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Chase · 3 weeks ago

Sr Lead Software Engineer - Gen AI, Java FS/Python

8181 Communications Pkwy Bldg F, Plano, TX, 75024, US

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Chase is a leading financial services firm, and they are seeking a Senior Lead Software Engineer to drive cutting-edge generative AI solutions. In this role, you will be part of an agile team focused on enhancing and delivering reliable technology products while providing technical guidance and developing robust AI infrastructure.

BankingFinancial Services

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives decisions that influence the product design, application functionality, and technical operations and processes

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Adds to the team culture of diversity, opportunity, inclusion, and respect

Designs and implements generative AI models including large language models, multimodal systems, and specialized domain-specific models

Builds scalable, robust AI infrastructure capable of handling enterprise-level workloads. Designs efficient data pipelines for model training and inference, implements MLOps practices for continuous integration and deployment, and ensure system reliability through comprehensive monitoring and testing frameworks

Qualification

PythonAI/ML developmentPyTorchTensorFlowAWS/Azure/GCPDockerKubernetesSQLJavaScript/TypeScriptGoRustGitCI/CD pipelinesJupyter notebooks

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

5+ years of hands-on experience in AI/ML development

Proficiency in Python, SQL, JavaScript/TypeScript, Go or Rust ML

Proficiency in PyTorch, TensorFlow, and modern ML frameworks, Hugging Face Transformers, LangChain

Experience in Infrastructure, AWS/Azure/GCP, Docker, Kubernetes, MLflow, Weights & Biases

Deep understanding of transformer architectures, attention mechanisms, and neural network optimization techniques

Proven experience working with large language models including GPT, Claude, LLaMA, or similar architectures. Hands-on experience with fine-tuning techniques, prompt engineering, and model evaluation methodologies. Familiarity with vector databases, embedding models, and retrieval systems for RAG implementations

Demonstrated ability to deploy AI models in production environments with considerations for latency, throughput, and cost optimization. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Understanding of model serving frameworks and API development

Advanced degree in Computer Science, Machine Learning, or related field

Preferred

Experience with distributed training and large-scale model development

Knowledge of AI safety, alignment, and responsible AI practices. Background in specific domains such as natural language processing, computer vision, or multimodal AI. Contributions to open-source AI projects or published research in top-tier conferences

Experience in Vector databases (Pinecone, Weaviate), traditional databases (PostgreSQL, MongoDB)

Experience in Tools & Platforms, Git, CI/CD pipelines, Jupyter notebooks, model serving platforms