guardrails, and observability, while actively reviewing peers' code and contributing to a collaborative engineering culture.

Qualifications

• 2+ years shipping production software with LLM-backed systems.
• Proficiency in TypeScript or Python and building API layers.
• Experience debugging models in production.
• Clear writing and clear thinking to explain tradeoffs.

Responsibilities

• Design and ship LLM-backed features end to end, from prompt and tool design through API, data, and UI.
• Build evals, guardrails, retries, observability to ensure trustworthy agents.
• Own delivery: scope work, make decisions, and deploy to users.
• Review others' code and participate in code reviews.

Skills

LLM-backed systems

TypeScript

Python

API development

Frontend basics

Debug production models

Technical writing

Tools

Evals frameworks

RAG at scale

Agent orchestration

Job description

You'll build and ship production AI agents that do real work: tool use, retrieval, evals, and monitoring, wired into systems people depend on. This is hands-on product engineering, not research. You'll own features from the first sketch to the thing running in production, and you'll have room to decide how it's built.

What you’ll do

• Design and ship LLM-backed features end to end, from prompt and tool design through API, data, and UI.
• Build the unglamorous parts that make agents trustworthy: evals, guardrails, retries, observability.
• Own delivery. Scope the work, make the calls, and get it in front of users.
• Review other people’s code and take reviews on your own. Craft is a team habit here.

What we’re looking for

• 2+ years shipping production software, with real time spent on LLM-backed systems.
• Comfortable across the stack: TypeScript or Python, an API layer, a database, and a front end.
• You’ve debugged a model in production, not just a notebook.
• Clear writing and clear thinking. You can explain a tradeoff without hand-waving.

Nice to have

• Experience with evals frameworks, RAG at scale, or agent orchestration.
• You’ve run something you built in front of paying users.
• Open-source work we can look at.

Back to all rolesAI Engineer

• Engineering
• Remote
• Full-time
• 2+ years