Technical Team Lead - Custom Software Engineer

Accenture India Private Limited; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Accenture India Private Limited in Bengaluru is seeking a Technical Team Lead with 6-10 years of software development experience to guide architecture and delivery of cloud-native applications using React.js, Node.js and AWS Serverless technologies.

You will mentor engineers, drive GenAI/LLM-enabled solutions, design scalable systems, perform code reviews, and collaborate with product, QA and UX teams to ensure high quality outcomes.

Qualifications

• Minimum 5 year(s) of experience in software development.
• Lead Technical Team Lead with 6-10 years of experience for scalable cloud-native apps using React.js, Node.js and AWS.
• Practical GenAI, LLM-based applications and Agentic AI experience required.

Responsibilities

• Lead design and hands-on development of React.js and Node.js apps, microservices and REST APIs on AWS serverless.
• Design and integrate GenAI/LLM capabilities and AI agents, including prompts and tool calls.
• Drive architecture decisions, code reviews, governance, and engineering quality.
• Mentor developers and coordinate with architects, product, QA and UX teams.

Skills

React.js

Node.js

JavaScript/TypeScript

REST APIs

Microservices

GenAI

Education

15 years education

Tools

AWS Lambda

API Gateway

IAM

S3

CloudWatch

Git

CI/CD

Automated Testing

Databases

DevOps practices

Job description

Custom Software Engineer Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Generative AI Good to have skills : Node.js, React.js Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a Technical Team Lead with 6-10 years of software development experience to provide hands-on technical leadership for scalable cloud-native applications using React.js, Node.js and AWS Serverless technologies. The role requires practical experience in GenAI, LLM-based applications and Agentic AI, with responsibility for technical design, architecture, implementation and mentoring.

Roles & Responsibilities

• Lead technical design and hands-on development of React.js and Node.js applications, microservices and REST APIs deployed on AWS serverless technologies.
• Design and integrate GenAI/LLM capabilities and AI agents, including agent workflows, prompts, tool/function calling, RAG and enterprise integrations.
• Drive architecture and technical decisions, code reviews, technical governance, engineering quality and resolution of complex technical issues.
• Mentor developers, break down complex features into implementable tasks, manage technical risks and collaborate with architects, product, QA and UX teams.

Professional & Technical Skills

• Strong proficiency in React.js, JavaScript/TypeScript, Node.js, REST APIs, microservices, application design patterns and system integration.
• Hands-on experience with AWS Lambda, API Gateway, IAM, S3, CloudWatch and cloud-native architecture, along with Git, CI/CD, automated testing, databases and DevOps practices.
• Practical experience with GenAI/LLM application development, Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, Agentic AI, prompt engineering, tool/function calling, agent orchestration, RAG, embeddings, vector databases and semantic search.
• Strong understanding of authentication/authorization, OAuth2, JWT, SSO, security, scalability, performance optimization and observability.

Additional Information

• Experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent, including single-agent, multi-agent or workflow-based solutions, is preferred.
• Exposure to MCP, AI evaluation, guardrails, Responsible AI, AI security, IaC and AI application cost optimization is desirable.
• Strong technical leadership, mentoring and stakeholder-management skills with the ability to lead by example through architecture, coding and design reviews.