Full Stack Engineer

Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!

What project we have for you

Senior Full-Stack Developer. Developing the first Evaluation-Driven AI Engineering Platform.

About the Client. Reframing AI Engineering.

Our client enables teams to evaluate, gate, optimize, and ship AI applications like software. It integrates optimization and evaluation gates into the AI development cycle, ensuring improvements in accuracy, cost, latency, and safety while preventing regressions. At its core, the Client offers a first-of-its-kind approach that seamlessly sets configurations via trial and error for all agent behavior decisions (model, prompt, retrieval, etc.). These decisions are treated as code, and optimized against KPIs on real workloads. The Client is developer-_first, offering zero-code attach via decorators, a CLI/playground for easy scaling, and a PLG-focused learning path. This evaluation-driven approach significantly cuts development time and cost while boosting safety and accuracy by making AI changes measurable, gateable artifacts that integrate with Git and CI.

What you will do

• Design, build, and own Python microservices powering evaluation, gating, and optimization workflows
• Extend distributed compute for large-scale evaluations using Ray/Optuna (or similar)
• Architect cloud-native data/optimization pipelines with strong SLAs and fault tolerance
• Define and maintain clean APIs and event/async communication across services
• Drive performance, observability, tracing, and reliability (metrics, logs, alerts)
• Automate build/test/deploy with Docker, Kubernetes, and CI/CD pipelines
• Contribute to and integrate with the CLI/SDK and support light React/TypeScript UI needs
• Collaborate closely with the founder/CTO and product/design/devrel on roadmap and milestones
• Use LLM-assisted tooling to accelerate coding, reviews, documentation, and tests

What you need for this

Requirements:

• 6+ years in software engineering with strong Python back-end experience
• Proven track record with distributed systems and microservices (async/event-driven)
• Hands-on with Ray, Optuna, or comparable distributed/optimization frameworks
• Strong API design, data pipeline design, and service-to-service integration skills
• Production experience on AWS/GCP/Azure; solid Kubernetes + Docker + CI/CD
• Working knowledge of React/TypeScript/Next.js for light full-stack tasks
• Obsessed with quality: testing, automation, code health, and continuous improvement
• Excellent communication in English; self-driven and comfortable in a fast-moving startup

Will be a plus:

• Experience with evaluation-driven or LLM-assisted development workflows
• Background in distributed optimization, experiment design, or scheduling at scale
• Deep observability chops (tracing, profiling, cost/latency budgeting)
• DevOps/SRE familiarity (infra-as-code, security hardening, multi-tenant SaaS)
• Data/ML plumbing (feature stores, vector DBs, retrieval)
• Contributions to developer tooling (CLI/SDKs) or platform enablement