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Senior GenAI Engineer

ConfidentialIndia, Hyderabad / Secunderabad, Telangana

2 days ago

Job description

We are seeking a Senior GenAI Engineer to lead the development and deployment of generative AI, LLM, and agentic AI models tailored for business applications.

You will work with cutting-edge AI tools, cloud platforms, and vector databases to deliver scalable and performant AI solutions. This role requires expertise in both technical implementation and governance of AI systems. Join us to contribute your skills in building advanced AI capabilities that drive real-world impact.

Responsibilities

Lead development and fine-tuning of large language models and generative AI solutions
Design and implement retrieval-augmented generation and multi-agent AI architectures
Manage embeddings and optimize models for production deployment
Integrate AI models and agents with cloud APIs, backend services, and data pipelines
Collaborate with data engineers, product managers, and stakeholders to align AI solutions with business needs
Ensure compliance with MLOps best practices for model lifecycle management
Champion AI governance, security, and ethical standards within AI projects
Drive continuous improvement of AI and agentic systems through monitoring and feedback
Oversee orchestration of AI agents and multi-agent workflows for automation
Develop and maintain CI / CD pipelines for AI model deployment
Utilize containerization technologies such as Docker and Kubernetes for scalable deployments

Requirements

Minimum of 5 years experience in AI and machine learning including at least 2 years focused on generative AI and large language models

Strong proficiency in Python programming and deep learning frameworks such as PyTorch and TensorFlow

Extensive knowledge of GenAI and LLM libraries including Hugging Face Transformers, LangChain, and retrieval-augmented generation techniques

Experience with agentic AI tools including LangChain agents, OpenAI function calling, AutoGen, CrewAI, and MetaGPT

Competency in managing vector databases like FAISS, Qdrant, Chroma, and Pinecone

Hands-on experience with cloud AI platforms including AWS SageMaker, AWS Bedrock, Azure OpenAI Service, Azure Machine Learning, and Google Vertex AI

Familiarity with containerization and orchestration using Docker and Kubernetes

Understanding of CI / CD practices and RESTful API integration in AI solutions

Knowledge of microservice architecture style and MLOps best practices

Awareness of AI governance, ethical considerations, and security practices

Skills Required

Microservice Architecture, Tensorflow, Pytorch, Docker, Azure Machine Learning, Kubernetes, Python

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Genai Engineer • India, Hyderabad / Secunderabad, Telangana