AI/ML Engineer

AI / Machine Learning Engineer

Position Overview

We are seeking a high-impact AI/ML Engineer to build intelligent data products that transform complex, high-volume engineering information into trusted, actionable insights. This individual will work across applied machine learning, generative AI, data platforms, and cloud engineering to deliver production-ready solutions supporting search, traceability, analytics, and decision-making.

This role is ideal for an engineer who can move seamlessly from architecture and design to implementation and operational ownership, while solving ambiguous problems where data quality, scalability, and reliability are critical.

Key Responsibilities

AI, Machine Learning & Data Products

• Architect, build, and operate reliable data products that ingest and transform structured and unstructured data at enterprise scale.
• Develop production-grade Retrieval-Augmented Generation (RAG) systems that combine semantic search, structured data, and grounded responses for engineering use cases.
• Design and implement agentic AI workflows capable of:
  • Decomposing complex questions
  • Selecting appropriate data sources and tools
  • Validating results
  • Returning explainable answers with citations
• Develop and evaluate embedding models, document understanding solutions, and multimodal inference workflows while balancing quality, scalability, latency, and cost.
• Deliver analytics and decision-support tools that enable engineers, program teams, and leadership to make informed decisions.

Data Engineering & Platform Development

• Build scalable data pipelines and processing systems for large, evolving datasets.
• Create resilient orchestration patterns for batch and near real-time workloads.
• Develop restartable and checkpoint-enabled processing architectures that maintain data integrity during long-running or partially failed workloads.
• Establish data quality, lineage, validation, and governance standards.

Cloud & Software Engineering

• Lead cloud architecture initiatives, including containerization, infrastructure-as-code, and CI/CD deployment practices.
• Design secure, repeatable deployment processes across multiple environments.
• Implement observability, alerting, monitoring, and operational runbooks.
• Ensure system reliability through incident investigation, performance tuning, root-cause analysis, and capacity planning.

Required Skills

• Python
• SQL
• Artificial Intelligence / Machine Learning
• Expert Systems
• Google Cloud Platform (GCP)
• API Development & Integration
• Software Testing
• Data Analysis

Preferred Skills

• Data & Analytics Dashboards
• Data Collection & Data Acquisition
• Data Integrity
• Data Conversion
• Java

Required Experience

• 5+ years of experience building and operating production software, data, or machine learning systems.
• Strong proficiency in Python and SQL.
• Experience with cloud platforms, managed data services, object storage, containers, and distributed computing workloads.
• Experience designing and operating scalable data pipelines and distributed processing systems.
• Hands-on experience applying Large Language Models (LLMs) in production environments, including:
  • Prompt engineering
  • Structured outputs
  • Tool integration
  • Model evaluation
  • Production monitoring
• Deep understanding of:
  • Embeddings
  • Vector databases and retrieval
  • RAG architectures
  • LLM limitations and mitigation techniques
  • Answer quality and faithfulness optimization
• Experience with software engineering best practices, including:
  • Testing
  • Code reviews
  • Version control
  • CI/CD
  • Observability
  • Secure development
• Proven ability to troubleshoot complex production issues through experimentation, profiling, and root-cause analysis.
• Experience with workflow orchestration, batch processing, and job scheduling frameworks.

Preferred Experience

• Agentic AI frameworks and multi-step reasoning systems.
• Managed generative AI platforms and model-serving technologies.
• Batch inference and vector database platforms.
• Infrastructure-as-code and automated cloud deployments.
• Extracting information from technical documents, legacy formats, diagrams, and semi-structured content.
• Experience within automotive, manufacturing, systems engineering, safety-critical, or other highly regulated industries.
• Building internal analytics platforms or developer-facing tools that convert complex data into actionable insights.

Education

Required

• Bachelor's Degree

Preferred

• Relevant Certification Program(s)

Work Environment & Interview Process

Work Schedule

• Hybrid schedule: 4 days per week onsite

Interview Process

• 30-minute introductory call
• First-round panel interview (in-person preferred)
• Final-round interview (in-person preferred)

Ideal Candidate Profile

This role is best suited for an engineer with a strong foundation in software engineering and cloud development who has successfully built and deployed AI/ML solutions in production environments. The ideal candidate combines technical depth in LLMs, RAG, and data engineering with a practical mindset focused on reliability, scalability, and business impact.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

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