▷ 3 Days Left : Generative AI Engineer

Job Title : Lead AI / ML Engineer (Generative AI & LLMs)

Experience : 7–10 years

Location : Pan India ( GlobalLogic offices)

Mode : 3 days onsite / week

Preference will be given to candidates who can join within 45 days.

Description :

We are seeking an experienced Lead AI / ML Engineer with a proven track record in Generative AI, LLM integration, and enterprise-scale AI initiatives. The role requires strong expertise in multimodal AI, multilingual systems, fine-tuning, and solution architecture. You will lead cross-functional teams to design, build, and scale AI solutions that serve tens of thousands of users, ensuring high accuracy, performance, and compliance in production environments.

Key Responsibilities

• Lead the design and delivery of enterprise-scale Generative AI solutions (RAG pipelines, multilingual assistants, multimodal platforms).
• Drive advanced fine-tuning of LLMs (LoRA / PEFT) and manage large-scale model integration for custom enterprise use cases.
• Architect and deploy scalable AI / ML workflows leveraging multi-cloud platforms (Azure OpenAI, AWS SageMaker, GCP Vertex AI).
• Implement semantic search and embeddings-based solutions using Pinecone, FAISS, Weaviate, Milvus.
• Build robust APIs and services (REST, GraphQL, FastAPI, Flask, Django) for enterprise AI consumption.
• Apply end-to-end MLOps practices – CI / CD, retraining pipelines, monitoring, autoscaling, compliance, and cost optimization.
• Collaborate with stakeholders, product owners, and engineering leadership to align AI initiatives with business goals.
• Mentor and guide AI / ML engineers, fostering technical excellence and innovation across teams.

Required Skills

Good to Have