Staff API/Microservices Engineer (Agentic AI-Focused)

We’re GenAI.Labs, a specialized technical consultancy driven by bold ideas and unrestrained curiosity. Our team tackles complex, cutting-edge problems, partnering with companies like Google and UCLA on everything from revolutionary medical imaging models to breakthrough financial prediction platforms to immersive websites and applications for exploding startups. We’re dreamers who think big, aim high, and love solving the unsolvable.

At GenAI.Labs, you’ll work on innovative, high-impact projects and have the opportunity to drive technical direction within an award-winning company. Join us in building transformative AI solutions and leave a real mark across industries.

Job Overview

We’re seeking a Staff-Level API/Microservices Engineer who combines technical excellence with strong leadership instincts. In this role, you’ll lead the design and development of scalable APIs and microservices powering custom AI systems, websites, and applications. You’ll have the autonomy to shape technical architecture while collaborating with a small, elite team to push boundaries on a daily basis.

Experience in LLM (Large Language Model) integrations, agentic workflows, or conversational AI is a significant plus — many of our upcoming projects involve cutting-edge work in these areas.

Key Responsibilities

• Architect, build, and maintain scalable APIs and microservices to support web, app, and AI product development.
• Design integration layers for LLM-powered systems, agentic workflows, and conversational interfaces.
• Lead the technical execution of projects — defining structure, best practices, and roadmap for API and backend services.
• Collaborate with engineers, data scientists, and AI researchers to bring complex, AI-driven applications to life.
• Drive quality across codebases: implement best practices around performance, security, and reliability.
• Act as a technical mentor within the team, helping to level up others while continuing to challenge yourself.
• Balance hands-on coding with high-level architectural decisions.

Required Qualifications

• Extensive experience (5+ years) designing and building APIs and microservices in production environments.
• Expertise with languages such as Python, Node.js, or Java, and backend frameworks like FastAPI, Flask, or Express.
• Strong background with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Deep understanding of API security, performance optimization, and scalable systems design.
• Familiarity with RESTful standards; GraphQL knowledge is a plus.
• Proven ability to work independently, self-manage priorities, and deliver high-quality results without heavy supervision.
• Strong critical thinking and debugging skills — you solve problems from first principles, not by memorizing recipes.

Bonus Points For

• Hands-on experience building or integrating with LLMs, chatbots, or autonomous agents.
• Knowledge of vector databases, retrieval-augmented generation (RAG) pipelines, or prompt orchestration frameworks.
• Familiarity with event-driven architectures (e.g., Kafka, Pub/Sub).
• Excitement about working at the frontier of AI and building systems that feel like magic.

What We’re Really Looking For

It’s not about the fanciest resume or the longest list of past employers. It’s about curiosity, rigor, and fire. If you’re the kind of engineer who reads papers for fun, wonders about the limits of AI systems, or thinks about how to build truly intelligent infrastructure — you’ll fit right in.

This role is highly selective — not because we believe in gatekeeping, but because we believe in the power of assembling a team of people who genuinely love building, learning, and breaking new ground.

Perks

• High Impact, Small Team: Your work won’t be a cog in the machine — it will shape core products and outcomes.
• Interesting and Impactful Projects: Work directly on AI systems that are used by real customers and cutting-edge companies.
• Cutting-Edge Tech: Stay at the forefront of LLMs, autonomous agents, conversational AI, and next-gen backend systems.
• Fully Remote: We work from anywhere, with the flexibility to create your best work environment.

How to Apply

Forget the formal cover letter. Tell us how you think. Send your resume, and share a story about one technical challenge you solved that lit a fire in you to solve even bigger ones.