AI Systems Architect — End-to-End Enterprise Agents

Harnham; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Harnham in the United States is seeking an experienced software engineer to architect AI agents and the intelligence layer of a scalable platform, influencing model selection, retrieval, and evaluation strategies. You will own end-to-end AI components, including RAG pipelines, vector stores, knowledge graphs, and production-grade prompts, with emphasis on reliability and observability.

Join a fast-growing startup solving enterprise-grade data challenges, shipping features directly to customers,

Qualifications

• 4-6+ years of software engineering experience with meaningful AI/ML depth.
• Proven experience building and shipping AI agents or coding agents in production.
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs.
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production.
• Familiarity with AWS and Kubernetes for production AI deployment.
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus.
• Scale or Go experience is a bonus.

Responsibilities

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality.
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data.
• Build the AI layer behind the platform's core code generation capability, from prompt design and model selection through to fine-tuning and output validation.
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system.
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop.

Skills

Python

AI/ML depth

Agent development

LLM integration

Production systems

Prompt engineering

Tools

Databricks

Snowflake

BigQuery

Spark

AWS

Kubernetes

Vector databases

Job description

Harnham in the United States is seeking an experienced software engineer to architect AI agents and the intelligence layer of a scalable platform, influencing model selection, retrieval, and evaluation strategies. You will own end-to-end AI components, including RAG pipelines, vector stores, knowledge graphs, and production-grade prompts, with emphasis on reliability and observability.

Join a fast-growing startup solving enterprise-grade data challenges, shipping features directly to customers,