AI Engineer
– Agentic AI (W2 Only)
Location:
Remote (Preference for candidates local to St. Louis, MO)
Employment Type:
W2 Only (No C2C, No Third-Party Vendors, No Sponsorship)
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
We are seeking an experienced
AI Engineer
with hands-on expertise in
Agentic AI
and
multi-agent systems
to join an innovative team building next-generation AI solutions. This is an excellent opportunity to work on cutting-edge AI technologies, designing and deploying intelligent agent-based workflows for real-world business applications.
Required Skills
Proven
Applied Agentic AI engineering experience
with evidence of building and deploying
Agentic AI workflows
in production or client projects.
Strong experience designing and implementing
modern multi-agent architectures .
Hands-on expertise with
agentic AI frameworks and orchestration tools
(LangGraph, CrewAI, AutoGen, Microsoft Semantic Kernel, LangChain, or similar).
Experience contributing to
AI solution architecture and system design .
Strong programming skills in
Python
(R is a plus).
Experience with machine learning frameworks such as
TensorFlow, PyTorch, or Scikit-learn .
Experience developing and deploying AI/ML models into production.
Knowledge of
LLMs, NLP, Retrieval-Augmented Generation (RAG), prompt engineering , and AI workflow automation.
Experience with cloud platforms such as
AWS, Azure, or Google Cloud Platform .
Familiarity with
Spark, Hadoop , or other big data technologies.
Experience working in Agile/Scrum environments using
Azure DevOps
or similar tools.
Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (Bachelor's degree with 5+ years of relevant experience will also be considered).
AI/Cloud certifications such as:
AWS Certified AI Practitioner / Machine Learning
Azure AI Engineer Associate
Azure Fundamentals
Google Professional Machine Learning Engineer
What We're Looking For
The ideal candidate has successfully designed and delivered
Agentic AI solutions
involving autonomous agents collaborating to solve complex business problems. You should be comfortable architecting scalable AI systems, integrating LLMs, and deploying intelligent workflows into production environments.
Important
This position is available on W2 only.
No C2C, third-party vendors, or employer sponsorship available. xsgimln
If you have real-world experience building Agentic AI applications and are excited to work on next-generation AI platforms, we'd love to hear from you!
To Apply:
Please share your updated resume along with a brief summary of your
Agentic AI project(s) , including the frameworks/tools used and your specific contributions.