Sr Lead Software Engineer - Agentic AI Solutions
On-siteMumbai, Maharashtra, India
Job Summary
Define requirements and deliver robust AI-native solutions by designing LLM-driven agent services for design, code generation, and observability on AWS. Develop orchestration layers using frameworks like LangGraph and integrate autonomous agents with toolchains including Jira, Bitbucket, and Terraform. Provide technical leadership through mentorship while driving adoption of AI-assisted engineering practices to improve code quality and delivery speed. Establish validation standards for secure coding and automated testing within the SDLC toolchain. Apply knowledge of AI toolchains to improve automation value at scale while ensuring responsible AI usage and data sensitivity in engineering workflows.
Required Qualifications
- Formal training or certification on software engineering concepts
- 5+ 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
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
Desired Qualifications
- Experience with Azure or Google Cloud Platform (GCP)
- Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.