Artificial Intelligence Engineer

Job Title: AI Engineer / Lead
Experience: 5 to 10 yrs.
Job Location: Bangalore / Chennai
Position ID: J0926-0237
Work Type: Hybrid
Employment Type: Full Time / Permanent
Qualification: Bachelors or Masters degree in Computer Science, Engineering, or a related field.

We are looking for an AI Engineer / Lead to join our Automation team and support the design, development, integration, and production deployment of enterprise AI and automation solutions. The role will work closely with the Lead Automation Architect, business teams, data engineering teams, and enterprise technology teams to convert business requirements into scalable, secure, and production ready solutions.

This is a hands on engineering role. The ideal candidate should be comfortable owning development from requirements and technical design through testing, deployment, and production support.
Selected candidates will works under the direction of the internal team lead, who retains ownership of the solution roadmap, architecture approvals, prioritisation, and business stakeholder relationships.

Key Responsibilities

. Design and develop enterprise AI, GenAI, Agentic AI, ML, and automation solutions.
. Build applications and services using Python and modern API/framework technologies.
. Develop AI agents and workflows using LLMs, prompt engineering, tool/function calling, RAG, and enterprise data sources.
. Integrate solutions with enterprise applications like Databricks, SailPoint, Okta, Atlas etc.
. Develop and integrate solutions using Azure services, including Azure OpenAI and related cloud services.
. Work with Databricks datasets and data pipelines for AI/ML and analytical use cases. Having knowledge of ML based forecasting and different ML Models
. Support integration with enterprise platforms such as Salesforce, SAP, Anaplan, Power BI, ServiceNow, and other business systems, where required.
. Implement authentication and authorization using enterprise identity solutions such as Okta, Entra ID / Azure AD, OAuth, and role based access controls.
. Perform unit testing, integration testing, regression testing, and support business UAT.
. Support deployment across Development, Test/UAT, and Production environments.
. Troubleshoot application, integration, infrastructure, and data issues.
. Follow enterprise standards for security, logging, monitoring, exception handling, source control, and deployment.
. Prepare required technical documentation including solution design, deployment instructions, support documentation, and test evidence.
. Work independently while providing clear progress updates, risks, dependencies, and blockers.

Required Technical Skills

. Strong hands on experience with Python.
. Strong understanding of REST APIs and system integrations.
. Experience developing enterprise applications or automation solutions including deployment of solutions to cloud servers
. Git / GitHub or equivalent source control experience.
. Experience with CI/CD and production deployment practices.
. Hands on experience with Generative AI / LLM based application development.
. Prompt engineering and structured LLM outputs.
. RAG and enterprise knowledge retrieval.
. Agent / tool / function calling concepts.
. LLM evaluation, guardrails, error handling, and hallucination mitigation.
. Experience with Azure OpenAI or comparable enterprise LLM platforms.
. Experience working with Microsoft Azure.
. Agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
. Azure Container Apps / App Service / Functions.
. Docker and container based application deployment.

Experience

. 5-10 years of overall software engineering / automation / data / AI development experience.
. Minimum 3+ years of strong Python development experience.
. Demonstrable hands on experience delivering enterprise applications or automation solutions.
. Recent hands on exposure to GenAI/LLM based application development strongly preferred.