Generative AI Engineer
Job Type
Contract / Full-Time Employment (FTE)
Experience
5+ years
Location
India
Job Description
Design, develop and implement Gen AI models and algorithms to develop copilot solutions
(leveraging unstructured and structured data) that identify and translate data to feed RAG,
AI inferencing engines, data lakes.Collaborate with other team members to integrate the AI solution.Optimize and fine-tune AI models for performance, scalability, and efficiency.
Key Responsibilities
Strong proficiency in in LLMs and Generative AI platforms (Anthropic, OpenAI)
Prompt engineering and LLM optimization techniques, Retrieval-Augmented Generation (RAG) architectures
Vector database implementations (Postgres, OpenSearch, Pinecone, or Weaviate), AI Agent development and orchestration
Enterprise API development and integration
Proven experience in developing and deploying generative AI models (e.g., GANs, VAEs, transformers).
Strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
Solid understanding of machine learning algorithms, neural networks, and deep learning techniques.
Experience with natural language processing (NLP) techniques and tools, such as SpaCy,NLTK, or Hugging Face
Qualifications
Experience with Azure cloud platform, including Azure Data Factory, Azure Databricks, Azure Machine Learning, and Azure Synapse Analytics.
Excellent problem-solving and analytical skills.
Experience with SQL and NoSQL database (Mongo DB)
Familiarity with cloud-native tools and technologies (e.g., Docker, Kubernetes) is a plus.