Senior Software Design Engineer Module Lead Agentic Ai Winwire Hyderabad Bengaluru

Vibehackers; Hyderabad, Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Vibehackers in Hyderabad seeks a Senior Software Design Engineer to lead enterprise AI, GenAI, and Agentic AI initiatives. You will design, build, integrate, deploy, and support scalable GenAI solutions across Dev, UAT, and Production environments.

The role requires hands-on development with Python, Azure OpenAI, and containerized deployments, plus collaboration with architecture, data, and business teams. Strong communication and agile practices are essential.

Qualifications

• 5-8 years of software engineering/automation/AI experience, with 3+ years Python development.
• 5+ years Python development, REST API development & integrations.
• 2+ years GenAI/LLM app development, Agentic AI, RAG, observability, guardrails.
• 2+ years Azure Cloud experience including Azure OpenAI, Azure AI Search, and vector DBs.
• 2+ years Docker, CI/CD, and GitHub.
• 2+ years enterprise authentication (OAuth, Okta, Entra ID/RBAC).

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 issues.
• Prepare solution design, deployment, testing, and support docs.
• Provide updates on risks, dependencies, progress, blockers.
• Participate in code reviews, mentor team members, and develop reusable GenAI components.

Skills

Python development

GenAI/Agentic AI

LLM integration

Azure cloud

APIs & REST

DevOps / CI-CD

OAuth / RBAC

Mentoring

Agile / Scrum

Stakeholder comms

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

Azure OpenAI

Azure AI Search

Cosmos DB

Blob Storage

Key Vault

Databricks

SailPoint

Okta

Salesforce

SAP

Power BI

GitHub

Docker

Job description

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.
• 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.

Skills

System Design Software Architecture API Development Integration DevOps / CI-CD Containerization Authentication & Authorization MLOps Observability & Monitoring Prompt Engineering LLM/Agent Design Testing & Validation Troubleshooting Code Reviews Mentoring Communication Agile/Scrum Documentation Problem Solving Collaboration