Gen AI / ML Engineer

• Job Title: Gen AI / ML Engineer
• Employment Type: W2 / Full-Time
• Location: United States (Onsite / Hybrid / Remote – Based on Client Requirement)
• Visa: Open to all work-authorized candidates except H1B

Key Responsibilities:

• Design, develop, and deploy enterprise AI/ML solutions using Generative AI, Machine Learning, and Deep Learning technologies.
• Build AI-powered applications using Large Language Models (LLMs) including GPT, Claude, Gemini, Llama, Mistral, and open-source foundation models.
• Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, semantic search, and knowledge retrieval techniques.
• Fine-tune, evaluate, optimize, and deploy machine learning and foundation models for production environments.
• Develop scalable AI APIs and Microservices using Python, FastAPI, Flask, or Django.
• Implement Prompt Engineering, AI Agents, Multi-Agent Systems, autonomous workflows, and LLM orchestration frameworks.
• Build end-to-end MLOps pipelines for model training, versioning, deployment, monitoring, and continuous improvement.
• Integrate AI applications with enterprise systems, cloud services, APIs, databases, and third-party platforms.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI-driven solutions.
• Deploy AI workloads using Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Document AI architectures, model performance, deployment strategies, and technical solutions while supporting production environments.

Contact:

• Mahesh Kyadari, Lead – Talent Management Team
• 📧 [email protected]