AI Engineer

• We are looking for a passionate AI Engineer to join our product engineering team and help build scalable AI, ML, and Generative AI solutions in production.

Key Responsibilities

• Design, develop, deploy, and monitor AI/ML applications and services.
• Build RAG-based applications, AI assistants, and agentic workflows.
• Develop backend APIs and automation workflows using Python.
• Collaborate with Data Scientists and Product Teams to productionize AI solutions.
• Build and maintain CI/CD pipelines and cloud-native deployments on AWS.
• Implement observability, monitoring, evaluation, and performance optimization for AI systems.
• Work with vector databases, embeddings, semantic search, and knowledge retrieval pipelines.
• Support AI-driven forecasting, simulation, and analytical platforms.

Required Skills

• 2-4 years of experience in AI Engineering, MLOps, ML Engineering, or Backend Development.
• Strong Python programming skills.
• Experience with FastAPI, Flask, or Django.
• Good understanding of Machine Learning and Generative AI concepts.
• Experience with RAG architectures, embeddings, vector databases, and semantic search.
• Hands-on experience with AWS, Docker, Linux, Git, and CI/CD pipelines.
• Strong problem-solving and debugging skills.

Good to Have

• LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen.
• OpenAI, Claude, Gemini, Bedrock, Llama, Mistral.
• Pinecone, Weaviate, ChromaDB, Milvus, pgvector.
• Kubernetes, Ray, MLflow, Airflow, Kubeflow, SageMaker.
• AI observability and evaluation tools such as LangSmith, Arize Phoenix, and Weights & Biases.
• Experience with financial forecasting, simulation, or AI-driven analytical systems.

Location -Chennai, Hyderabad, Bangalore, New Delhi, Mumbai, Pune, Remote