Job Overview :

The ideal candidate will be responsible for designing, developing, and deploying intelligent AI agents, conversational AI solutions, and enterprise-grade AI applications leveraging modern AI frameworks and cloud technologies.

Key Responsibilities :

- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).

- Build and manage autonomous AI agents capable of reasoning, planning, tool usage, and task execution.

- Develop Agentic AI solutions using modern orchestration frameworks.

- Implement Retrieval-Augmented Generation (RAG) architectures for enterprise knowledge management and search.

- Integrate AI models with business applications, APIs, databases, and enterprise systems.

- Fine-tune, optimize, and evaluate LLM performance for domain-specific use cases.

- Design prompt engineering strategies to improve model accuracy and reliability.

- Develop multi-agent systems and workflow automation solutions.

- Collaborate with business stakeholders to identify AI opportunities and translate them into technical solutions.

- Monitor AI system performance, security, governance, and compliance requirements.

- Participate in architecture discussions, code reviews, and AI solution design.

Required Technical Skills :

- Programming Languages : Python (Mandatory), C# / .NET (Preferred), JavaScript / TypeScript, SQL

- AI & Machine Learning : Large Language Models (LLMs), Generative AI, Prompt Engineering, Fine-Tuning Techniques, Model Evaluation, AI Safety & Responsible AI, Agentic AI

- Frameworks & Platforms : LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI APIs, Azure OpenAI Services

- Cloud Platforms : Microsoft Azure, Azure Functions, AWS Bedrock (Preferred)

- DevOps & Deployment : Git, Azure DevOps, Docker, Kubernetes (Preferred)

Required Qualifications :

- Minimum 2 years of hands-on experience with Generative AI and LLM-based application development. Strong understanding of AI architecture patterns, RAG, vector databases, and agent orchestration frameworks.