AI Workflow Engineer

Location

United States

Posted

9 hours ago

Salary

$115K - $120K / year

Seniority

Mid Level

No structured requirement data.

Job Description

AI Workflow Engineer

Accertify, Inc.

Role Description We're looking for a Workflow Engineer who turns AI capabilities into production-grade agent workflows that automate real business processes. You'll design and ship LLM-powered flows, from RAG pipelines and MCP tools to multi-step agentic automations, and integrate them safely with our apps, data, and APIs. You'll work closely with product, platform, and security to deliver fast, reliable, and cost-efficient AI outcomes. Essential Duties & Responsibilities: - Build agentic systems - Design and implement agent workflows using tools like LangGraph, CrewAI, n8n (or similar) - Create task decomposition, tool-use policies, guardrails, and evaluation loops - Implement Retrieval-Augmented Generation (RAG) - Stand up vector search and retrieval pipelines; select embedding strategies - Optimize context packing, grounding quality, and hallucination mitigation - Develop MCP tools & integrations - Build Model Context Protocol (MCP) servers and custom tools to safely connect to APIs, databases, and internal systems - Establish capabilities, permissions, and auditing for tool use - Ship production-ready AI services - Build FastAPI/Node services that expose AI workflows behind secure APIs - Own CI/CD for workflow services; write tests, contract checks, and evals - Instrument workflows with latency, cost, accuracy, and safety metrics - Run prompt/eval experiments; iterate on prompts, memory, and grounding - Work with product & ops to prioritize use cases - Collaborate with Platform/DevOps to deploy and scale reliably in Kubernetes Qualifications - Strong coding in Python and/or Node; clean API design - Hands-on with LLM integration (prompting, tool use, function calling) - Experience building RAG systems and working with vector databases - Practical familiarity with LangGraph/CrewAI/n8n or similar orchestration - Experience building MCP tools/servers or equivalent agent-tool frameworks - Solid understanding of REST/GraphQL, auth (OAuth/OIDC), and secure integration - Containers, Git, CI/CD basics; comfort shipping production services Preferred Qualifications - Evals & guardrails (e.g., structured output, JSON schemas, toxicity/PII checks) - Knowledge graphs / event-driven architectures/workflow engines - Model selection & optimization; prompt caching; cost/perf tuning - Exposure to LLM safety, privacy, governance, and enterprise compliance Additional Details - Potential Salary Range: $115,000 to $120,000. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. - This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from Accertify's HQ in Itasca, IL. - Visa Sponsorship: Employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position. Benefits - Comprehensive benefits package, including medical, dental, and vision coverage - Paid time off - Wellness programs - Participation in retirement programs, including a 401(k) plan with company matching contributions, subject to plan terms and eligibility requirements

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