We are seeking a highly skilled
Senior AI / Agentic AI Engineer to design, develop, and deploy enterprise-grade AI and Agentic AI solutions in Irving, Texas. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI frameworks, cloud-native application development, and modern software engineering practices. You will play a key role in architecting scalable AI solutions, mentoring engineering teams, and driving AI innovation across enterprise applications.
Responsibilities
- Design, develop, and deploy enterprise-scale AI and Agentic AI applications.
- Architect and implement AI solutions using LLMs, RAG, Agentic RAG, prompt engineering, and context engineering techniques.
- Build intelligent multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Model Context Protocol (MCP).
- Develop scalable backend services and REST APIs using Python, TypeScript, NestJS, and Node.js.
- Design and implement cloud-native microservices leveraging AWS/Azure, Docker, Kubernetes, and CI/CD pipelines.
- Optimize AI application performance, reliability, scalability, observability, and security.
- Integrate vector databases and knowledge retrieval systems such as Pinecone, Weaviate, Supabase Vector, or similar platforms.
- Collaborate with product managers, architects, designers, and engineering teams to deliver innovative AI-powered solutions.
- Mentor engineers, conduct design and code reviews, and promote engineering best practices.
- Stay current with emerging AI technologies and recommend innovative approaches to improve products and engineering processes.
Requirements
Experience- 8+ years of software engineering experience.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
- Relevant AI, Cloud, or Kubernetes certifications are a plus.
- 3+ years of hands-on experience building production-grade Generative AI or AI-powered applications.
- 2+ years of experience designing and implementing Agentic AI solutions.
- Experience leading technical design, architecture, and mentoring engineering teams.
Technical Skills- Strong programming expertise in Python, TypeScript, Node.js, and NestJS.
- Experience with Java or Go is an added advantage.
- Strong understanding of Generative AI, LLMs, prompt engineering, RAG, Agentic RAG, and AI evaluation techniques.
- Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, MCP, and modern AI orchestration frameworks.
- Experience with vector databases such as Pinecone, Weaviate, Supabase Vector, ChromaDB, or similar technologies.
- Strong understanding of software architecture, distributed systems, REST APIs, and microservices.
- Experience with AWS and/or Azure, Docker, Kubernetes, Terraform/Ansible, and CI/CD pipelines.
- Familiarity with AI-assisted development tools such as Claude Code, Cursor, Devin, Windsurf, or Replit.
- Strong knowledge of software testing, application monitoring, performance optimization, and observability.
Preferred Skills- Experience building high-volume, enterprise-scale applications.
- Knowledge of secure AI deployments, AI governance, and responsible AI practices.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently while collaborating effectively across cross-functional teams.
- Passion for emerging AI technologies and continuous learning.
