Senior AI Engineer – Agentic Systems, Data Pipelines

Collaboration.Ai

Senior AI Engineer developing agentic systems for AI capabilities at Collaboration.Ai. Focused on designing workflow and observing LLM quality with Python and modern tech stacks.

Posted 7/30/2026full-timeRemote • Minnesota • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in software engineering with a focus on AI/ML and data engineering, particularly in building and operating production systems for LLM applications. Proficient in modern Python stack and familiar with containerization and cloud technologies to enhance operational efficiency.

Highest-signal resume keywords

AI/ML Application ExperienceData Engineering for AI/ML WorkloadsProduction Retrieval with Vector DatabasesModern Python Stack ProficiencyDocker, Kubernetes, and AWS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringLLM OperationsProduction SystemsHybrid Search TechniquesDocument IngestionCustom Tool DevelopmentAgent Skills DevelopmentQuality EvaluationObservability Layer Building

Soft Skills

Team CollaborationPair Programming

Tools & Technologies

DockerKubernetesAWS

Industry Keywords

Production Agent SystemsLLM QualityRetrieval QualityHybrid SearchMCP Tools

Tech Stack

Tools & technologies

AWSDockerKubernetesPython

About the role

Key responsibilities & impact

Ship production agent systems — design, build, and operate.
Operationalize LLM quality — build eval and observability layer.
Engineer data pipelines — robust ingestion of documents.
Own retrieval quality — hybrid search combining various techniques.
Build custom MCP tools and Agent Skills for efficiency.
Execute alongside the team — pair with full-stack engineers.

Requirements

What you’ll need

7+ years of professional software engineering experience.
3+ years focused on AI/ML or data engineering.
Production agentic/LLM application experience.
Data engineering background for AI/ML workloads.
LLM operations experience for production systems.
Production retrieval experience with vector databases.
Modern Python stack proficiency.
Experience with Docker, Kubernetes, and AWS.
US citizenship required (DoD contracting).

Benefits

Comp & perks

Real AI engineering, not a wrapper shop.
Production agents, hybrid retrieval, continuous evals.
Autonomy to shape how it's built.
Defense, healthcare, and regulated industries.
Small, senior team with early-stage impact.