AI Developer building agentic systems, RAG pipelines, and production AI solutions for Mirego clients. Bridging backend software development with modern AI models and frameworks.
About the role
- AI-Native Full-Stack Engineer at GAIN IQ building from first principles intelligent platforms where LLMs and human creativity intersect. Collaborate with engineers to architect systems that enable insights and automations.
Responsibilities
- Full-stack features across React, Node/Python, Postgres/Supabase, and AWS (Lambda, ECS, SQS, S3, Dynamo, RDS), N8n, and OpenAI Agents SDK
- LLM orchestration pipelines and agentic workflows that distill complexity into intuitive context/action architectures — always keeping the human in the loop
- A unified memory layer that blends relational, non-relational, and vector databases seamlessly
- AI-accelerated development tooling — spec-to-code pipelines, self-documentation, test scaffolding, and automations that make the team faster
- Modular, scalable infrastructure designed for heavy AI workloads and built to last
Requirements
- 3–5 years of hands-on software engineering experience, with a meaningful portion building AI-native systems
- Deep comfort with LLMs, agentic AI orchestration, prompt engineering, embeddings, vector databases, and applied ML
- Strong full-stack foundation: React, Node.js, Python, Postgres/Supabase, AWS (Lambda, ECS, S3, Dynamo, RDS), N8n, OpenAI Agents SDK
- A proven track record architecting pipelines, agent frameworks, and data orchestration layers that integrate LLMs, embeddings, and automation — systems that reason, adapt, and scale intelligently
- A systems thinker who values elegance, modularity, and velocity — and builds with the craftsmanship and curiosity of someone pushing the boundaries of what software can be
- How to stand out: Show us what you've shipped. Links to repos, agentic applications in production, infra diagrams you're proud of, or hard problems you solved with LLMs, agentic workflows, or ML pipelines — any of these go a long way.
Benefits
- Home office allowance
- 3 weeks of paid time off to start
- Work from anywhere in the world up to 20 business days or 4 weeks per year! We want you to build a life and a career at the same time.
- Wellness time, health + dental coverage, health spending account, and wellness spending account so that you can prioritize YOU.
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