Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Generative AI Engineer.
India Jobs Expertini

Urgent! Generative AI Engineer Job Opening In Bengaluru – Now Hiring GlobalLogic

Generative AI Engineer



Job description

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

  • 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.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Generative AI Potential: Insight & Career Growth Guide