Senior Data Scientist / AI Engineer (Contract-to-Hire | Remote)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Bayforce, is seeking the following. Apply via Dice today! Senior Data Scientist / AI Engineer (Contract-to-Hire | Remote) Duration: 1-year contract-to-hire Location: Remote If you’ve been building GenAI agents beyond demos—shipping them into production with real tool access, guardrails, and monitoring—this role is for you. We’re looking for a Senior Data Scientist / AI Engineer to build production-grade GenAI agents, MCP integrations, and enterprise knowledge/retrieval systems using a modern cloud and data stack. What you’ll work on • Build and refine GenAI agents that safely interact with internal systems and workflows • Develop MCP tools and secure tool integrations (auth, permissions, auditing) • Create and maintain knowledge bases, vector search, and retrieval pipelines (RAG) • Implement agent eval frameworks, guardrails, and safety layers at scale • Partner across Azure, Snowflake, and Databricks to support production AI systems What we’re looking for • 5+ years overall experience as a Data Scientist / AI Engineer • Proven experience building and deploying GenAI agents in production (including open-source LLM agents) • Strong knowledge of MCP, tool integrations, and agent orchestration • Experience with RAG/knowledge systems: vector search, retrieval, embeddings, and KB design • Comfortable with rapid prototyping (“vibe coding”) without sacrificing production quality • Cloud experience: Azure preferred (AWS acceptable) • Strong SQL and hands-on Snowflake experience • Databricks experience for data/ML workflows • Solid traditional ML foundation (classification, clustering, etc.) • Experience building evals, guardrails, and LLM safety controls • Familiarity with MLOps and LLM observability (tracing, cost/latency monitoring, drift, quality metrics) Why this is interesting You’ll be building the “real” version of GenAI—agents that can take action, backed by trustworthy retrieval, measurable quality, and enterprise-grade security. Interested? Apply with your resume and include a quick note on: • A production agent you shipped (tools + architecture), and • Your experience with MCP, RAG, and eval/guardrails.