Applied AI developer

Hybrid in Palo Alto, CA, US • Posted 3 hours ago • Updated 2 hours ago
Contract W2
Hybrid
Depends on Experience
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Job Details

Skills

  • Artificial Intelligence (AI)

Summary

Applied AI Developer
Engineering (Enterprise AI Team)
Location: Hybrid (Palo Alto, CA) 3 days onsite, 2 days remote.
Role Type: Contract (W2)

About Our Client
Our client is a fast-growing, publicly traded technology company operating in the cybersecurity and data management space. They provide a modern platform focused on protecting, managing, and securing data across cloud, hybrid, and on-prem environments. Their solutions help enterprise organizations defend against cyber threats, ensure compliance, and recover quickly from incidents like ransomware attacks. With a strong global presence and a customer base that includes major enterprise organizations across multiple industries, they are known for innovation, automation, and building cutting-edge, AI-driven solutions that improve operational efficiency.

Job Description
We are seeking an Applied AI Developer to join a high-impact Enterprise AI team focused on building and scaling AI-driven solutions across the organization. This role sits at the intersection of software engineering, applied AI, and distributed systems, where you will help identify real-world use cases for AI and deliver production-ready solutions that drive measurable business impact.

In this role, you will stay hands-on—designing, prototyping, and deploying modern AI systems including LLM orchestration, agent-based workflows, and evaluation frameworks. You will collaborate closely with engineering, product, security, and operations teams to translate AI opportunities into scalable, end-to-end systems. This is an opportunity to work on cutting-edge technologies while helping shape how AI is adopted across a large enterprise environment.

Duties and Responsibilities
  • Design and build production-grade AI systems, including multi-agent and agentic workflows
  • Evaluate and implement modern AI frameworks, tools, and orchestration patterns
  • Develop evaluation, testing, and monitoring frameworks for AI system performance
  • Build scalable backend systems to support AI-driven applications
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions
  • Define and implement AI governance practices, including guardrails and data lineage
  • Drive AI adoption through pilots, proof-of-concepts, and production deployments
  • Integrate AI systems with enterprise APIs, databases, and cloud infrastructure
  • Optimize performance, reliability, and cost of AI systems at scale

Required Experience / Skills
  • 5+ years of professional software engineering experience
  • 2+ years of hands-on experience building applied AI systems in production environments
  • Strong proficiency in Python and/or Go (comfortable with both)
  • Experience building and scaling LLM-based or agent-driven systems (not just simple API usage)
  • Hands-on experience with modern AI ecosystems (e.g., LangGraph, agent frameworks, LLM SDKs)
  • Strong backend engineering and system design fundamentals
  • Experience with cloud platforms (AWS and/or GCP)
  • Experience working with APIs (REST, GraphQL) and authentication models (OAuth2, RBAC, etc.)
  • Experience working with SQL and/or NoSQL databases
  • Strong communication skills and ability to work cross-functionally

Nice-to-Haves
  • Experience with AI evaluation and observability tools (LangSmith, Langfuse, Braintrust, etc.)
  • Experience building or integrating MCP (Model Context Protocol) systems
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience with RAG architectures and vector databases
  • Experience optimizing inference cost and scaling AI systems
  • Experience using AI-assisted development tools (Copilot, Cursor, etc.)

Education
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Pay & Benefits Summary
  • Pay Rate: $75.00/hr (W2)

Call to Action
Apply now to be part of a team building next-generation AI systems that are transforming how enterprises operate.

Applied AI | LLM | Agentic Systems | LangGraph | RAG | Python | Go | Cloud Engineering | AI Developer
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10529568
  • Position Id: 38099
  • Posted 3 hours ago

Company Info

About Catapult Solutions Group

At Catapult Solutions Group, our mission is to help organizations thrive by enabling their teams to find "A hire standard" of talent and technology services.

Businesses succeed when they find the right people, information, and tools they need to accomplish meaningful work.

From Fortune 500 companies to startups, thousands of companies use Catapult to hit their business targets more efficiently with technology strategy, talent strategy, talent sourcing, and agile project delivery so that they can focus on the things that matter.

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