Role overview
Job Role - Generative AI Engineer
Location - Richardson, TX (Onsite - Hybrid)
Job Type - Open for both contract/ Full Time
Job Description:
As a Generative AI Engineer, you’ll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You’ll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.
What we're looking for
• Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks.
• Integrate GenAI models into full-stack applications and internal workflows.
• Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs.
• Build reusable components and services for multi-agent orchestration and task automation.
• Optimize AI inference pipelines for scalability, latency, and cost efficiency.
• Participate in architectural discussions, contributing to the pod’s technical roadmap.
Core Skills & Experience
• 4–8 years of software engineering experience with at least 1–2 years in AI/ML or GenAI systems in production
• Hands-on experience with Python only for AI/ML model integration.
• Experience with LLM frameworks (LangChain, LlamaIndex is a must
• Exposure to agentic frameworks (Langgraph, AutoGen, CrewAI is a must
• Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
Nice-to-Have
• Familiarity with Google Cloud Platform (GCP) — especially Vertex AI, Cloud Run, and GKE.
• Experience building AI APIs, embeddings, vector search, and integrating them into applications.
• Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
• Exposure to multi-modal AI systems (text, image, or voice).
Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.
Thanks
Rakesh Pathak | Senior Technical Recruiter
Phone: 609-360-2642
Rakesh.pathak@ampstek.com| www.ampstek.com
https://www.linkedin.com/in/rakesh-kumar-pathak-00b039167/