AI Engineer

Overview

Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications
25% Travel
Able to Provide Sponsorship

Skills

Artificial Intelligence
Machine Learning (ML)
Prompt Engineering
TensorFlow
Python
PyTorch

Job Details

Job Title: AI Engineer

Location: Sacramento, CA Hybrid (2 days onsite)

Job Type: Long Term Contract

About R Systems:

R Systems is a global leader in technology and analytics services, delivering innovative solutions to drive digital transformation across industries like Telecom, Banking, Healthcare, and Public Services. With over 4,400 professionals in 25+ countries, we are committed to helping our clients achieve operational excellence and enhanced customer experiences.

We are proud to be Great Place to Work Certified in 10 countries, including India, the USA, Canada, and more. Our vibrant team culture fosters collaboration, innovation, and growth, making R Systems a fantastic place to work.

Join us in creating impactful solutions and advancing technology for a better tomorrow.

Job Summary:

We are looking for an innovative and driven AI Engineer with deep expertise in Agentic AI systems to join our cutting-edge AI team. The ideal candidate will have a strong background in designing and deploying intelligent autonomous agents, multi-agent systems, and LLM-powered tools that demonstrate proactive, goal-driven behavior. You will play a key role in advancing our AI capabilities to build self-directed systems that reason, plan, and act with autonomy.\

Required Qualifications:

  • 3 7 years of experience in AI/ML development with at least 1 2 years specifically in agentic AI or autonomous agents.
  • Strong programming skills in Python with familiarity in libraries like LangChain, Transformers, PyTorch/TensorFlow, Hugging Face, OpenAI API.
  • Experience building autonomous agents with planning, memory, and tool-use capabilities.
  • Knowledge of LLMs and prompt engineering techniques for real-world agent design.
  • Hands-on experience integrating agents with APIs, web interfaces, and task automation frameworks.
  • Ability to design and analyze agent behavior in multi-step workflows or simulations.

Why Join Us?

  • Innovative Environment: Work on impactful public sector projects that drive technological advancements.
  • Competitive Compensation: Receive a competitive salary and benefits package that reflects your expertise.
  • Professional Growth: Enjoy opportunities for career development, certifications, and continuous learning.
  • Flexible Work Arrangement: Benefit from a hybrid work model that supports both remote and on-site work.
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