
AI Engineer
3 weeks ago
- Build and optimize LLM-based chatbots and agents using frameworks like LangGraph or LangChain
- Develop and document FastAPI/Flask-based microservices to serve AI models
- Design and maintain RAG pipelines using vector databases (FAISS, Chroma)
- Deploy and track models using MLflow, with proper versioning and metric logging
- Contribute to CI/CD pipelines and containerization using Docker
- Set up experiment tracking, hyperparameter tuning, and structured model evaluation
- Preprocess datasets, build embeddings, and optimize memory usage in inference flows
Required Skills
Must haves;
- 2-4 years Experience with Python, with hands-on experience building APIs (FastAPI or Flask)
- 2+ years Experience with LangChain / LangGraph / Crew ai for chatbot/agent development
- 2+ years Experience with vector stores (FAISS, Chroma, Pinecone or any other vdb) and RAG architectures
- Familiar with transformers and LLMs (OpenAI, LLaMA, Mistral, etc.)
- Ability to build, test, and document clean, maintainable code
Nice to haves;
- Understanding of MLOps practices, including MLflow for tracking and deployments
- Experience with Docker, Git, and cloud-based or local deployment workflows
Ideal Candidate
- Bachelors or Masters degree in Computer Science/ Software engineering/ Data science/ AI or any related field
- 2-4 years of professional experience in AI / Agentic AI
Interested candidates are requested to share there resumes at career@ezhire.life and mention position in the subject line.
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesSoftware Development
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