Senior AI Engineer - Remote / Telecommute
CYNET SYSTEMS INC.
Minneapolis, MN, United States
23 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Software Quality
Distributed Systems
Python (Programming Language)
Machine Learning
Software Engineering
SQL Databases
Large Language Models
+4 more
Prompt Engineering
Information Technology
Api Design
Data Pipelines
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL).
- 4+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives.
- Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments.
- Experience working with APIs, data pipelines, or distributed systems.
- Familiarity with cloud platforms (e.g., AWS, Azure, or GCP).
- Exposure to AI/ML concepts, including LLMs and prompt engineering.
- Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools.
- Ability to work effectively in client-facing delivery environments.
- Solid collaboration skills and ability to operate within structured project teams.
- Clear communication skills for working with both technical and non-technical stakeholders.
- Ability to execute against defined requirements and evolving priorities.
Nice to Have:
- Master’s degree in a technical discipline (AI/ML, Data Science, Software Engineering).
- Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle).
- Familiarity with healthcare data considerations (e.g., privacy, compliance) is a plus.
- Solid execution focus with attention to detail and code quality.
- Ability to work in fast-paced environments with multiple priorities.
- Willingness to take ownership of assigned components and deliver reliably.
- Continuous learning mindset, particularly in AI and emerging technologies.
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