Senior Full-Stack AI Engineer for LLM Apps

• Lead the technical design and delivery of complex, AI-enabled features or services.
• Design, build, and evolve full-stack applications using modern frontend and backend frameworks.
• Build and maintain robust, high-performance APIs using NestJS / NodeJS or FastAPI / Python.
• Integrate Large Language Model (LLM) capabilities into production systems, selecting appropriate patterns, tools, and architectures.
• Guide the evolution of proofs of concept into production-ready, scalable solutions within enterprise constraints.
• Own technical solutions end-to-end, including design, implementation, deployment, and operational readiness.
• Make sound engineering decisions that balance security, scalability, reliability, maintainability, and testability.
• Act as a hands-on engineer: write production code, review code, and contribute to testing and observability.
• Champion strong engineering practices, including code quality, testing, CI/CD, and documentation.
• Identify opportunities for reuse and contribute to shared components, patterns, and standards.
• Collaborate closely with product, architecture, security, and platform teams in an Agile delivery environment.
• Provide technical guidance and mentorship to other engineers through design discussions and example.
• Contribute to continuous improvement of engineering practices within the team or domain.

What you need to have:

• 4- 10+ years of professional software engineering experience, including building and operating production systems.
• Hands-on experience working with Large Language Models (LLMs) in applied or production contexts.
• Strong proficiency in a modern frontend framework, ideally React with TypeScript.
• Deep hands-on experience with NodeJS / NestJS and/or Python (FastAPI or Django).
• Strong understanding of API design, distributed systems, and service-oriented architectures.
• Proven experience deploying, operating, and supporting systems in cloud environments.
• Experience working in Agile delivery teams and collaborating across disciplines.
• Strong communication skills, with the ability to explain technical concepts to a range of audiences.
• Sound engineering judgment and a pragmatic, delivery-focused mindset.

What makes you stand out:

We do not expect experience in all areas below. Strong senior engineers typically demonstrate depth in some areas and familiarity with others.

• Experience designing or implementing Retrieval-Augmented Generation (RAG) systems in applied or production contexts.
• Experience evaluating and selecting GenAI frameworks or tools (e.g., LangChain, LangGraph, LlamaIndex, CrewAI) based on problem context.
• Experience with AI agents, orchestration patterns, or workflow-based AI systems, including understanding when such approaches are appropriate.
• Familiarity with prompt engineering, evaluation techniques, and guardrails for LLM-based systems.
• Experience with cloud-native architectures, CI/CD pipelines, and infrastructure-as-code. xcfaprz
• Understanding of security-driven design and how to address common application or platform vulnerabilities in enterprise systems.