Gen AI Engineer AIENGG 25-34672

Job Title: Generative AI Engineer (Agentic Systems)

Location:Richardson TX
Experience Level: Senior (8 years total; 23 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.

Youll collaborate with Silicon Valleycaliber 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 23 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

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.