Overview:
Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.
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:
-
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.
-
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.
-
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.
