AI Engineer
autalenthub
Job Description
- Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai.
- AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
- Technical Expertise: Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React.
- LLM and NLP Experience: Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
- Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
- Customer Focus: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
- Adaptability: Thrive in a fast-paced environment and are excited about joining an early-stage venture.
- Model Deployment and Management: Automate model deployment, monitoring, and retraining processes.
- Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code.
- Version Control and Governance: Implement version control and governance for models and data.