Senior AI Engineer
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
$50 - $55/hr
Hiring Dreams LLC
Fitment
Dice Job Match Score™
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Job Details
Skills
- Access Control
- Artificial Intelligence
- Continuous Improvement
- MSC
- Use Cases
- Prompt Engineering
- Decision-making
- Health Care
- Evaluation
- Regulatory Compliance
- SAFE
- Systems Design
- Systems Engineering
- Mentorship
- Open Source
- Privacy
- Prototyping
- Collaboration
- Data Flow
- Data Science
- Debugging
- Reasoning
- Balanced Scorecard
- Technical Direction
- Workflow
Summary
Job Title -Senior AI Engineer
Location- Remote
Duration- Long-term
Visa-and GC
Client- Healthcare Domain
Interview- Virtual
Experience: 10+ Years
Must Have - Data science exp.
Responsibilities: -
End-to-End AI Feature Ownership
Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
Own the Full Lifecycle: prototyping → evaluation → production deployment → iteration
Ensure solutions are reliable, performant, and aligned with product needs
AI System Implementation
Build and optimize prompt pipelines for specific use cases
Build retrieval systems (embeddings, chunking, ranking)
Implement RAG-based workflows where needed
Iterate on outputs to improve quality, accuracy, and consistency
Design scalable and cost-efficient AI architectures for production workloads
Select and evaluate models (hosted vs open-source) based on use case constraints
Agent-Based Systems (AgentCore)
Design and build agentic workflows capable of multi-step reasoning and decision-making
Integrate agents with tools, APIs, and internal systems to perform real-world actions
Implement planning, execution, and reflection loops for complex tasks
Manage context, memory, and state across multi-step interactions
Balance deterministic workflows vs. agent autonomy for reliability and control
Experimentation & Evaluation
Run structured experiments to compare approaches (prompting, retrieval, models)
Define and track key metrics for AI performance (quality, latency, cost)
Debug and improve non-deterministic system behavior
Build and maintain evaluation datasets and benchmarks
Implement automated evaluation pipelines for continuous improvement
Collaboration & Contribution
Drive technical direction and influence AI adoption across teams
Partner with product managers and designers to scope AI features
Contribute to shared patterns and reusable components
Participate in code reviews and design discussions
Support and mentor mid-level engineers where needed
AI Reliability, Safety & Governance
Design guardrails to ensure safe and reliable AI behavior
Mitigate hallucinations, prompt injection, and model misuse
Ensure compliance with data privacy and enterprise requirements
Implement monitoring and observability for AI systems in production
Implement guardrails for agent actions (tool access control, execution boundaries)
Prevent failure cascades in multi-step agent
Educational Qualifications: -
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Core AI Skills
Strong understanding of LLM capabilities and limitations
Experience with prompt engineering and structured output design
Hands-on experience with embeddings and vector search
Familiarity with RAG architectures and when to apply them
Experience designing agent-based architectures (AgentCore concepts)
Understanding of tool use, planning strategies, and memory mechanisms in LLM systems
Engineering Skills
4+ years of related work experience
Solid backend/system design fundamentals
Experience building and deploying production-grade systems
Ability to debug complex issues, including probabilistic outputs
Comfort working with APIs, pipelines, and data flows
Product Thinking
Ability to translate user needs into effective AI solutions
Strong intuition for balancing quality, latency, and cost
Focus on delivering measurable product impact
Collaboration
Communicates clearly across engineering and product teams
Contributes to team knowledge and shared practices.
Good to have skills
Evaluate agent performance across multi-step tasks (task success rate, error propagation)
Debug and optimize agent decision-making and tool selection behavior
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91141284
- Position Id: 9097511
- Posted 1 hour ago
Company Info
About Hiring Dreams LLC
Hiring Dreams is a premier provider of employment and staffing solutions to customers across the United States. We provide long-term, short- term, temporary-to-permanent, placement staffing and enhanced staffing services. We are a global IT solution provider of end-to-end, innovative, cutting edge software solutions. Hiring Dreams is one of the preeminent hi-tech IT and consulting organization. We brings you the best practices, technologies and business models that can help you stay ahead in a changing economy and marketplace.
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