Senior Data Scientist

Job Overview: Pay Range: $59.35hr - $77.03hr Requirement/Must Have: Bachelor's degree (or international equivalent) and 8+ years of relevant software engineering experience. 2-3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience. Strong software engineering background with experience designing and deploying production-grade cloud applications. Experience building front-end applications with React and TypeScript, and back-end services with Node.js or comparable application frameworks. Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations. Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks; including single-agent and multi-agent systems, tool-calling workflows, and human-in-the-loop controls. Experience evaluating and improving agent quality, including prompt engineering, test datasets, LLM-based evaluation, safety checks, and production feedback loops. Strong knowledge of LLMOps, CI/CD, containerization (Docker and Kubernetes), observability, and production operations for AI applications. Good understanding of RESTful API principles, asynchronous application patterns, secure integrations, relational databases, SQL, and data-access patterns; familiarity with SQL/NoSQL data stores and data engineering or ETL pipelines. Experience working in an enterprise environment with large-scale, secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring. Strong analytical, problem-solving, collaboration, and communication skills. Responsibilities: Build LLM-powered applications for text generation, summarization, Q&A, conversational AI, enterprise knowledge search, and multi-agent orchestration. Develop advanced RAG pipelines using embeddings, Azure AI Search vector and hybrid retrieval, document chunking, metadata filtering, reranking, citations, and grounding techniques with enterprise data. Build secure, reliable integrations between AI agents and enterprise tools, REST APIs, relational databases, and event-driven services. Develop and maintain user-facing AI application experiences using React and TypeScript, and supporting application services using Node.js or comparable back-end technologies. Design and implement single-agent and multi-agent systems for intelligent automation, decisioning, and complex workflows. Build autonomous and human-in-the-loop agents that plan, reason, act, and interact with tools, APIs, enterprise data, and event-driven systems. Develop agentic workflows using Microsoft Agent Framework, Azure AI Foundry services, or comparable modern orchestration frameworks. Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error-handling patterns. Define and automate evaluation approaches for agent quality, including groundedness, relevance, citation quality, safety, and regression testing. Instrument agent workflows for traces, tool calls, latency, token usage, errors, and operational metrics using OpenTelemetry, Application Insights, or comparable observability platforms. Build highly scalable, secure, containerized solutions with CI/CD, health checks, horizontal scaling, and production monitoring. Skills: Generative AI. Large Language Models (LLM). Retrieval-Augmented Generation (RAG). Microsoft Azure. Azure AI Search. React. TypeScript. Node.js. Microsoft Agent Framework. Azure AI Foundry. OpenTelemetry. Docker. Kubernetes. CI/CD. SQL. NoSQL. Qualification And Education: Bachelor's degree in a relevant field. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.