Sr AI Engineer

Brilliant®; St. Louis (MO); On-site; USD 160,000 - 240,000; Full time

Job summary

Brilliant® is seeking a Lead AI Engineer to guide a team in building cloud-native AI agents, scalable APIs, and microservices. You will drive architecture, implement MLOps, and lead production-grade AI systems across cloud environments.

The role requires strong leadership, hands-on expertise with LangChain/LangGraph, Kubernetes, Docker, and modern CI/CD practices, with onsite presence three days per week.

Qualifications

• Bachelor's degree or equivalent experience.
• 7+ years of software engineering delivering scalable systems.
• Experience in AI/ML including model integration and MLOps.
• Hands-on experience with agentic frameworks such as LangChain or LangGraph.
• Strong experience with a major cloud platform and its AI/ML services.
• 3+ years working with Kubernetes workloads.
• Familiarity with front-end frameworks such as Angular, React, or Vue.
• Experience with LLM observability tools (such as Langfuse).
• Cloud-native skills including Docker containerization
• Infrastructure as Code (Terraform or CloudFormation)
• CI/CD tools such as GitHub Actions, Argo CD, or Jenkins
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Firestore)

Responsibilities

• Design, build, and deploy advanced AI agents using frameworks such as LangChain and LangGraph.
• Develop and refine prompt engineering and context management frameworks.
• Research and integrate emerging AI models, RAG techniques, and agentic frameworks.
• Architect and operate production-scale AI systems in cloud environments.
• Establish MLOps best practices for reliability, monitoring, and observability (including Langfuse).
• Collaborate with product, data science, and engineering teams to deliver scalable solutions.
• Manage and mentor software, quality, and reliability engineers.
• Define and maintain engineering metrics including SLA, SLO, and SLI.
• Partner with product managers, architects, and SREs on strategy and roadmaps.
• Lead production troubleshooting and issue resolution.
• Participate in agile ceremonies such as Sprint Planning and Retrospectives.
• Maintain technical documentation, runbooks, and support guides.
• Deliver clear technical presentations to both technical and non-technical audiences.

Skills

LangChain/LangGraph

Cloud platforms

Kubernetes

CI/CD

Terraform/CloudFormation

Langfuse

Frontend frameworks

Team leadership

Education

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

Terraform

CloudFormation

GitHub Actions

Argo CD

Jenkins

PostgreSQL

MySQL

MongoDB

DynamoDB

Firestore

LangChain

LangGraph

Langfuse

Job description

A large enterprise organization is seeking a Lead AI Engineer to help drive a major technology transformation effort. You will guide a team in building cloud-native solutions, scalable APIs, microservices, and AI agents while leveraging modern development practices and AI-powered coding assistants. This role requires strong architectural expertise, cloud depth, and leadership skills. Onsite presence is required three days per week (Tuesday through Thursday). Immigration sponsorship is not available.

Key Responsibilities

• Design, build, and deploy advanced AI agents using frameworks such as LangChain and LangGraph
• Develop and refine prompt engineering and context management frameworks
• Research and integrate emerging AI models, RAG techniques, and agentic frameworks
• Architect and operate production-scale AI systems in cloud environments
• Establish MLOps best practices for reliability, monitoring, and observability (including Langfuse)
• Collaborate with product, data science, and engineering teams to deliver scalable solutions
• Manage and mentor software, quality, and reliability engineers
• Define and maintain engineering metrics including SLA, SLO, and SLI
• Partner with product managers, architects, and SREs on strategy and roadmaps
• Lead production troubleshooting and issue resolution
• Participate in agile ceremonies such as Sprint Planning and Retrospectives
• Maintain technical documentation, runbooks, and support guides
• Deliver clear technical presentations to both technical and non-technical audiences

Required Experience and Skills

• Bachelor's degree or equivalent experience
• 7+ years of software engineering experience delivering scalable systems
• Experience in AI or ML including model integration and MLOps
• Hands-on experience with agentic frameworks such as LangChain or LangGraph
• Strong experience with a major cloud platform and its AI/ML services
• 3+ years working with Kubernetes workloads
• Familiarity with front-end frameworks such as Angular, React, or Vue
• Experience with LLM observability tools (such as Langfuse)
• Cloud-native skills including:
• Docker containerization
• Infrastructure as Code (Terraform or CloudFormation)
• CI/CD tools such as GitHub Actions, Argo CD, or Jenkins
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, Firestore)

Preferred Qualifications

• Expertise in Generative AI and models such as Gemini, ChatGPT, Claude, or Llama
• Experience using AI-powered code assistants to accelerate development
• Background deploying AI agents into production environments
• Strong ability to solve complex and ambiguous technical challenges
• Clear communication skills and experience mentoring engineers
• Passion for applying advanced AI to real-world, large-scale problems