AI Developer (LLM/Agentic Systems)

Octans Group Llc

Stanford, United States of America

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Stanford, United States of America

Tech stack

API

Artificial Intelligence

Amazon Web Services (AWS)

Databases

Cursor (Graphical User Interface Elements)

Python

NoSQL

Software Engineering

SQL Databases

Google Cloud Platform

Large Language Models

Multi-Agent Systems

Kubernetes

GraphQL

Docker

Job description

We are seeking an Applied AI Developer to build and scale AI-powered platforms, focusing on LLM orchestration, agentic workflows, and model governance. You'll prototype, evaluate emerging AI tech, and deliver production-grade solutions across engineering teams., * Build AI-first systems with automated evaluations and simulations

Design agentic architectures (tools, memory, reasoning, human-in-loop)
Implement governance (guardrails, lineage, auditability)
Drive AI adoption from pilot to production
Collaborate with Product, Security, and Platform teams

Requirements

LLM orchestration & agentic workflows
Model governance & MCP integrations
Python and/or Go
Frameworks: LangGraph, Google ADK, Mastra, Claude Agent SDK
AI SDKs: OpenAI, Anthropic
Cloud: AWS or Google Cloud Platform
APIs: REST/GraphQL
Databases: SQL & NoSQL, * 5+ years in software engineering and 2+ years in production AI (must-have)
Experience building multi-agent/agent-driven systems
Strong system design (scalability, performance, cost optimization)

Nice to Have: