Software Engineer II - AI ML

-agent systems, AI toolchains, LLM Orchestration (A2A, MCP) and innovative automation solutions. If you're passionate about shaping the future of engineering-not just building better tools, but developing a dynamic, self-optimizing ecosystem-this is the place for you.

Job responsibilities

• Works closely with software engineers, product managers, and other stakeholders to define requirements and deliver robust solutions.

• Designs and Implement LLM-driven agent services for design, code generation, documentation, test creation and observability on AWS

• Develops orchestration and communication layers between agents using frameworks like A2A SDK, LangGraph, or Auto Gen

• Integrates AI agents with toolchains such as Jira, Bitbucket, Github, Terraform and monitoring platforms

• Collaborates on system design, SDK development and data pipelines supporting agent intelligence

• Provides technical leadership, mentorship, and guidance to junior engineers and team members.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Experience in Software engineering using AI Technologies
• Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, and Vector Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS, Lambda, S3, Terraform)
• Experience with LLMs integration, prompt/context engineering, AI Agent frameworks like Langchain/LangGraph, Autogen, MCPs, A2A.
• Solid understanding of CI/CD, Terraform, Kubernetes, Docker and APIs
• Familiarity with observability and monitoring platforms
• Strong analytical and problem-solving mindset.