AI/ML Engineer

Location: Remote

Experience: 5+ Years About the role We are looking for a skilled AI/ML Engineer with strong experience in Machine Learning and hands-on exposure to Generative AI, LLMs, NLP, and AI application development.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions for real-world business use cases.
• Build and optimize Machine Learning and Deep Learning models.
• Develop Generative AI and LLM-based applications, including RAG-based solutions and AI assistants.
• Work with embeddings, semantic search, vector databases, and prompt engineering.
• Develop AI agents and intelligent workflows using frameworks such as LangChain, LangGraph, or similar tools.
• Build production-ready AI services and APIs using Python and FastAPI/Flask.
• Evaluate and optimize models for accuracy, performance, latency, and cost.
• Deploy AI/ML solutions using Docker, cloud platforms, and MLOps practices.
• Collaborate with engineering, product, and data teams to take AI solutions from concept to production.

Required Skills

• 5+ years of professional experience in AI/ML, Machine Learning, Data Science, or related fields.
• Strong programming skills in Python.
• Strong knowledge of Machine Learning, Deep Learning, NLP, and model evaluation.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Knowledge of Vector Databases such as Pinecone, FAISS, Qdrant, Weaviate, or Milvus.
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Exposure to AWS, Azure, or GCP.
• Good understanding of Docker, APIs, Git, and ML/AI deployment.

Good to Have

• Experience building AI Agents / Agentic AI solutions.
• Experience with LLM fine-tuning or open-source LLMs.
• Knowledge of MLflow, Ragas, LangSmith, or other AI/ML evaluation tools.
• Experience working with production-scale AI applications.