AI Automation Engineer

AI / Automation Engineer

Experience: 2–5 years 

The role

We're looking for a Python engineer who builds AI-powered features and automated workflows — someone comfortable moving between backend APIs, LLM integration, retrieval systems, and workflow automation.

You'll design and ship AI features end to end: data in, model in the middle, reliable output the business can depend on.

What you'll do

- Build and maintain Python backend services and APIs

- Integrate LLMs into product features — prompting, structured output, tool calling

- Design and tune RAG pipelines: chunking, embeddings, vector search, retrieval quality

- Build automated workflows that connect systems, APIs and AI steps

- Work with vector and relational databases

- Measure and improve accuracy, latency and cost of AI features

- Write tests and documentation alongside the code

Requirements

- 2–5 years professional software development in Python

- Experience with FastAPI, Flask or Django — REST API design, validation, async

- Hands-on experience integrating LLM APIs into real applications

- Working knowledge of RAG — embeddings, chunking, retrieval

- SQL and relational database design

- Git, code review and testing discipline

- Clear written communication

Strongly preferred

Automation

- n8n (or Make, Zapier, Airflow, Temporal) — building multi-step workflows

- API integration and webhook-driven automation

- Scheduled jobs, queues and background processing

- Automating internal and operational processes end to end

AI

- Agentic RAG — query planning, iterative retrieval, self-correction

- AI agents — tool calling, multi-step reasoning, guardrails

- Vector databases — Qdrant, pgvector, Chroma, Pinecone or Weaviate

- Hybrid search and reranking

- Prompt and context engineering

- Evaluating AI output — accuracy, grounding, hallucination control

- Running open-source models locally — Ollama, vLLM, Hugging Face

- Frameworks such as LangChain, LlamaIndex or similar

- MCP (Model Context Protocol) and current agent tooling

Nice to have

- Docker and basic Linux

- Document processing — OCR, PDF parsing, vision models

- Frontend familiarity (React / TypeScript)

- Cloud platforms (AWS, GCP or Azure)

- Open-source contributions or personal AI projects

What we look for

Curiosity and self-direction. This field moves fast — we want someone who keeps up because they want to, not because they're told to.

• Honesty about what you don't know. Willingness to measure rather than assume. Care about whether a feature actually works, not just whether it demos well.