Job Description

Job Title: Generative AI Engineer (Agentic Systems)

Location: Richardson, TX

Experience Level: Senior (8+ years total; 2–3+ years GenAI/AI in production)

About the Opportunity

Join a high-growth AI organization operating at the frontier of software development and AI research . This team is accelerating advances in reasoning, coding, multimodal AI, and STEM-focused intelligence , while delivering enterprise-grade AI systems that move beyond prototypes into real-world, revenue-generating deployments.

You’ll collaborate with Silicon Valley–caliber engineers and researchers , backed by $100M+ in recent funding , building agentic AI solutions that power mission-critical workflows for global enterprises.

Role Overview

As a Generative AI Engineer , you will be a core contributor within a cross-functional pod, partnering closely with Tech Leads and Full Stack Engineers . Your focus will be on designing, building, and deploying agentic AI systems using state-of-the-art LLMs and GenAI frameworks, transforming advanced AI capabilities into scalable, production-ready enterprise solutions .

Key Responsibilities

• Design, develop, and deploy agentic AI systems leveraging large language models and modern GenAI frameworks
• Integrate GenAI capabilities into full-stack applications and internal enterprise workflows
• Collaborate on prompt engineering , model fine-tuning, and systematic evaluation of generative outputs
• Build reusable services and components for multi-agent orchestration and intelligent task automation
• Optimize AI inference pipelines for scalability, latency, reliability, and cost efficiency
• Contribute to architectural discussions and help shape the technical roadmap for the AI pod
• Ensure best practices for production-grade GenAI deployment , monitoring, and lifecycle management

Core Skills & Experience

Must-Have Qualifications

• 8+ years of software engineering experience, including 2–3+ years working with AI/ML or Generative AI systems in production
• Strong hands-on experience with Python (required) for AI/ML model integration and orchestration
• Practical experience with LLM frameworks such as LangChain and LlamaIndex (required)
• Hands-on exposure to agentic AI frameworks including LangGraph and/or Google ADK (required)
• Solid understanding of Git, CI/CD pipelines, DevOps , and production deployment practices
• Experience working with Google Cloud Platform (GCP) , including tools such as Vertex AI, Cloud Run, and GKE

Good-to-Have Skills

• Experience building AI-powered APIs , embeddings, and vector search integrations
• Exposure to fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or working with OpenAI APIs
• Experience with multimodal AI systems (text, image, or voice)
• Familiarity with low-code / no-code platforms (e.g., AppSheet) for workflow automation

Why This Role

• Build real-world agentic AI systems , not experimental demos
• Work on enterprise-scale GenAI deployments with measurable business impact
• Collaborate with top-tier engineers and AI practitioners
• Influence architecture and technical direction in a fast-growing, well-funded AI environment
• Competitive compensation aligned with senior GenAI expertise

For more details reach at resumes@navitassols.com.

About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront. 

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