Lead Backend Engineer AI

Duties and Responsibilities

1. Design, build, and deploy AI-driven and cloud-native applications using Python, C#, ASP.Net, and .Net Core.

2. Integrate GenAI, LLM, and ML algorithms with Azure AI Foundry, LangChain, or similar frameworks.

3. Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle

4. Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions

5. Improve operations by conducting systems analysis; recommending changes in guidelines and procedures

6. Update job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations

7. Actively participates hand on in product development and roadmap definition

8. Develop prototypes to prove the solutions business value to the Product Requirements

9. Represents technical viewpoint for various technologies during strategic planning

10. Respond to stakeholder requirements from a requirements & technology standpoint and discuss concepts, solutions, technical feasibility & risks with them

11. Support Developers by providing advice, coaching and educational opportunities

12. Participate in knowledge-sharing code reviews

13. Adhere to the Code of Conduct and be familiar with all compliance policies and procedures

• Should be strong in C#,.Net Core -Coding Skills

• Should already be working as a LEAD - Mandatory

• Azure(preferred)/AWS experience mandatory

• Experience working with Python, PyTorch, TensorFlow, or similar frameworks -MANDATORY

• Experience -7+ should be there

• GenAI or Agentic AI -Mandatory

• Have worked on ML flow models supervised or unsupervised — or some ML exposure -hands on -Mandatory

• CI/CD Experience -mandatory

• Containerization with Docker, Kubernetes

• Experience with integrating GenAI/LLM/ML algorithms with Azure AI Foundry, MCP, or LangChain

• Knowledge in modern data technologies such as Delta Lake, Azure Data Lake, Blob Storage, NoSQL DB, Databricks, PySpark, Scala, or Spark SQL

• MS SQL and REST API

• Knowledge of Integration with SSO token authentication and authorization ADFS/ MS Entra ID / Auth 0