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.

Work arrangement
No