Work Location: Pune and Bengaluru

Work Mode: 5days Office

Notice period: Immediate to 15days

Roles & Responsibilities:

Design and implement GenAI solutions using LLMs (e.g., GPT, LLaMA, Claude, Mistral) for enterprise use cases.

Fine-tune and optimize pre-trained models for domain-specific tasks.

Develop RAG pipelines using vector databases (e.g., Pinecone, FAISS, Weaviate) and embedding models.

Integrate GenAI into applications via APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), or custom interfaces.

Collaborate with data scientists, MLOps engineers, and product teams to productionize and scale GenAI solutions.

Implement responsible AI practices, including safety filters, prompt engineering, bias mitigation, and model evaluation.

Continuously evaluate and benchmark emerging open-source and commercial models for performance, cost, and alignment.

Years of Experience:

8 13 years of hands-on experience in Generative AI.

Educational Qualification & Certifications (Optional):

Bachelors or Masters degree in Computer Science, AI/ML, or related field.

Relevant certifications in AI/ML or cloud platforms preferred. V. Skill Set Required:

Must Have:

8+ years in AI/ML, with at least 35 years focused on Generative AI or NLP.

Proficiency in Python, transformers (Hugging Face), PyTorch or TensorFlow.

Expertise in LLMs, prompt engineering, and fine-tuning techniques (LoRA, PEFT, QLoRA).

Strong understanding of embeddings, tokenization, vector search, and retrieval systems.

Familiarity with GenAI toolkits like LangChain, LlamaIndex, or OpenAI API.

Experience deploying models on cloud platforms (Azure, AWS, GCP) and working with MLOps tools.

Nice to Have:

Knowledge of RAG architectures and vector databases (Pinecone, FAISS, Weaviate).

Exposure to responsible AI practices and model evaluation frameworks.

Senior Gen AI Engineer