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AI Engineer (Agentic AI) - Hybrid/Remote- 6 months
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$114,138 / year median in Pennsylvania
Job Description
AI Engineer (Agentic AI) - Hybrid/Remote- 6 months Hybrid in Exton, PA, US
• Posted 1 day ago
• Updated 20 hours ago Contract W2 Contract Independent Contract Corp To Corp 6 Months No Travel Required Remote Depends on Experience Palni Inc Fitment Dice Job Match Score™ 🔢 Crunching numbers... Job Details Skills AI/ML Agent Engineering Production Python Agentic AI Multi-Agent Systems RAG LangGraph LangChain DSPy FastAPI PostgreSQL pgvector ChromaDB Prompt Engineering Context Engineering Tool Calling AI Evaluation Regression Testing CI/CD Deterministic Guardrails Human-in-the-Loop Model Routing Claude Claude Code MCP Servers Healthcare AI CPT Medical Necessity Medicare Payer Provider PHI Healthcare Compliance. AI/ML Agent Engineering Production Python Agentic AI Multi-Agent Systems RAG LangGraph LangChain DSPy FastAPI PostgreSQL pgvector ChromaDB Prompt Engineering Context Engineering Tool Calling AI Evaluation Regression Testing CI/CD Deterministic Guardrails Human-in-the-Loop Model Routing Claude Claude Code MCP Servers Healthcare AI CPT Medical Necessity Medicare Payer Provider PHI Healthcare Compliance. Summary AI Engineer (Agentic AI)
Location:
Exton, PA (HQ)
•
Work Mode:
Hybrid and Open to Remote for senior candidates
Type:
6 Months Job Summary We are looking for AI Engineer (Agentic AI) to build and deploy production-grade AI agents for healthcare decision workflows. The ideal candidate will have strong production Python experience, hands-on expertise with agentic AI and RAG systems, and the ability to work directly with healthcare stakeholders. This role is focused on building, evaluating, and deploying AI systems that operate reliably in real-world environments. Key Responsibilities Design and build multi-agent workflows, agent graphs, and orchestration systems for healthcare use cases. Develop production RAG pipelines over clinical, regulatory, and structured data sources. Build evaluation frameworks, regression suites, and quality gates for AI systems. Implement deterministic guardrails, human-in-the-loop workflows, and failure-handling mechanisms. Develop production services using Python, FastAPI, PostgreSQL, and vector databases. Work with clinical reviewers, medical directors, payer teams, and customer engineering teams to improve AI outcomes. Own the end-to-end delivery of AI solutions from development through production. Use Claude and other AI coding tools effectively across development, testing, and documentation. Required Skills Hands on experience in production software engineering experience. Hands on experience in building and deploying LLM or ML systems in production. Strong Python development experience. Hands-on experience with agentic AI, multi-agent systems, or production orchestration frameworks. Strong experience with RAG, retrieval evaluation, reranking, and citation traceability. Experience building AI evaluation frameworks and quality gates. Experience with FastAPI, async Python, PostgreSQL, and vector databases such as pgvector or ChromaDB. Strong understanding of prompt engineering, structured outputs, tool calling, and context management. Strong communication and customer-facing skills. Nice-to-Have Skills LangGraph, LangChain, DSPy, or Temporal. Fine-tuning, LoRA, distillation, or preference optimization. Open-weight inference using vLLM, Ollama, or llama.cpp. Vision-language models and document extraction. MCP server development or Claude Skills.
FHIR, X12 278, NCPDP
SCRIPT, or healthcare interoperability experience. Azure Government, AWS GovCloud, sovereign, or air-gapped deployments. Anthropic Claude API or Claude Code experience at production scale. Healthcare domain knowledge is preferred : CPT, ICD-10, HCPCS, NCD/LCD, medical necessity criteria, and PHI handling. 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:
10202573
Position Id:
9075504 Posted 1 day ago Company Info About Palni Inc At Palni, our ambition is matched only by our authenticity. We rely on teamwork to achieve our goals, with a laser focus on surpassing our customers' expectations. Through collaborative efforts, we ignite innovation and drive growth, crafting solutions that elevate experiences and streamline efficiencies.