AI/ML Engineers
Contract
Remote
Rate: $50/he on c2c
Seeking AI/ML Engineers with 3–7 years of hands-on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims, clinical data, provider/payor workflows).
Key Responsibilities
AI/ML Engineering
• Build and deploy production grade ML, NLP, and LLM/GenAI models.
• Implement modern AI architecture patterns: microservices, feature stores, real time/batch inference, embeddings, and retrieval pipelines.
• Convert functional requirements into scalable AI solutions.
Model Development
• Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI.
• Ensure models meet performance, reliability, and scalability standards.
Data & Integration
Work with data engineering teams to integrate models with healthcare datasets (claims, EHR, clinical notes, PA/UM workflows).
• Ensure PHI/PII safe, compliant pipelines.
MLOps / Platform
• Implement CI/CD for ML/LLM workloads using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes.
• Apply LLM Ops foundations for RAG and GenAI use cases.
Collaboration & Delivery
• Work cross functionally with product, cloud engineering, SMEs, and clinical teams.
• Participate in Agile processes and document reusable patterns and decisions.
Required Skills
• 3–7 years AI/ML engineering experience.
• Strong skills in Python (PyTorch/TensorFlow), NLP/LLMs/transformers, GenAI tooling, SQL, and data pipelines.
• Experience deploying ML/LLM systems in Azure/AWS/GCP.
• Solid understanding of U.S. healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
• Experience working in ML Ops / LLM Ops environments
Role:Sr. AI Developer
Contract
Rate: $55/hr
Job Description / Required skillset: We are looking for a Full Stack AI Engineer who can design, build, and operate end to end, AI powered applications. This role blends strong full stack engineering fundamentals with hands on experience applying modern AI/ML and LLM technologies in production systems.
You will work across frontend, backend, and AI layers to deliver scalable, secure, and user centric solutions—owning features from concept to production and continuously improving them using data and feedback.
Key Responsibilities
Full Stack Engineering
Design, build, and maintain end to end web applications using modern frontend and backend frameworks
Develop scalable backend services and APIs (REST / GraphQL) to support AI driven use cases
Ensure high standards for performance, reliability, security, and maintainability
Write clean, testable, well documented code and participate in code reviews
AI / ML & LLM Development
Design and implement AI powered features, including LLM based workflows, retrieval augmented generation (RAG), agents, and prompt driven systems
Integrate AI models into applications using APIs and SDKs (open source or enterprise approved)
Collaborate on model evaluation, prompt tuning, and experimentation to improve quality and accuracy
Apply responsible AI principles, including security, privacy, explainability, and bias mitigation
Cloud, DevOps & Production Readiness
Deploy and operate applications in cloud environments using CI/CD pipelines
Monitor application and AI system performance, reliability, and cost
Troubleshoot production issues across frontend, backend, and AI components
Collaboration & Ownership
Partner with product managers, designers, and other engineers to translate business needs into technical solutions
Contribute to architectural decisions and technical standards
Mentor junior engineers and promote best practices across the team
Required Qualifications
Strong experience in full stack software development
Proficiency in frontend technologies (e.g., React, Angular, or similar)
Proficiency in backend development (e.g., Node.js, Python, Java, or similar)
Hands on experience building or integrating AI/ML or LLM based solutions
Experience with APIs, databases, and distributed systems
Solid understanding of software engineering fundamentals (data structures, APIs, testing, design patterns)
Preferred / Nice to Have Qualifications
Experience with LLMs, prompt engineering, RAG pipelines, or AI agents
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit learn)
Experience deploying AI solutions in production environments
Knowledge of cloud platforms (Azure, AWS, or GCP)
Experience with DevOps, CI/CD, observability, and infrastructure as code
Background in security, compliance, or regulated environments
Role: AI Developer
Contract
Rate: $50/hr.
Job Description / Required skillset: We are looking for a Full Stack AI Engineer who can design, build, and operate end to end, AI powered applications. This role blends strong full stack engineering fundamentals with hands on experience applying modern AI/ML and LLM technologies in production systems.
You will work across frontend, backend, and AI layers to deliver scalable, secure, and user centric solutions—owning features from concept to production and continuously improving them using data and feedback.
Key Responsibilities
Full Stack Engineering
Design, build, and maintain end to end web applications using modern frontend and backend frameworks
Develop scalable backend services and APIs (REST / GraphQL) to support AI driven use cases
Ensure high standards for performance, reliability, security, and maintainability
Write clean, testable, well documented code and participate in code reviews
AI / ML & LLM Development
Design and implement AI powered features, including LLM based workflows, retrieval augmented generation (RAG), agents, and prompt driven systems
Integrate AI models into applications using APIs and SDKs (open source or enterprise approved)
Collaborate on model evaluation, prompt tuning, and experimentation to improve quality and accuracy
Apply responsible AI principles, including security, privacy, explainability, and bias mitigation
Cloud, DevOps & Production Readiness
Deploy and operate applications in cloud environments using CI/CD pipelines
Monitor application and AI system performance, reliability, and cost
Troubleshoot production issues across frontend, backend, and AI components
Collaboration & Ownership
Partner with product managers, designers, and other engineers to translate business needs into technical solutions
Contribute to architectural decisions and technical standards
Mentor junior engineers and promote best practices across the team
Required Qualifications
Strong experience in full stack software development
Proficiency in frontend technologies (e.g., React, Angular, or similar)
Proficiency in backend development (e.g., Node.js, Python, Java, or similar)
Hands on experience building or integrating AI/ML or LLM based solutions
Experience with APIs, databases, and distributed systems
Solid understanding of software engineering fundamentals (data structures, APIs, testing, design patterns)
Preferred / Nice to Have Qualifications
Experience with LLMs, prompt engineering, RAG pipelines, or AI agents
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit learn)
Experience deploying AI solutions in production environments
Knowledge of cloud platforms (Azure, AWS, or GCP)
Experience with DevOps, CI/CD, observability, and infrastructure as code
Background in security, compliance, or regulated environments
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