Gen AI Engineer

4 hours ago

Delhi India, India GlobalLogic Full time
  • Job Description – AI/ML Engineer (Generative AI & LLMs


  • About the Role
  • We are looking for a passionate AI/ML Engineer with strong expertise in Generative AI, LLM integration, and RAG-based applications. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI-powered solutions such as chatbots, knowledge assistants, and semantic search systems. You will collaborate with cross-functional Agile teams to rapidly prototype, fine-tune, and productionize intelligent applications.
  • Key Responsibilities
  • Design, develop, and deploy Generative AI applications such as RAG pipelines, chatbots, and knowledge assistants.
  • Integrate and fine-tune LLMs for domain-specific use cases.
  • Implement semantic search solutions using vector databases (Pinecone, FAISS, Weaviate).
  • Build scalable APIs using FastAPI/Flask/Django to serve AI models.
  • Apply MLOps practices (CI/CD, experiment tracking, monitoring) using MLflow, GitHub Actions, Docker, and cloud platforms (Azure/GCP).
  • Collaborate with product managers, data scientists, and engineers in Agile teams to deliver business-ready solutions.
  • Conduct prompt engineering and optimization for efficient model interaction.
  • Ensure performance, reliability, and security in deployed AI systems.
  • Required Skills
  • Programming: Python, PyTorch, TensorFlow
  • Frameworks: LangChain, Hugging Face, Agile, Prompt Engineering, RAG
  • Databases: SQL/NoSQL, Vector DBs (Pinecone, FAISS, Weaviate)
  • Cloud & DevOps: Docker, GitHub Actions, MLflow, Azure OpenAI (experience with GCP/AWS is a plus)
  • APIs: FastAPI, Flask, Django
  • Strong debugging, rapid prototyping, and collaboration skills.
  • Good to Have
  • Prior experience delivering AI-powered search tools, knowledge assistants, or automation solutions.
  • Familiarity with multi-cloud deployments.
  • Exposure to reinforcement learning, model evaluation frameworks, and advanced NLP techniques.
  • Strengths We Value
  • Hands-on coding and problem-solving ability.
  • Ability to translate business needs into scalable AI solutions.
  • Strong teamwork and Agile collaboration.
  • Curiosity to explore and quickly adopt new AI technologies.

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