Job DescriptionRole: AI Engineer - Agent Development
Location: Richardson, TX - Hybrid (Tuesday-Thursday onsite)
Duration: Through February 28, 2027, with possible extension
Schedule: Monday-Friday, 8:00 AM-5:00 PM
Employment: Contract, with potential FTE conversion
Candidates must be authorized to work in the U.S. without current or future sponsorship. No C2C or third-party applicants.Job Overview:We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI agents using Google Agent Development Kit (ADK) and modern agent frameworks. You will build multi-agent systems that integrate with enterprise data platforms, APIs, and business applications while taking solutions from prototype to reliable production.
Key Responsibilities - Design and develop AI agents and multi-agent workflows using Google ADK or comparable frameworks.
- Implement agent orchestration including tool use, function calling, sub-agent delegation, and state/session management.
- Integrate AI agents with enterprise data sources such as Snowflake, Salesforce, and internal APIs.
- Deploy and scale AI solutions on Google Cloud / Vertex AI.
- Evaluate and optimize agent performance, latency, reliability, and cost.
- Build testing, observability, guardrails, and safety controls for AI agents.
- Partner with data engineering and platform teams to ensure agents have access to reliable, governed data.
- Deliver AI capabilities that reduce manual effort and provide measurable business value.
Must-Have Qualifications: - 8+ years of software engineering experience, including recent hands-on experience in applied AI/agent development.
- 3+ years of AI engineering experience preferred within the overall software engineering background.
- Strong Python development skills.
- Hands-on experience building AI agents using Google ADK or comparable frameworks such as LangGraph, AutoGen, or CrewAI.
- Experience with LLM APIs such as Gemini, Claude, OpenAI, or similar.
- Strong understanding of agent architecture, including planning, tool orchestration, memory/state, and multi-agent coordination.
- Experience building and integrating REST APIs and backend services.
- Experience deploying applications on Google Cloud Platform, including familiarity with Vertex AI, Cloud Run, IAM, and Secrets Manager.
- Experience shipping AI features to production, beyond proof-of-concept or prototype development.
- Strong communication skills and ability to work independently in a fast-changing environment.
Preferred Qualifications: - Experience with Model Context Protocol (MCP) or similar agent-to-tool integration standards.
- Strong SQL skills, preferably with Snowflake.
- Experience with Snowflake Cortex / Cortex Analyst.
- Familiarity with Salesforce data models and object relationships.
- Experience with LLM/agent evaluation frameworks.
- Experience integrating AI agents with React/Next.js, Node.js, or NestJS applications.
- TypeScript/JavaScript experience.
What Success Looks Like: - Reliable and observable AI agents operating successfully in production.
- Clean integration between AI agents and enterprise data and systems.
- Reduced manual effort through effective, well-designed agent automation.
Ready to build the next generation of enterprise AI agents? Apply today to be considered for this opportunity!Meet Your RecruiterKhalid Vaani
About Richardson, TXDiscover exciting job opportunities in the vibrant city of Richardson, Texas! Richardson not only boasts a thriving job market but also offers a unique blend of cultural experiences, charming neighborhoods, and endless growth prospects for career-driven individuals. As the "Telecom Corridor," Richardson is home to major tech companies, art galleries like the Eisemann Center, delectable Tex-Mex cuisine, and close proximity to the Dallas Cowboys at AT&T Stadium. Explore our job listings today and be captivated by Richardson's allure and countless professional opportunities awaiting you. Dive into a career in Richardson, and watch your aspirations flourish in this dynamic and inviting city.
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