AI-Native Full-Stack Engineer
About The Position
At GAIN IQ, we turn intelligence into action, building AI products that help marketing and growth teams see what matters, test what works, and scale performance that lasts. GAIN is a creative-led, insight-driven company that blends data, tech and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks imagination, and where innovation turns possibility into progress. We are explorers of new frontiers, shaping bold strategies that move people, brands, and businesses forward. Individually and together, our specialist teams provide the vision, data, and confidence brands and organisations need to make braver, more impactful decisions. Today as GAIN, we work as a united force, using data to fuel creativity, and technology to unlock new possibilities. As imagineers we don’t just embrace innovation – we engineer it, transforming information into action, and ideas into breakthroughs. This is where rebel thinking, smart technology, and data-driven creativity shape the future. Through our five specialist teams: Creative Studio, Conversion, Customer Science, Experience and Performance. Individually, and together, we work to fuel your growth and deliver measurable impact. Most "AI companies" bolt LLMs onto existing products. We're building from first principles — an intelligent platform where LLMs, vector databases, and human creativity intersect. An ecosystem of orchestrated agents that reason across structured, unstructured, and relational data to produce novel insights and automations that weren't possible before. This isn't a role where you integrate a ChatGPT widget. You'll be architecting the systems that make agents think, remember, and act — and doing it with engineers who care deeply about elegance and craft.
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
Nice To Haves
- 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.
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
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!
- Wellness time, health + dental coverage, health spending account, and wellness spending account so that you can prioritize YOU.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
