The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Senior Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. This is a pivotal role in driving our AI strategy, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical expert collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Responsibilities:
- Accountability : Executing and driving results on large-scale AI efforts or multiple smaller AI efforts and serving as a development lead for most medium and large AI projects. This includes expertise with application development methodologies, generative AI & AI and standards for program analysis, design, coding, testing, debugging and implementation.
- Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
- Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
- Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
- Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
- Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
- Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
- Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills and Qualifications :
- Atleast 6+ years of relevant experience
- Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn).
- ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
- Generative AI Experience: Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
- Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
- MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Core Technical Stack & Expertise:
- LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
- Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems.
- Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
- ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models.
- Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
- Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
Education:
Bachelor's in Engineering degree, or equivalent work experience
Job Family Group: Technology
Job Family: Applications Development
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125,760.00 - $188,640.00
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