Sr. AI/ML Engineer

Key Responsibilities:

• 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.
  

Required Qualifications:

• Bachelor's degree in computer science, Software Engineering, or a related field
  

• 5-8 years of experience in MLOps, DevOps, or related roles
  

• Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
  

• Have strong familiarity and knowledge of machine learning concepts
  

• Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform
  

Desired Skills:

• Experience with experiment tracking and model versioning tools.
  

• You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQL Alchemy, Alembic, OpenAI, Docker, Azure, Typescript, React.
  

• Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect
  

• Familiarity with software testing and test automation practices
  

• Understanding of ethical considerations in machine learning deployments
  

• Strong problem-solving skills and ability to work in a fast-paced environment