AI/ ML Engineer

Job Title : AI/ ML Engineer
Job type : W2 Contract
Bill Rate:$70/Hr on w2 Contract
Duration: 10 months
Location:Salem, MA, USA
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Required Qualifications & Experience

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., LangGraph, AutoGen, LlamaIndex, 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, FastAPI, 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.
• Certifications: Google Cloud Platform Professional Machine Learning Engineer or Google Cloud Platform Professional Cloud Architect credential.

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.