What are the responsibilities and job description for the AI Workflow Engineer position at Accertify, Inc.?
Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud. The company's Predictive Yes Platform helps businesses say yes to more - more good customers, more revenue, and more growth - without getting burned. It's a precise, confident, data-backed yes, made possible by joining signals across the entire customer lifecycle through unmatched data volume, layered AI-powered models, and a consortium approach that protects clients from bad actors spotted anywhere in the network while unlocking business with good actors verified anywhere in the network. With more than 10 billion transactions and over $1 trillion in commerce processed in 2025 alone, Accertify delivers the intelligence and precision that fraud and payments teams need to say yes confidently and enable growth. That's the More Yes difference.
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
Employees are eligible for Accertify’s comprehensive benefits package, including medical, dental, and vision coverage; paid time off; and wellness programs. Employees may also participate in retirement programs, including a 401(k) plan with company matching contributions, subject to plan terms and eligibility requirements.
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
- Stand up vector search and retrieval pipelines; select embedding strategies
- Optimize context packing, grounding quality, and hallucination mitigation
- 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
- 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
- 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.
- 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
- 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.
Employees are eligible for Accertify’s comprehensive benefits package, including medical, dental, and vision coverage; paid time off; and wellness programs. Employees may also participate in retirement programs, including a 401(k) plan with company matching contributions, subject to plan terms and eligibility requirements.
Salary : $115,000 - $120,000