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Job Description
Structured overview of role & requirementsAbout This Role
Design and build scalable Generative AI applications and solutions using large language models (LLMs) across diverse industries.
Implement and optimize GenAI workflows including prompt engineering, RAG pipelines with vector databases, multimodal AI and autonomous agents.
Manage deployment and operationalization of AI models ensuring security, compliance, performance monitoring, and integration with microservices and APIs.
Minimum Requirements
5+ years experience in NLP/ML/AI with at least 3 years hands-on experience in Generative AI.
Strong coding skills in Python and experience with frameworks like PyTorch, Hugging Face, LangChain, LlamaIndex.
Proven experience deploying AI models on cloud platforms (AWS/GCP/Azure) and familiarity with vector databases such as Pinecone, FAISS, pgvector, etc.
Bachelor’s or Master’s degree in Computer Science, AI, or related field; role is Mumbai-based onsite.
Ideal Candidate Profile
Experienced in building end-to-end GenAI products including prompt engineering, fine-tuning, and deploying at scale in cloud environments.
Comfortable working collaboratively in cross-functional teams including data scientists, ML engineers, and platform teams to deliver enterprise-grade AI solutions.
Ability to assess model benchmarking, cost-performance tradeoffs, and to translate complex technical concepts for varied stakeholder groups.