Description

You will build and deploy AI/ML systems to solve enterprise challenges.

Responsibilities

• Design and implement AI/ML models for code generation, test automation, documentation, and predictive analytics.
• Build GenAI-powered applications utilizing LLMs and develop multi-agent orchestration systems.
• Create stateful, iterative reasoning pipelines for complex AI workflows.
• Build and optimize MLOps pipelines covering model training, deployment, and monitoring.
• Integrate AI solutions with existing enterprise systems and data sources.

Required Skills

• 4+ years of software engineering experience, including 2+ years in AI/ML.
• Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, and Jax.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models).
• Experience building production ML systems and managing MLOps pipelines.
• Solid understanding of NLP, deep learning, and transformer architectures.
• Proficiency with vector databases (Pinecone, Weaviate, ChromaDB) and RAG systems.
• Experience with containerization using Docker and orchestration with Kubernetes.
• Familiarity with AI agent frameworks including LangChain, LangGraph, CrewAI, and AutoGen.

Key Skills

Education

Any Graduate