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AI/ML Engineer
Posted: 06/01/2026
Employment Type:
Contract
Job Category: Software Engineer
Job Number: 26070
Workplace Type: Remote
Job Description
Technical Requirements:
-Experience: 7+ years of software/ML engineering, with recent hands-on AI/LLM work.
-Python: Advanced; production experience with APIs, async, and testing.
-AI / LLM agents: Designing and implementing autonomous or semi-autonomous agents (tool- using, planners, orchestrators).
-Agent frameworks: Hands-on with at least one (LangChain, LangGraph, LlamaIndex, Semantic Kernel, Google ADK).
-MCP: Agent communication, coordination, or protocol-driven AI architectures.
-Evaluation & guardrails: Prompt regression tests, hallucination and quality metrics, and guardrails for PII, jailbreaks, and unsafe outputs.
-ML lifecycle: ML pipelines, deployment, evaluation, monitoring; embedding models, vector DBs, and RAG.
-Data management: Modeling, pipelines, SQL/NoSQL, data quality and governance at scale.
-Cloud: Hands-on in Azure, AWS, or GCP; cloud-native deployment patterns and CI/CD.
-HIPAA / PHI: Working knowledge of PHI handling in AI — BAA-covered model endpoints, no PHI in training data or logs, de-identification before prompt context.
Compensation: $90-95 hourly
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn’t checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.
-Experience: 7+ years of software/ML engineering, with recent hands-on AI/LLM work.
-Python: Advanced; production experience with APIs, async, and testing.
-AI / LLM agents: Designing and implementing autonomous or semi-autonomous agents (tool- using, planners, orchestrators).
-Agent frameworks: Hands-on with at least one (LangChain, LangGraph, LlamaIndex, Semantic Kernel, Google ADK).
-MCP: Agent communication, coordination, or protocol-driven AI architectures.
-Evaluation & guardrails: Prompt regression tests, hallucination and quality metrics, and guardrails for PII, jailbreaks, and unsafe outputs.
-ML lifecycle: ML pipelines, deployment, evaluation, monitoring; embedding models, vector DBs, and RAG.
-Data management: Modeling, pipelines, SQL/NoSQL, data quality and governance at scale.
-Cloud: Hands-on in Azure, AWS, or GCP; cloud-native deployment patterns and CI/CD.
-HIPAA / PHI: Working knowledge of PHI handling in AI — BAA-covered model endpoints, no PHI in training data or logs, de-identification before prompt context.
Compensation: $90-95 hourly
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn’t checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.
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