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.