Overview

Role & responsibilities

Responsibilities

• AI Engineer
• We are looking for AI Engineers to build secure, cloud-native AI applications and agentic solutions. The role combines strong software engineering with hands-on
• experience in the Azure AI ecosystem, retrieval-augmented generation, orchestration, and rapid experimentation.
• Design, build, test, and deploy AI-enabled applications, assistants, and agent workflows. • Integrate large language models using Azure OpenAI Service and build retrieval-augmented generation solutions.
• Implement enterprise search and retrieval using Azure AI Search and suitable vector databases. • Build orchestration with agent frameworks such as LangChain, Semantic Kernel, AutoGen, or custom approaches.
• Expose capabilities through secure APIs and microservices and integrate with enterprise systems. • Use Azure Machine Learning or suitable platform services for deployment, evaluation, monitoring, and lifecycle management.
• Prototype rapidly, evaluate results, improve prompts and retrieval, and convert experiments into maintainable solutions.
• Apply responsible AI, security, privacy, observability, and engineering-quality practices.

Qualifications

• OPEN POSITIONS
• Pune (Kharadi)
• 6 to 8+ years of software development experience using Python, C#, or Node.js. • Hands-on experience with APIs, microservices, and cloud-native architecture.
• Knowledge of retrieval-augmented generation, embeddings, vector search, and vector databases. • Practical experience integrating generative AI models into production-oriented applications. • Strong problem-solving skills with the ability to experiment, learn, and iterate quickly.

Benefits

• Deliver useful, grounded, secure AI capabilities that solve clear business problems. • Establish reusable patterns for agent orchestration, retrieval, deployment, and monitoring.