Title: Senior Generative AI Engineer
Location: Texas (Remote/Hybrid)
Experience: 10+ Years
Visa: H1B, GC
Job Description:
We are looking for a highly skilled Senior Generative AI Engineer with 10+ years of overall IT experience to join our team in Texas. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), and enterprise AI solution development. You will play a key role in designing and implementing scalable GenAI solutions that drive innovation, automation, and intelligent decision-making across the organization.
Responsibilities:
- Designing and developing Generative AI solutions using Large Language Models (LLMs).
- Implementing Retrieval-Augmented Generation (RAG) architectures for enterprise use cases.
- Building AI-powered chatbots, copilots, and intelligent automation systems.
- Developing prompt engineering strategies and optimizing model performance.
- Integrating GenAI solutions with enterprise applications, APIs, and cloud services.
- Fine-tuning open-source and commercial LLMs for domain-specific applications.
- Developing scalable backend services and APIs to support AI applications.
- Ensuring security, governance, and compliance in AI deployments.
- Collaborating with data scientists, architects, and business stakeholders to define AI strategies.
- Monitoring, evaluating, and continuously improving AI model performance.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Minimum 10+ years of IT experience with strong background in AI/ML development.
- Hands-on experience with Python and AI frameworks such as PyTorch, TensorFlow, or similar.
- Strong experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or open-source models like LLaMA).
- Experience with vector databases (Pinecone, FAISS, or similar).
- Knowledge of NLP, deep learning, embeddings, and semantic search.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of microservices architecture and RESTful APIs.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Excellent analytical and problem-solving skills.
Preferred Qualifications:
- Experience with LangChain, Semantic Kernel, or similar orchestration frameworks.
- Knowledge of MLOps and AI governance best practices.
- Experience working on large-scale enterprise AI transformation projects.
- Relevant AI or cloud certifications.
- Strong leadership and mentoring experience.
How to Apply:
Interested candidates should submit their resume and cover letter to career@infomn.com. Please include “Senior Generative AI Engineer Application – [Your Name]” in the subject line. We look forward to reviewing your application and discussing this exciting opportunity with you.