Senior Software Design Engineer Module Lead Agentic Ai Winwire Hyderabad Bengaluru
Building agentic GenAI systems and developer-facing AI integrations using LLMs, RAG, LangChain and Azure — very much about AI-first development and prototyping.
About the Role
Senior software engineer leading development of enterprise-grade AI and automation solutions using Python and Azure cloud services. The role focuses on designing, building, integrating, and deploying GenAI/Agentic AI systems (LLMs, RAG, agents) and supporting production deployments across Dev, UAT, and Production environments.
Job Description
Role
Senior Software Design Engineer (Module Lead) responsible for hands-on design, development, integration, deployment, and support of enterprise AI, GenAI, and Agentic AI solutions. The role works closely with architecture, business, data, and technology teams to deliver scalable, production-ready systems.
Key Responsibilities
- Design and develop AI, GenAI, Agentic AI, ML, and automation solutions.
- Build scalable applications and services using Python and modern frameworks.
- Develop AI agents using LLMs, prompt engineering, RAG architectures, and tool-calling capabilities.
- Integrate solutions with enterprise systems (Databricks, SailPoint, Okta, Salesforce, SAP, Anaplan, ServiceNow, Power BI).
- Implement and use Azure services including Azure OpenAI, Azure AI Search, Cosmos DB, Blob Storage, and Key Vault.
- Work with Databricks data pipelines and datasets.
- Implement secure authentication and authorization mechanisms (OAuth, Okta, Entra ID/RBAC).
- Support deployments across Development, UAT, and Production and troubleshoot application, integration, infrastructure, and data issues.
- Prepare solution design, deployment, testing, and support documentation.
- Provide regular updates on risks, dependencies, progress, and blockers.
- Participate in code reviews, mentor team members, and develop reusable GenAI components and frameworks.
Requirements
- Bachelors or Master’s degree in Computer Science, IT, Engineering, Data Science, or related discipline (or equivalent industry experience).
- 5-8 years overall software engineering / automation / AI experience with a minimum of 3+ years of strong Python development experience.
- 5 years Python development, REST API development & integrations.
- 2+ years experience in GenAI/LLM application development, Agentic AI, RAG implementation, LLM evaluation, observability, guardrails, error handling, and hallucination mitigation.
- 2+ years experience with Azure Cloud, Azure OpenAI, Azure AI Search, and vector databases.
- 2+ years experience with Docker, CI/CD, and GitHub.
- 2+ years experience with enterprise authentication (OAuth, Okta, Entra ID/RBAC).
- Experience developing and deploying enterprise applications across Dev, UAT, and Production environments.
- Exposure to AI solution testing, monitoring, logging, observability, and MLOps practices.
Preferred / Secondary Skills
- Databricks and ML forecasting models.
- Azure Container Apps, Azure Functions, App Services.
- Additional integrations with enterprise platforms (Salesforce, SAP, ServiceNow, Anaplan, Power BI).
- Transformer models and deeper ML/DL engineering practices.
Soft Skills
- Strong communication and interpersonal skills for stakeholder engagement.
- Problem-solving and analytical thinking.
- Agile/Scrum experience and familiarity with tools such as Jira or Azure DevOps.
- Ability to give and receive constructive feedback and provide regular task updates.
What Success Looks Like (6-12 months)
- Deliver production-ready GenAI solutions that improve operational efficiency and accelerate AI adoption.
- Build reusable components and align implementation with standard coding principles and design documentation.
Tech Snapshot
AI, GenAI, Agentic AI, Python, Azure OpenAI, Azure Cloud, Databricks, RAG, LangChain, LangGraph, Semantic Kernel, AutoGen, REST APIs, Docker, CI/CD, GitHub, OAuth/Okta/Entra ID/RBAC, Cosmos DB, Blob Storage, Key Vault, Transformer models, Vector databases, Databricks data pipelines, MLOps, Azure Container Apps, Azure Functions, App Services, SailPoint, Salesforce, SAP, Anaplan, ServiceNow, Power BI.