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# AI Engineer

- **Company:** ElevaIT Solutions LLC
- **Location:** Palo Alto, CA, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Cloud Engineering, Cursor, Python (Programming Language), NoSQL, OAuth, Role-Based Access Control, OpenAI, Security Assertion Markup Language (SAML), Software Engineering, SQL Databases, Systems Integration, Datadog, Cloud Platform System, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Build Management, AI Platforms, LangSmith, Data Lineage, Graphql, Claude, Artificial Intelligence Governance, Api Design, Restful APIs, Agent SDK, Human in the Loop, Docker, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_0291683497ea64b9e6bd344ef1741b49

## About the Role

* 4+ years of professional software engineering, including 1+ year building LLM-powered applications or agents
 * Strong Python skills
 * Hands-on experience building agentic workflows with tool calling and a leading LLM SDK such as OpenAI or Anthropic
 * Backend fundamentals, including REST or GraphQL APIs, authentication and authorization patterns (OAuth2, SAML, RBAC), and SQL/NoSQL databases
 * Working knowledge of a cloud platform (AWS or GCP), including compute, storage, and managed AI services

Preferred / Bonus

 * Go (Golang) experience
 * Production ownership of multi-agent systems at scale
 * Agent frameworks such as LangGraph, Google ADK, Mastra, or the Claude Agent SDK
 * Evaluation and observability tooling such as Langfuse, LangSmith, or Braintrust
 * Building custom MCP servers
 * Docker and Kubernetes
 * Inference cost optimization for scaling agent deployments
 * AI coding agents such as Claude Code, GitHub Copilot, Cursor, or Windsurf
 * RAG architectures, including vector databases, embedding models, chunking, and hybrid search

## Description

* Python development for LLM-powered applications and AI agents
 * Agentic AI systems, including tool orchestration, MCP integrations, and automated LLM evaluations
 * Cloud-native backend and API development (REST, GraphQL, OAuth2, RBAC)

What You'll Do

 * Assess where agentic approaches outperform conventional solutions for internal workflows
 * Design and build agentic systems covering tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop steps
 * Build automated evals, simulation tests, and regression frameworks to keep AI systems reliable as they scale
 * Implement AI guardrails, data lineage, auditability, and responsible AI practices
 * Prototype and evaluate emerging AI tools and technologies
 * Deliver pilots, proofs of concept, and scalable implementations across engineering teams
 * Integrate agents with enterprise APIs and SQL/NoSQL databases using role-based access controls
 * Partner with product, security, platform, and business teams to take AI use cases to production