Agentic AI/AI Engineer - Generative AI & Machine Learning

Hudson Manpower

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2-3 years of AI or Machine Learning engineering experience.
  • Proficiency in Python for backend and machine learning development.
  • Experience with React for frontend development.
  • Strong understanding of Generative AI, LLMs, and agent-based systems.
  • Hands-on experience with GCP AI/ML services.
  • Familiarity with SQL and relational databases like MS SQL Server and MySQL.

Responsibilities

  • Develop and enhance applications using Generative AI and Machine Learning.
  • Work with Large Language Models (LLMs) to improve AI-powered features.
  • Create and deploy intelligent agents for process automation.
  • Translate business specifications into technical requirements for AI projects.
  • Conduct experiments and implement new AI technologies.
  • Lead project migrations to the Google Cloud Platform (GCP).
  • Engage in full-stack development focusing on Python and React.

Benefits

  • Opportunities to work with cutting-edge AI technologies.
  • Dynamic and innovative team environment.
  • Exposure to various cloud services in GCP.
  • Potential for career growth through continuous learning and experimentation.
  • Collaborative culture that values input from all team members.
Full Job Description
Job Summary:

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 AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.

Key Responsibilities:
  • 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 AI-powered 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 full-stack 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.

Other Qualifications:
  • Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
  • A portfolio of projects demonstrating your expertise in AI and full-stack development.


Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 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 agent-based 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.
  • Hands-on 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 non-functional testing of AI/ML applications and operationalizing it in production

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