Overview
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+ 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.