AI/ML Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract W2
12 Months
No Travel Required
Able to Sponsor
Remote
$60 - $70/hr
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Continuous Integration
  • Management
  • Health Care
  • Good Clinical Practice
  • Privacy

Summary

Job Title: AI/ML Engineer

Location: Remote

Duration: 6 Months + Extension

Bill Rate: $60 - $70/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

  • Core AI/ML & Agentic Engineering (Must-Have)8+ Years in software/AI engineering, with 3+ years directly building, deploying, and maintaining production-grade LLM applications, RAG pipelines, or autonomous agent frameworks.
  • Agentic Frameworks: Hands-on mastery of multi-agent orchestration patterns, tool calling, stateful graphs, and memory management (e.g., Lang Graph, AutoGen, Llama Index, Semantic Kernel).
  • Google Cloud Platform AI Ecosystem: Deep experience with Vertex AI (Model Garden, Endpoint Deployment, Vector Search, Workbench) and cloud-native services (Cloud Run, Pub/Sub, Cloud Functions).
  • Production Python Engineering: Advanced Python expertise (AsyncIO, Fast API, Pydantic, gRPC) writing clean, tested, and containerized microservices.
  • Domain & Architecture Focus Healthcare / Payer Domain: Proven familiarity with Payer workflows (Prior Authorization, Claims Processing, Appeals, Member Engagement) and health data standards (FHIR, EDI X12, ICD-10/CPT).Data & Retrieval:
  • Experience with vector indexing, hybrid search, reranking strategies, and chunking optimization for massive unstructured document stores. Security & HIPAA: Deep understanding of HIPAA compliance, PHI handling, and data privacy in AI pipelines. Nice-to-Have / Force Multipliers Google Cloud Platform Cloud Architecture: Experience with Terraform, Google Cloud Platform VPCs, and IAM fundamentals.
  • Fine-Tuning & Small Language Models (SLMs): Experience fine-tuning domain-specific models (PEFT, LoRA) for structured extraction or classification.
  • Evaluation & Evals Frameworks: Deep experience with automated LLM benching and continuous integration testing for probabilistic software.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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: 91099737
  • Position Id: 282627
  • Posted 2 hours ago
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SV

Sneha Varma

Recruiter @ QUANTUM TECHNOLOGIES LLC
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