Senior Applied AI Engineer - Enterprise Agent Systems

DivIHN Integration Inc; Palo Alto (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

DivIHN is seeking an Applied AI Developer to join the Enterprise AI team in Palo Alto. You will evaluate where AI fits, build platforms for adoption, and enable teams to deploy modern AI development practices including LLM orchestration and governance.

The role emphasizes hands-on prototyping, evaluating emerging AI tech, and shipping solutions that measurably improve efficiency across our client’s engineering teams. 3-month engagement with W2 eligibility for qualified candidates.

Qualifications

• 5+ years of professional software engineering, with at least 2 years focused on applied AI in production systems.
• Proficient in Python and/or Go; comfortable reading and writing in the other.
• Proven experience building and scaling multi-agent or agent-driven systems in production.
• Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic).
• Strong systems and backend architecture fundamentals designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns.
• Good understanding of cloud-native environments (GCP and/or AWS) compute, storage, networking, and managed AI services.
• Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC).
• Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact.

Responsibilities

• Think AI-first assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale.
• Design agentic systems tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows.
• Define and implement AI governance patterns guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy.
• Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams.
• Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions.

Skills

AI development

Agent systems

Python

Go

LLM orchestration

Model governance

Observability tooling

Tools

LangGraph

Google ADK

Mastra

Claude Agent SDK

Langfuse

LangSmith

Braintrust

MCP

OpenAI

Anthropic

Job description

DivIHN is seeking an Applied AI Developer to join the Enterprise AI team in Palo Alto. You will evaluate where AI fits, build platforms for adoption, and enable teams to deploy modern AI development practices including LLM orchestration and governance.

The role emphasizes hands-on prototyping, evaluating emerging AI tech, and shipping solutions that measurably improve efficiency across our client’s engineering teams. 3-month engagement with W2 eligibility for qualified candidates.