Enterprise AI Developer: Agentic Systems & Governance

Tek Ninjas; Palo Alto (CA); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

TekNinjas is seeking an AI Developer to join our Enterprise AI team in Palo Alto. You will evaluate where AI fits, build practical tools and platforms, and enable teams to adopt modern AI development patterns including LLM orchestration and model governance.

You will prototype, evaluate emerging AI technologies, and ship scalable solutions that improve organizational efficiency while maintaining safety and compliance in production environments.

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 real-world operational ownership, not just simple LLM workflows.
• 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). Comfortable working with backend databases (SQL and NoSQL) writing queries, understanding data models, and building data access layers that enforce role-based access control.
• 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.

Responsabilités

• 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.

Connaissances

Python

Go

Distributed systems

Multi-agent systems

REST/GraphQL

Cloud (GCP/AWS)

RBAC

Communication

Outils

LangGraph

Claude Agent SDK

Langfuse

LangSmith

Braintrust

OpenAI

Anthropic

Docker

Kubernetes

MCP

Description du poste

TekNinjas is seeking an AI Developer to join our Enterprise AI team in Palo Alto. You will evaluate where AI fits, build practical tools and platforms, and enable teams to adopt modern AI development patterns including LLM orchestration and model governance.

You will prototype, evaluate emerging AI technologies, and ship scalable solutions that improve organizational efficiency while maintaining safety and compliance in production environments.