Our client, a Medical Research company, is looking for a Agentic AI/AI Engineer - Generative AI & Machine Learning for their Schaumburg, IL/Remote location.
Responsibilities:
Design, develop, deploy agent-based software systems
Ability to work with Agentic AI tools, like google's AgentSpace
Expertise in integrating large language models (LLMs)
Developing multiagent architectures
Developing and deploying agentic systems using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel
Implementing RAG (RetrievalAugmented Generation) architectures and integrating them with enterprise knowledge systems
Strong proficiency in Python and experience with AI/ML libraries and frameworks.
Solid understanding of AI concepts, including LLMs, agentic AI, and reinforcement learning.
Experience with cloud platforms like Azure, AWS, or Google Cloud
We are seeking a highly motivated and adaptable AI Engineer to join our innovative team.
The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions.
You will play a key role in migrating and enhancing our AIdriven projects, leveraging Large Language Models (LLMs), and building intelligent agents.
This is an exciting opportunity for a forwardthinking engineer who is passionate about experimenting with cuttingedge technologies and evolving in a fastpaced environment.
Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
Work extensively with Large Language Models (LLMs) to build and refine AIpowered features.
Design, create, and deploy intelligent agents to automate and optimize processes.
Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (GCP) environment.
Engage in fullstack development, with a focus on Python for backend services and React for frontend interfaces.
Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field.
A minimum of 23 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must.
Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agentbased systems. Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
Strong proficiency in Python for backend development and machine learning.
Solid experience with React for frontend development.
Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
Handson experience with GCP AI/ML services, including BigQuery, Google SQL and other technologies and APIs within GCP.
Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
Experience in taking over existing AI/ML applications from other teams.
Estimate at a high level cost of usage in GCP for applications hosted/deployed
Familiar with functional and nonfunctional testing of AI/ML applications and operationalizing it in production
Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
A portfolio of projects demonstrating your expertise in AI and fullstack development.