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Job Title: Sr. GenAI/ Agentic AI Engineer
Work Location:
Irving, TX
Job Summary:
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) having strong 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.
Key Responsibilities:
Benefits and Perks:
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree s applicable processes.
Job Title: Sr. GenAI/ Agentic AI Engineer
Work Location:
Irving, TX
Job Summary:
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) having strong 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.
Key Responsibilities:
- 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.
- Should have good understanding of all ML/AI models (Classification/ Regression/ Reinforcement/ CNN).
- Should have implemented Test cases & Test datasets for ensuring 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.
- 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 in 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.
- Strong communication and collaboration skills.
- Ability to work in agile, fast-paced environments.
- Ownership mindset and a passion for building impactful solutions.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree s applicable processes.