2 months ago
Base Salary
$126k - $189k/yr
Responsibilities
- Lead execution of large-scale AI efforts or multiple smaller efforts and serve as a development lead for medium and large AI projects.
- Design, build, and iterate on Generative AI and Agentic AI application prototypes.
- Implement, train, and fine-tune machine learning and deep learning models for business problems.
- Develop clean, efficient, scalable, and production-quality code for AI/ML systems.
- Engineer and manage data preprocessing and handling pipelines for training and inference.
- Deploy and operate AI applications in containerized environments such as OpenShift and Kubernetes using MLOps practices.
- Research emerging AI/ML technologies and lead proof-of-concept projects to integrate new tools.
- Build production-ready Python and FastAPI services, including asynchronous programming patterns.
- Develop RAG solutions using advanced retrieval techniques, vector databases, and PostgreSQL with pgvector.
- Optimize Generative AI applications for cost, latency, and performance and implement monitoring and logging.
- Collaborate with senior engineers, architects, product managers, and business stakeholders to translate requirements into technical solutions.
Requirements
- At least 6 years of relevant experience.
- Strong Python programming skills and familiarity with NumPy, Pandas, and Scikit-learn.
- Practical experience with machine learning algorithms and deep learning architectures such as Transformers, CNNs, and RNNs.
- Hands-on experience with Generative AI, large language models, and Agentic AI frameworks.
- Experience handling and preprocessing large, complex datasets, including cleaning, feature engineering, and validation.
- Experience or strong familiarity with MLOps, Docker, OpenShift, and Kubernetes.
- Experience with Gemini, OpenAI GPT models, Copilot, Claude, Llama, and local models.
- Experience with LangChain, LlamaIndex, Hugging Face Transformers, Datasets, Tokenizers, LangGraph, and multi-agent systems.
- Experience with PyTorch and/or TensorFlow for model development and fine-tuning.
- Experience with Pinecone, Chroma, PostgreSQL, and pgvector for retrieval and vector data workloads.
- Advanced prompt engineering, AI workflow design, and Generative AI application optimization skills.
- Bachelor's degree in engineering or equivalent work experience.
- Strong analytical, problem-solving, collaboration, and independent execution skills.
Benefits
- Primary location is Irving, Texas, United States, and the position is full time.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
- Benefits may include medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid time off may include vacation, sick leave, and paid holidays; offerings vary by jurisdiction, job level, and date of hire.
Tech Stack
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.