GenAI / AI-ML Engineer

Position:
GenAI / AI-ML Engineer

Company:
Not specified

Location:
India, Gurugram

Employment type:
Full time

Work Arrangement:
On-site

Short Summary:
We are looking for an experienced GenAI / AI-ML Engineer with strong hands-on expertise in Python, machine learning, deep learning, Large Language Models, Retrieval-Augmented Generation, and agentic AI systems. The selected candidate will be responsible for designing, developing, and deploying scalable AI-powered applications.

Responsibilities:
- Design, develop, test, and deploy scalable AI, machine-learning, deep-learning, and Generative AI solutions.
- Build and optimise Retrieval-Augmented Generation pipelines using modern frameworks, embedding models, and vector databases.
- Develop LLM-powered applications using prompt engineering, AI agents, LangGraph, and multi-agent workflows.
- Fine-tune, evaluate, deploy, and monitor machine-learning and deep-learning models.
- Build REST APIs and backend services for AI applications using FastAPI or similar frameworks.
- Design data-preprocessing, feature-engineering, model-training, and model-evaluation pipelines.
- Integrate structured and unstructured data sources to deliver accurate and context-aware AI solutions.
- Implement semantic search and document-retrieval architectures.
- Evaluate RAG and Generative AI solutions using appropriate quality and performance metrics.
- Collaborate with Data Engineering, DevOps, Product, and other cross-functional teams.
- Ensure the scalability, reliability, security, and performance of AI applications in production environments.
- Follow software-engineering best practices, coding standards, version-control processes, and Agile methodologies.
- Troubleshoot model, API, data-pipeline, and production-performance issues.

Requirement:
- Strong hands-on experience in Python.
- Strong working knowledge of SQL.
- Experience developing REST APIs using FastAPI or similar Python frameworks.
- Good understanding of object-oriented programming, modular development, testing, and software-engineering best practices.
- Experience working in Agile development environments.
- Hands-on experience with Scikit-learn, TensorFlow, PyTorch, Keras.
- Minimum one year of hands-on experience working on GenAI or LLM-based projects.
- Strong understanding of Large Language Models and Natural Language Processing concepts.
- Experience in prompt engineering and prompt optimisation.
- Hands-on experience designing and implementing RAG architectures.
- Experience working with vector databases and similarity-search technologies.
- Experience evaluating RAG solutions using metrics or frameworks.
- Hands-on experience with AWS services such as Amazon EC2, Amazon S3, Amazon SageMaker, Amazon Bedrock.
- Experience working with Docker, Git, JIRA, CI/CD pipelines.

Benefits:
Not specified