Description

You will design and implement Generative AI applications and autonomous agents to solve complex business logic.

Responsibilities

• Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI.
• Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models.
• Manage and optimize data retrieval using Elasticsearch, NoSQL, and Neo4j graph databases.
• Establish LLMOps and MLOps pipelines for model monitoring, evaluation, and deployment.
• Collaborate with front-end teams to integrate AI features into React and Node.js environments.

Required Skills

• Expert-level Python and advanced SQL.
• 5+ years of experience as an AI Engineer or in a specialized Machine Learning role.
• Hands-on experience with LangChain, LlamaIndex, and LangGraph.
• Proven track record of deploying LLM-based applications to production.
• Solid foundation in Machine Learning, Deep Learning, LLM fine-tuning, and prompt engineering.
• Strong understanding of vector embeddings, semantic search, and RAG architectures.
• Experience with Cloud environments (AWS, GCP, or Azure) and CI/CD for ML.

Preferred Skills

• Experience with Docker containerization.
• Familiarity with full-stack integration patterns.

Key Skills

Education

Bachelor's degree