Description

You will design, develop, and deploy scalable AI/ML solutions, including Agentic AI applications and RAG pipelines, to address complex business challenges.

This role is remote.

Responsibilities

• Build and optimize Machine Learning models using industry-standard methodologies and evaluation techniques.
• Develop Agentic AI applications utilizing frameworks such as LangChain, AutoGen, and CrewAI.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate Large Language Models (LLMs) into enterprise applications and workflows.
• Evaluate model performance using appropriate metrics and continuously improve solution effectiveness.

Required Skills

• 4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.
• Proficiency in Python and libraries such as Scikit-Learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Hands-on experience with Generative AI and Agentic AI frameworks: LangChain, AutoGen, CrewAI.
• Experience building and deploying RAG-based solutions with vector databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus).
• Strong understanding of LLM architectures, prompt engineering, embeddings, and semantic search.
• Experience integrating OpenAI, Anthropic Claude, Gemini, Llama, or equivalent foundation models.
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.

Preferred Skills

• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of MLOps, CI/CD pipelines, and model deployment strategies.

Key Skills

Education

Bachelor's or Master's degrees