Lead AI Engineer
OutSystems
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudDockerGRPCKubernetesPython
About the role
- Architecting, Guiding, and Scaling Enterprise AI Agents
- Define Agent Reference Architecture
- Evaluate and select the core Generative AI models, orchestration frameworks, and MLOps tools
- Lead architectural and code reviews for all agent components
- Oversee performance tuning of agents and implement robust logging, monitoring, and tracing mechanisms
- Mentor and guide the team of Senior AI Engineers and developers
- Collaborate closely with the Director of Solutions and Product Management
Requirements
- 8+ years of experience in software engineering
- Mastery of LLMs, advanced prompt engineering, RAG strategies, fine-tuning, and grounding techniques.
- Expert-level knowledge and practical experience leading teams utilizing major AI Agent orchestration frameworks (LangChain, Semantic Kernel, or deep internal frameworks).
- Expert-level coding skills in Python, coupled with extensive experience in cloud-native deployment, containerization (Docker/Kubernetes), and managing scalable APIs (REST/gRPC).
- Demonstrated ability to implement security best practices (e.g., authorization, data masking) and enforce Responsible AI governance and guardrails in production systems.
Benefits
- A company that is always growing, changing, and innovating.
- We care about growth and development.
- Work colleagues that are as smart, hard-working, and driven as you.
- Disrupting the status quo is in our DNA.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLMsprompt engineeringRAG strategiesfine-tuninggrounding techniquesPythoncloud-native deploymentcontainerizationDockerKubernetes
Soft skills
mentoringteam leadershipcollaboration