AI Engineer/Data Scientist with Healthcare Payment Integrity Platform - Win at Syncreon Consulting
St. Louis, Missouri, United States -
Full Time


Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Java, Kafka, SQL, NoSQL, AWS, Kubernetes, Docker, CI/CD, GitOps, Payment Integrity, Healthcare Systems, Autonomous Agents, Multi-agent Architectures, Event-driven Architecture, Data Modeling

Industry

Truck Transportation

Description
Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Job Description Required Skills & Experience: 8+ years of software engineering experience. 3+ years leading engineering teams or owning platform architecture. Strong proficiency in: Python or Java (both preferred) Proven experience building configuration-driven systems. Strong database modeling expertise (SQL & NoSQL). Experience designing JSON/YAML/XML configuration interpreters. Hands-on experience with Kafka and event-driven architecture. Experience with AWS cloud services (EKS, ECS, Lambda, S3, RDS, DynamoDB). Strong grasp of CI/CD, Docker, Kubernetes, and GitOps. Strong knowledge of healthcare systems with focus on Payment Integrity. Preference to evaluate additional candidates with stronger hands-on experience in the following areas: Autonomous agents Tool-calling workflows Multi-agent architectures and patterns Local or private AI deployments Advanced reasoning and orchestration beyond prompt engineering solid understanding of selecting and applying different AI models based on specific use cases, including (but not limited to): Qwen 3.6, GLI, Gemma 4, Qwen Next Coder, GPT-OSS, Llama 4, Claude Code, Gemini CLI, ClawBot, Sonnet 4.6/4.7, Codex 5.4, Gemini Pro, etc. Payment Integrity, Kafka is still mandatory. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com Additional Information All your information will be kept confidential according to EEO guidelines.
Responsibilities
The AI Engineer will lead engineering teams and own platform architecture for a healthcare payment integrity system. Responsibilities include designing configuration-driven systems and implementing event-driven architectures using Kafka and AWS cloud services.
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