Lead Full Stack Engineer - Multi-Agent Systems

About Accellor:

Accellor is a trusted AI and digital engineering partner helping enterprises build scalable, outcome-driven solutions using modern cloud, data, and AI technologies.

We work across Financial Services, Retail, High Tech, and Healthcare, combining deep domain expertise with strong engineering and applied AI capabilities to deliver measurable business impact.

Role Overview:

We are looking for a highly experienced Lead Software Engineer who is a strong Full Stack Engineer at core and has spent the last 2+ years building production-grade Agentic AI and multi-agent systems.

This role is ideal for someone who can design complex systems end-to-end - spanning frontend, backend, AI orchestration, and cloud infrastructure - and mentor teams in building AI-native applications.

Key Responsibilities:

• Architect, design, and build full-stack applications using modern frontend and backend frameworks.

• Design and develop multi-agent AI systems using frameworks such as LangChain, LangGraph, AutoGen, MAF, or similar.

• Build AI-native applications combining agentic workflows, traditional ML, and rules-based systems.

• Develop scalable frontend applications using React, Next.js, and micro-frontend SPA architectures.

• Build backend services using Node.js, Java (Spring Boot / Kotlin), GraphQL, tRPC, and REST APIs.

• Design Backend-for-Frontend (BFF) layers optimized for AI-powered user experiences.

• Architect integrations between frontend, backend, AI services, and enterprise systems.

• Lead system design discussions and translate business requirements into technical architectures.

• Drive best practices for code quality, performance, security, and scalability.

• Mentor engineers and contribute to technical roadmap planning.

Requirements:

• 8+ years of overall software engineering experience.

• 5+ years of experience as a Full Stack Engineer.

• 2+ years building Agentic AI or multi-agent applications.

• Strong frontend experience with React, Next.js, JavaScript/TypeScript.

• Strong backend experience with Node.js and Java (Spring Boot / Kotlin).

• Hands-on experience with agent frameworks and orchestration patterns.

• Experience with BFF design patterns and API gateway configurations.

• Cloud experience (AWS, Azure, or GCP).

• CI/CD, Docker, and Kubernetes experience.

• Strong system design and communication skills.