AI Engineer

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.