VetJobs
AI Engineer – St. Louis, MO (Equifax)
Attention Military Affiliated Job Seekers Our organization partners with companies to source qualified talent for their open roles. This position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.
Overview Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting‑edge, cloud‑native solutions for a large enterprise. You will be at the forefront of modern development, employing advanced coding concepts with AI‑powered assistants like GitHub Copilot and Gemini, accelerating innovation and building highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms. This role requires deep expertise across front‑end and back‑end technologies, cloud infrastructure, containerization, microservices architecture, and the agentic AI framework.
Responsibilities
Design, build, and deploy complex AI agents using LangChain and LangGraph to automate decision‑making within the claims lifecycle.
Design, test, and refine complex prompts and contextual data frameworks to maximize AI agent accuracy, efficiency, and reliability.
Identify, prototype, and integrate foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
Engineer and operate AI systems in a scalable, reliable production environment on Google Cloud Platform.
Establish and lead best practices for MLOps, versioning, monitoring, and observability of AI agents using tools like Langfuse.
Partner with product leaders, data scientists, and other engineers to translate business needs into technical solutions.
Champion modern software development practices by using AI code‑assist tools (e.g., Gemini, GitHub Copilot, Claude) to accelerate development cycles and improve code quality.
Build, manage, and mentor a cross‑functional team of software, quality, and reliability engineers.
Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations best practices.
Collaborate with product managers, architects, SREs, and business partners to define technical strategy, create software roadmaps, and make architectural decisions.
Lead troubleshooting efforts to resolve production and customer issues.
Participate and lead agile team activities, including sprint planning and retrospectives.
Drive up‑to‑date technical documentation, including support and run‑book content.
Create and deliver technical presentations to internal and external stakeholders.
Qualifications
Bachelor’s degree or equivalent experience.
7+ years in software engineering with a strong track record of technical leadership and shipping complex, scalable systems.
Experience in a dedicated AI/ML role, with hands‑on experience in model integration, MLOps, and applying AI to solve business problems.
Direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.
In‑depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).
3+ years of proven experience leveraging Kubernetes workloads.
Proficiency in Python, JavaScript/TypeScript, and/or Java; knowledge of a modern front‑end framework (Angular, React, or Vue).
Hands‑on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows.
Cloud‑native proficiency: extensive experience with at least one major cloud provider (AWS, GCP, Azure); mastery of Docker and Kubernetes; proficiency with Terraform or CloudFormation; experience with CI/CD tools (GitHub Actions, Argo CD, Jenkins).
Strong experience with both SQL (Spanner, Aurora, PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases.
What Could Set You Apart
Strong expertise in Generative AI, including hands‑on experience with models like Gemini, ChatGPT, Claude, or Llama.
Proficiency in leveraging modern development tools, including AI‑powered code assistants, to accelerate the development lifecycle.
Experience creating and deploying AI agents to production environments.
History of tackling complex technical challenges and architecting elegant solutions.
Passion for the potential of AI while grounded in practical realities of building reliable, production‑ready software.
Team‑oriented mindset, capable of mentoring others and communicating complex ideas clearly.
Motivation to apply cutting‑edge technology to solve meaningful, large‑scale problems.
Additional Details Minimum Education: Bachelor’s degree.
Auto Req ID: 461652BR
Job Category: Administrative and Support Services
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Office Location: St. Louis, Missouri (requires in‑office 3 days per week, Tuesday‑Thursday).
This position does not offer immigration sponsorship (current or future).
#J-18808-Ljbffr
Attention Military Affiliated Job Seekers Our organization partners with companies to source qualified talent for their open roles. This position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.
Overview Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting‑edge, cloud‑native solutions for a large enterprise. You will be at the forefront of modern development, employing advanced coding concepts with AI‑powered assistants like GitHub Copilot and Gemini, accelerating innovation and building highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms. This role requires deep expertise across front‑end and back‑end technologies, cloud infrastructure, containerization, microservices architecture, and the agentic AI framework.
Responsibilities
Design, build, and deploy complex AI agents using LangChain and LangGraph to automate decision‑making within the claims lifecycle.
Design, test, and refine complex prompts and contextual data frameworks to maximize AI agent accuracy, efficiency, and reliability.
Identify, prototype, and integrate foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
Engineer and operate AI systems in a scalable, reliable production environment on Google Cloud Platform.
Establish and lead best practices for MLOps, versioning, monitoring, and observability of AI agents using tools like Langfuse.
Partner with product leaders, data scientists, and other engineers to translate business needs into technical solutions.
Champion modern software development practices by using AI code‑assist tools (e.g., Gemini, GitHub Copilot, Claude) to accelerate development cycles and improve code quality.
Build, manage, and mentor a cross‑functional team of software, quality, and reliability engineers.
Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations best practices.
Collaborate with product managers, architects, SREs, and business partners to define technical strategy, create software roadmaps, and make architectural decisions.
Lead troubleshooting efforts to resolve production and customer issues.
Participate and lead agile team activities, including sprint planning and retrospectives.
Drive up‑to‑date technical documentation, including support and run‑book content.
Create and deliver technical presentations to internal and external stakeholders.
Qualifications
Bachelor’s degree or equivalent experience.
7+ years in software engineering with a strong track record of technical leadership and shipping complex, scalable systems.
Experience in a dedicated AI/ML role, with hands‑on experience in model integration, MLOps, and applying AI to solve business problems.
Direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.
In‑depth experience with Google Cloud Platform (GCP), specifically its AI/ML services (Vertex AI, etc.).
3+ years of proven experience leveraging Kubernetes workloads.
Proficiency in Python, JavaScript/TypeScript, and/or Java; knowledge of a modern front‑end framework (Angular, React, or Vue).
Hands‑on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows.
Cloud‑native proficiency: extensive experience with at least one major cloud provider (AWS, GCP, Azure); mastery of Docker and Kubernetes; proficiency with Terraform or CloudFormation; experience with CI/CD tools (GitHub Actions, Argo CD, Jenkins).
Strong experience with both SQL (Spanner, Aurora, PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases.
What Could Set You Apart
Strong expertise in Generative AI, including hands‑on experience with models like Gemini, ChatGPT, Claude, or Llama.
Proficiency in leveraging modern development tools, including AI‑powered code assistants, to accelerate the development lifecycle.
Experience creating and deploying AI agents to production environments.
History of tackling complex technical challenges and architecting elegant solutions.
Passion for the potential of AI while grounded in practical realities of building reliable, production‑ready software.
Team‑oriented mindset, capable of mentoring others and communicating complex ideas clearly.
Motivation to apply cutting‑edge technology to solve meaningful, large‑scale problems.
Additional Details Minimum Education: Bachelor’s degree.
Auto Req ID: 461652BR
Job Category: Administrative and Support Services
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Office Location: St. Louis, Missouri (requires in‑office 3 days per week, Tuesday‑Thursday).
This position does not offer immigration sponsorship (current or future).
#J-18808-Ljbffr