Senior AI Engineer @Accertify, Inc.
Artificial Intelligence
Salary usd 140,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today

[Hiring] Senior AI Engineer @Accertify, Inc.

Today - Accertify, Inc. is hiring a remote Senior AI Engineer. 💸 Salary: usd 140,000 - 180,000 per year 📍Location: USA

Role Description

We are seeking an experienced Senior AI Engineer to lead the design, development, and deployment of intelligent systems that drive business impact. You will own end-to-end AI solutions, set technical direction, and mentor other engineers, working across machine learning, LLMs, retrieval systems, agentic workflows, and the data layers that feed them. This role requires deep technical expertise and a track record of shipping production AI systems at scale.

  • AI Architecture: Architect AI systems end-to-end. Set technical direction. Review and mentor on others’ designs.
  • LLM Strategy: Define how we use LLMs, routing, agentic orchestration, prompt patterns, fine-tune vs. prompt trade-offs, model selection.
  • Production Ownership: Own deployment patterns across on-prem and cloud (Kubernetes, container infrastructure, secure integration). Drive operational excellence.
  • Data Architecture: Consult on the data layer, medallion design (bronze/silver/gold), RAG retrieval stores, schema evolution, drift detection, and query performance at scale.
  • Evaluation Framework: Define how we measure AI quality, golden datasets, judge-based eval, production observability (OpenTelemetry, Phoenix or similar), behavior testing.
  • Technical Leadership: Mentor AI Engineers, lead code and design reviews, set engineering standards for the AI team, and drive cross-team initiatives with Data Science and Data Engineering teams.
  • Security & PII: Set the bar for handling sensitive customer data, secure system design, authentication, PII safety, and compliance-aware patterns.
  • Collaboration: Partner with product managers, data scientists, engineers, and stakeholders to align AI solutions with business needs.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of production software experience.
  • Strong proficiency with AI/ML frameworks (OpenAI SDK, FastMCP, agentic orchestration frameworks).
  • Strong Python AND strong SQL; both are first-class requirements. Comfortable with query optimization, indexing strategy, and data modeling.
  • Demonstrated experience designing and operating medallion architectures (bronze/silver/gold) at scale.
  • Experience handling data at scale, partitioning, batch pipeline design, query performance, schema evolution.
  • Production LLM experience, prompt engineering, retrieval (RAG), agentic orchestration, fine-tuning trade-offs.
  • Experience with vector databases (pgvector, Pinecone, Weaviate, etc.) and production RAG patterns.
  • Experience with AI observability and evaluation frameworks, OpenTelemetry, Phoenix or equivalent, golden-set eval, judge-based eval methodology.
  • Strong understanding of secure system design, authentication, API integrations, and handling PII-sensitive data.
  • Track record of mentoring engineers and shipping cross-team initiatives.
  • Strong problem-solving skills and ability to explain technical solutions to non-technical audiences.

Preferred Skills

  • Hands-on experience with Model Context Protocol (MCP), building tools, OAuth flows, or MCP server integrations.
  • Experience leading data engineering or data platform initiatives end-to-end.
  • Experience with agentic AI frameworks (e.g., the OpenAI Agents SDK) in production.
  • Experience deploying production systems across both cloud (AWS, GCP, Azure) and on-prem environments.
  • Experience in fraud detection, financial services, or other PII-sensitive domains.
  • Knowledge of MLOps tools and CI/CD for AI.
  • Open-source contributions, conference talks, or technical writing in the AI/ML space.

Additional Details

  • Competitive base salary with performance-based incentives. Potential Salary Range: $140-180k.
  • This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from the Accertify HQ located 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

At Accertify, we offer more than just a paycheck—we invest in our people through competitive rewards, meaningful benefits, professional development opportunities, flexible ways of working, and programs that support your overall well-being. Join a team that values growth, collaboration, and innovation, and empowers you to make an impact and build a rewarding career.

Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior AI Engineer @Accertify, Inc.
Artificial Intelligence
Salary usd 140,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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