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.
- Robust technical leadership, mentoring and stakeholder-management skills with the ability to lead by example through architecture, coding and design reviews.

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru