AI Solution Engineer (Generative AI / LLM / RAG)
📍 Location: Remote (United States)
🕒 Duration: 6–8 Month Contract
💰 Rate: Target up to $85/hr
⏰ Work Schedule: Full-Time, Monday–Friday, 8:00 AM – 5:00 PM PST
About the Role
We are seeking an experienced AI Engineer to design, develop, and deploy innovative AI-powered solutions that solve complex business challenges within a highly regulated environment. This role will focus on building intelligent applications leveraging enterprise-grade Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic AI frameworks.
The ideal candidate has hands-on experience developing production-ready AI applications using leading LLM platforms, architecting secure cloud-based solutions, and implementing scalable AI workflows that drive business value.
Key Responsibilities
AI Application Development
- Design, develop, and deploy AI-powered applications utilizing enterprise LLM platforms such as OpenAI, Anthropic Claude, and Google Gemini.
- Translate complex business requirements into scalable AI-driven solutions.
- Develop intelligent context-aware applications and knowledge-driven systems.
RAG Pipeline Engineering
- Architect and implement Retrieval-Augmented Generation (RAG) solutions.
- Optimize vector databases, embedding strategies, chunking methodologies, and retrieval performance.
- Ensure AI responses are accurate, relevant, and grounded in proprietary business data.
End-to-End AI Solution Delivery
- Own the complete AI development lifecycle from ideation and proof-of-concept through production deployment.
- Rapidly prototype and validate new AI use cases.
- Continuously iterate based on stakeholder feedback and business outcomes.
Agentic AI Development
- Build advanced AI workflows using frameworks such as:
- LangGraph
- LangChain
- Semantic Kernel
- Copilot Studio
- Develop autonomous and goal-oriented AI agents capable of managing complex multi-step processes.
Cloud & Infrastructure
- Deploy AI solutions within secure cloud environments, primarily Azure.
- Utilize:
- Azure AI Foundry
- Managed Identities
- Key Vault
- Private Networking
- Docker Containers
- Support AWS-based AI deployments as needed.
MLOps & Operational Excellence
- Implement CI/CD pipelines for AI applications.
- Establish monitoring, testing, version control, and deployment automation.
- Ensure solutions are reliable, scalable, maintainable, and production-ready.
Innovation & Research
- Stay current with emerging AI technologies, frameworks, and model advancements.
- Evaluate and recommend new tools and approaches to improve business outcomes, operational efficiency, and developer productivity.
Required Qualifications
Experience
- 3+ years of hands-on experience in:
- AI/ML Engineering
- Applied AI Development
- Software Engineering with strong AI focus
- Experience building production-grade AI applications.
Technical Skills
- Strong expertise in:
- Python
- REST APIs
- AI application development
- Data pipeline engineering
- Proven experience with:
- OpenAI APIs
- Anthropic Claude
- Google Gemini
- Prompt Engineering
- Function Calling
- Structured Outputs
- Context Window Management
- Hands-on experience with:
- Vector Databases
- Embeddings
- RAG Architectures
- Retrieval Evaluation
- Strong knowledge of:
- Azure AI Services
- Azure DevOps
- Docker
- CI/CD Pipelines
- Cloud Security
Soft Skills
- Excellent communication and collaboration abilities.
- Strong organizational and prioritization skills.
- Ability to work independently in a fast-paced environment.
- Experience working within Agile/Scrum delivery teams.
Preferred Qualifications
- Healthcare technology experience.
- Knowledge of HIPAA and PHI compliance requirements.
- Experience evaluating and benchmarking LLM providers.
- Familiarity with AWS AI/ML services.
- Understanding of regulated industry environments.
Education
Required
- Bachelor''s Degree in:
- Computer Science
- Artificial Intelligence
- Computer Engineering
- Related Technical Field
Preferred
- Master''s Degree in a related discipline.
Never miss an opportunity! Create an alert based on the job you applied for.
