Jr. AI Backend Engineer

Junior AI Backend Engineer

Mode: Remote / Hybrid 

Experience: 1-3 Years

ABOUT US

We are an engineering team building AI agent systems that automate complex knowledge work — document generation, structured reasoning, and multi-step task orchestration. Our systems are deployed in production and used by real teams to make real decisions.We build carefully, govern rigorously, and take quality seriously.

THE IMPACT YOU WILL MAKE

As a Junior AI / Backend Engineer, you will be responsible for building the backend services and agent pipelines that make LLM outputs reliable, structured, and safe to use in production. Your work will sit at the foundation of every agent capability we ship.

This is systems engineering around AI models

WHAT YOU WILL DO

• API Development: Design and maintain FastAPI services that expose agent capabilities as clean, versioned APIs.
• Agent Pipelines: Build LangChain orchestration pipelines with structured I/O contracts, retry logic, and fallback handling.
• Cloud Infrastructure: Work with Azure infrastructure including Azure OpenAI Service, Blob Storage, and Container Apps.
• 
  Output Reliability: Implement output validation and schema enforcement layers that make LLM responses trustworthy enough for production use.
• Codebase Contribution: Write code that your teammates can read, review, and build on without friction.

WHAT YOU WILL BRING

Required

– 2+ years of Python development with at least one production deployment behind you.

– Solid grasp of async Python and REST API design, with the debugging instincts to match.

– Hands-on experience with LangChain or a comparable LLM orchestration library.

– Working knowledge of Azure: OpenAI Service, Blob Storage, and App Service or Container Apps.

– You understand why output validation, structured schemas, and retry logic matter in production — not just that they exist.

– Comfortable working in a shared codebase with other engineers.

Preferred

– Pydantic for structured output parsing and schema validation.

– Experience with RAG pipelines or document ingestion workflows.

– Azure DevOps or GitHub Actions for CI/CD.

– Any prior work building multi-step or tool-using LLM agents.

WHAT SUCCESS LOOKS LIKE

We are not looking for someone who knows everything. We are looking for someone who ships, learns, and communicates clearly. A strong candidate will be able to show:

– You have built a REST API that other services depend on.

– You have integrated an external API and handled its failure modes, not just the happy path.

– You can explain a design decision, defend it under pushback, and revise it when shown a better argument.

OUT OF SCOPE FOR THIS ROLE

In the interest of honesty, the following are not part of this position:

– Prompt engineering as the primary responsibility.

– Frontend or UI development.

– Machine learning model training or fine-tuning.

– Autonomous deployment to production environments without engineer review.

TECHNOLOGY STACK

Python | FastAPI | LangChain | Azure OpenAI | Azure Blob Storage | Container Apps | Pydantic | GitHub / Azure DevOps

WHY WORK WITH US

– You will work on systems that are used in real projects by real teams — not internal demos or sandboxed experiments.

– You will work closely with senior engineers and architects, not be left to figure things out alone.

– Code quality, system design, and governance are taken seriously here. Your standards will be matched.

– Remote-friendly and outcome-focused. We care about what you ship, not when you log in.