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 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are looking for a Technical Architect with 10–16 years of technology experience to own end-to-end technical architecture for complex full-stack, cloud-native, GenAI and Agentic AI solutions. The role requires strong hands-on expertise across React.js, Node.js and AWS Serverless, combined with the ability to translate business requirements into scalable, secure and production-ready architectures. Roles & Responsibilities:

• Own and drive end-to-end architecture and technical design for complex applications, microservices, APIs, integrations and AWS Serverless solutions.
• Design and review GenAI/Agentic AI architectures including agents, workflows, orchestration, LLMs, prompts, tools, RAG, knowledge sources, guardrails and enterprise integrations.
• Evaluate technology, framework, LLM and AWS service options and make architecture decisions considering scalability, performance, security, availability, maintainability and cost.
• Lead architecture and technical design reviews, guide Technical Leads and engineering teams, resolve complex technical issues, and drive reusable architecture patterns and accelerators. Professional & Technical Skills
• Strong hands-on expertise in React.js, JavaScript/TypeScript, Node.js, REST APIs, microservices, system integration, distributed/event-driven architectures and databases.
• Strong AWS Serverless and cloud architecture experience with Lambda, API Gateway, IAM, S3, CloudWatch and related services, including CI/CD, IaC, observability, security and production support.
• Strong practical experience with GenAI/LLM and Agentic AI solutions, including Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, prompt engineering, agent orchestration, tool calling, RAG, embeddings, vector databases and semantic search.
• Strong understanding of OAuth2, JWT, SSO, IAM, Responsible AI, AI security, evaluation, guardrails and enterprise AI governance. Additional Information:
• Experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents, MCP and multi-agent architectures is preferred.
• Experience creating architecture diagrams, technical standards, reference architectures, reusable accelerators, modernization strategies and technical PoCs is desirable.
• Strong technical leadership and mentoring skills with experience guiding Technical Leads, Senior Engineers and development teams.