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Lead Full Stack Engineer (Multi Agent Systems)
What the posting is about
Lead Full Stack Engineer with 8+ years of experience, 5+ years in full stack development, and 2+ years in Agentic AI or multi-agent systems. Designs, builds, and mentors teams in AI-native applications using modern cloud, data, and AI technologies.
Read out of the posting
Levelmid
Experience asked8+ years
EmploymentFull time
LocationHyderabad, Telangana, India
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-28
Found viaworkable, direct from their system
We saw it 2 days after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience: Mid-Senior level
Education: Bachelor's Degree
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
Benefits
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Also open at Accellor
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