AI Engineer

Overview
We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications. This role combines hands-on development with AI research and training responsibilities. The ideal candidate will design, prototype, and productionize AI agents, integrate them into enterprise workflows, and publish training resources to help teams adopt and apply AI effectively.

You will work across front-end, back-end, and AI services, leveraging frameworks such as React.js, FastAPI, and Azure AI Foundry, while exploring the latest Generative AI, RAG, and agentic frameworks.

Key Responsibilities

AI Development

• Design, prototype, and productionize AI agents capable of intelligent communication, information retrieval, and task execution.
• Develop and optimize high-performance code for LLM-based and Agentic AI models.
• Drive the roadmap for Generative AI use cases, ensuring scalability and real-world impact.

Collaboration with Teams

• Partner with transformation, engineering, and business teams to tailor AI agents for domain-specific workflows.
• Work with AI platform teams to ensure robust infrastructure, observability, and monitoring.

Integration & Deployment

• Lead and contribute to AI projects from POC to production.
• Deploy, monitor, and scale AI solutions on Azure, AWS, or Google Cloud Platform, using containerized environments (Docker, Kubernetes).
• Integrate AI pipelines into front-end and back-end applications.

Continuous Learning & Optimization

• Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks).
• Perform testing, validation, and performance tuning for compliance and reliability.
• Research and publish internal training resources, workshops, and documentation to upskill teams.

Technologies & Tools

• LLMs: OpenAI, LLaMA, Mistral, Gemini, Claude, Grok
• Agentic Frameworks: Langchain, CrewAI, A2A, LLaMAIndex, RAG pipelines
• Programming & Frameworks: Python, FastAPI, SQL, CosmosDB, Flask, Streamlit, Chainlit
• Frontend: React, Angular
• Cloud & Deployment: Azure Faundry, Azure OpenAI, Docker, Kubernetes, VectorDBs
• Other Tools: Hugging Face Transformers, TensorFlow, Cognitive Services

Experience

• 7–8 years of hands-on experience in developing, deploying, and scaling AI/ML solutions.
• Proven success with Generative AI, NLP/NLU, and AI agent frameworks.
• Experience leading AI-focused projects and collaborating with business & technical stakeholders.

Technical Skills

• Strong proficiency in Python and SQL.
• Familiarity with front-end technologies (React, Angular).
• Experience with containerization and cloud services (Azure/AWS/Google Cloud Platform).
• Solid understanding of prompt engineering, LLM fine-tuning, and RAG techniques