AI/ML Application EngineerGlobalLogic • Delhi, Republic Of India, IN
AI / ML Application Engineer
GlobalLogic • Delhi, Republic Of India, IN
12 days ago
Job descriptionJob 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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Application Engineer • Delhi, Republic Of India, IN
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