| Location | Richardson, TX |
POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
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Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
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MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Technology Specialist - IT Service, Support and Operations | DevOps | Continuous integration - Java -- Full Stack Java Developer
Work Location & Reporting Address: Richardson, TX 75082 (Onsite. Open to candidates willing to relocate and work from Day 1 from the client s location)
Contract duration: 12
MAX VENDOR RATE: #### per hour max
Target Start Date: 30 Oct 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
Java, Artificial Intelligence
LLMs, Cloud
Build intelligent assistants, chatbots, copilots, and knowledge management systems
Nice to Have Skills:
Develop Retrieval
Augmented Generation (RAG) solutions.
Generative AI
Detailed Job Description:
We are seeking a highly skilled Java, Python, AI, LLM, and Cloud Engineer to design, develop, and deploy enterprisegrade AI solutions leveraging Large Language Models LLMs, Generative AI, Machine Learning, and Cloudnative architectures.
The ideal candidate will have strong experience in Java, Python, Generative AI, LLMs, RAG RetrievalAugmented Generation, Vector Databases, Agentic AI, MLOps, and Cloud Platforms such as AWS, Azure, or GCP.
Minimum Years of Experience:
8 to 10 years
Certifications Needed:
None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Design and develop AI-powered applications using LLMs and Generative AI technologies.
Build intelligent assistants, chatbots, copilots, and knowledge management systems.
Large Language Models LLMs
Interview Process (Is face to face required?)
Virtual and possible face-to-face
Any additional information you would like to share about the project specs/nature of work:
Project Code: UHG Optum Advisory Child code for ADM Ba