Remote Senior AI Engineer: Agentic Systems & Data Pipelines

Collaboration.Ai, Inc.; Minneapolis (MN); On-site; USD 140,000 - 200,000; Full time

Job summary

Collaboration.Ai, Inc. is seeking an experienced software engineer to build the agentic systems and data pipelines behind NetworkOS's AI capabilities.

You will implement production agent workflows, integrate with MCP servers and Agent Skills standards, and contribute to the evals and observability layer for measurable quality. You’ll ship code weekly, push agents as product capabilities, and help shape a roadmap that deepens graph + agents across defense, healthcare, and regulated industries.

Qualifications

• 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering.
• Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows
• Data engineering background — robust, scalable pipelines for AI/ML workloads
• LLM operations experience — evals and observability for production LLM systems (quality, cost, latency)
• Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch)
• Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management
• AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development
• Experience with Docker, Kubernetes, and AWS
• US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance)

Responsibilities

• Ship production agent systems—design, build, and operate agentic workflows powering AI-driven matching, analysis, and data intelligence
• Operationalize LLM quality—build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking
• Engineer data pipelines—robust ingestion of documents, structured data, and external sources into searchable knowledge bases
• Own retrieval quality—hybrid search combining vector, keyword, and metadata retrieval with reranking
• Accelerate with AI—build custom MCP tools and Agent Skills to speed the engineering team
• Execute alongside the team—pair with full-stack engineers on AI integration points, participate in incident response, write code

Skills

Software engineering

AI/ML

Data engineering

LLM operations

Retrieval systems

Python

FastAPI

Docker

Kubernetes

AWS

US citizenship

Tools

Langfuse

OpenSearch

Elasticsearch

PostgreSQL

Amazon S3

Kafka

Kinesis

Docker

Kubernetes

AWS

Job description

Collaboration.Ai, Inc. is seeking an experienced software engineer to build the agentic systems and data pipelines behind NetworkOS's AI capabilities.

You will implement production agent workflows, integrate with MCP servers and Agent Skills standards, and contribute to the evals and observability layer for measurable quality. You’ll ship code weekly, push agents as product capabilities, and help shape a roadmap that deepens graph + agents across defense, healthcare, and regulated industries.