Sr. GenAI/ Agentic AI Engineer

Job Title

Sr. GenAI / Agentic AI Engineer

Location: Irving, TX (3 days Hybrid)
Duration: Full Time

About

We are seeking a highly skilled GenAI Engineer who combines deep expertise in Generative AI with strong hands‑on experience across the Software Development Lifecycle (SDLC) and a solid understanding of DevOps (pipelines & deployment) and microservices‑based architectures. This role is critical to ensuring that GenAI solutions are not only innovative but also production‑grade, scalable, and maintainable.

Responsibilities

• Hands‑on experience with Python, LangChain, and LangGraph.
• Ability to build RAG applications from scratch.
• Design, develop, and deploy GenAI‑powered applications using LLMs, embeddings, vector databases, and prompt engineering.
• Build Agentic AI systems capable of autonomous task execution, decision‑making, and multi‑step reasoning using frameworks like LangChain Agents, AutoGPT, or OpenAgents.
• Good understanding of all ML/AI models (Classification / Regression / Reinforcement / CNN).
• Implement test cases & test datasets to ensure correct accuracy for the models.
• Collaborate with cross‑functional teams to integrate GenAI features into microservices‑based enterprise systems.
• Ensure adherence to SDLC best practices including requirements gathering, design, development, testing, deployment, and maintenance.
• Good to Have: Implement and manage CI/CD pipelines, infrastructure‑as‑code, and automated testing frameworks.
• Maintain high standards of code quality, including code reviews, unit testing, and code coverage metrics.
• Work with API gateways, RESTful services, and secure API integrations.
• Monitor and optimize performance, reliability, and scalability of GenAI services in production.
• Collaborate with DevOps teams to ensure smooth deployment and versioning of AI models.
• Stay updated with the latest in GenAI, LLMs, and software engineering practices.

Required Skills & Qualifications

• Strong programming skills in Python (including LangChain, Transformers, OpenAI APIs, etc.).
• Solid understanding of software engineering principles and good to have design patterns.
• Experience with SDLC tools: JIRA, Git, Bitbucket/GitHub, Jenkins, SonarQube, etc.
• Good to Have: Working knowledge of DevOps tools: Docker, Kubernetes, CI/CD.
• Experience with microservices architecture, API design (Swagger/OpenAPI), and service orchestration.
• Familiarity with code quality tools and practices: unit testing (Pytest).
• Exposure to vector databases and RAG pipelines.
• Strong problem‑solving and debugging skills.

Soft Skills

• Strong communication and collaboration skills.
• Ability to work in agile, fast‑paced environments.
• Ownership mindset and a passion for building impactful solutions.

Mandatory Skills

• Prompt Engineering
• Retrieval‑Augmented Generation (RAG