Lead Full Stack Engineer (Multi Agent Systems)

LocationHyderabad, Telangana, India
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentEngineering
Company size201–500 people
PostedSep 28, 2026 · 2w ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
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.
Skills
LangChain
LangGraph
AutoGen
React
Next.js
Node.js
Java
Spring Boot
Kotlin
GraphQL
tRPC
REST APIs
JavaScript
TypeScript
AWS
Azure
GCP
CI/CD
Docker
Kubernetes
Benefits
Flexible work schedule
Work from home
Paid time off
Paid holidays
Professional development
Communication skills training
Stress management program
Professional certifications
Technical training
Soft skills training
Competitive salary
Family medical insurance
Personal accident insurance
Health awareness program
Extended maternity leave
Annual performance bonus
Referral bonus
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.
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