Job Description:
• Collaborate directly with client stakeholders to understand workflows, data, pain points, and evolving business requirements.

• Translate ambiguous business problems into practical, production-ready technical solutions.

• Rapidly prototype, build, test, and deploy backend services, APIs, data pipelines, integrations, and internal tools.

• Integrate solutions with existing client systems and adapt reusable components across engagements.

• Use AI-assisted and agentic coding tools to accelerate development, debugging, code refactoring, test creation, and engineering automation.

• Build custom AI agents and workflow integrations using Amazon Kiro, Claude Code, Claude API, Claude Agent SDK, OpenAI APIs, GPT models, and agent-based frameworks.

• Working knowledge of REST or GraphQL APIs, containerization, cloud infrastructure, and modern CI/CD practices.

Experience with AWS is preferred; Azure or GCP experience is also relevant

• Evaluate and select appropriate AI models and development tools based on business, technical, security, and integration requirements.

• Support programmatic agentic workflows integrated with CI/CD pipelines.

• Serve as the primary technical point of contact during client engagements and clearly communicate progress, constraints, and technical trade-offs.

• Work effectively under tight timelines, changing requirements, and incomplete information.

• Share field learnings and recurring client patterns with product and platform teams to support broader product improvements.

• Follow modern software engineering, containerization, cloud, CI/CD, code-quality, and security practices

Mandatory skills:
1. LangChain/LangGraph, AutoGen, Semantic Kernel
2. Agent AI orchestration and workflow design. Agent SDK
3. AWS
4. ClaudAPI/Claud SDK