AI Engineer

Role Summary:
Looking for an experienced AI Engineer with 8-9 years of expertise in AI/ML, Generative AI, LLMs, RAG, MLOps, and cloud platforms. The candidate will design, develop, and deploy scalable AI solutions, AI agents, chatbots, and enterprise GenAI applications.

Key Skills:

• Python, SQL, Fast API, Flask, Django
• Machine Learning, Deep Learning, NLP, Generative AI
• GPT, Llama, Claude, Gemini, Open-source LLMs
• LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen
• RAG, AI Agents, Prompt Engineering, Vector Databases
• PyTorch, TensorFlow, Scikit-learn, Hugging Face
• MLflow, Kubeflow, Azure ML, AWS SageMaker, Databricks
• Azure, AWS, GCP
• PostgreSQL, MongoDB, Redis, Pinecone, Weaviate, ChromaDB

Responsibilities:

• Build and deploy AI/ML and GenAI solutions.
• Develop LLM-based applications, chatbots, and AI agents.
• Implement RAG architectures and vector search solutions.
• Build AI APIs, microservices, and end-to-end AI pipelines.
• Establish MLOps, model monitoring, and governance practices.
• Collaborate with cross-functional teams and mentor junior engineers.

Preferred:

• AI/ML or Cloud Certifications.
• Experience in Healthcare, BFSI, Retail, or Technology domains.
• Exposure to Multi-Agent Systems, Responsible AI, Spark, Kafka, and AI Copilot development.