Generative AI Engineer

2 days ago

Bengaluru, Karnataka, India GlobalLogic Full time ₹ 20,00,000 - ₹ 35,00,000 per year

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

Experience: 7–10 years

Location: Pan India ( GlobalLogic offices)

Mode: 3 days onsite/week

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

  • Programming: Python, PyTorch, TensorFlow
  • Frameworks: LangChain, Hugging Face, LlamaIndex, Prompt Engineering, RAG
  • Cloud & DevOps: Docker, Kubernetes, MLflow, GitHub Actions, Azure OpenAI, AWS SageMaker, GCP Vertex AI
  • Databases: SQL/NoSQL, Vector DBs (Milvus, Pinecone, FAISS, Weaviate)
  • API Development: REST, GraphQL, FastAPI, Flask, Django
  • Expertise in enterprise-scale LLM integration, multimodal AI, multilingual platforms, and embeddings-based semantic search

Good to Have

  • Experience building enterprise AI assistants or multilingual AI platforms serving 50k+ users.
  • Strong understanding of compliance, governance, and security requirements in enterprise AI deployments.
  • Familiarity with reinforcement learning and evaluation metrics for LLMs.

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