AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

Discover Financial
San Francisco, Cambridge, San Jose, New York
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Technical problem-solving","Architectural ownership","Mentorship","Communication"]

Build and deploy AI software components for foundation model training and large language model inference, including agents, multi-agent workflows, similarity search, guardrails, evaluation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Optimize foundation model performance (scalability, cost, latency, throughput) and own end-to-end architecture, SLOs, and reliability for production AI systems using tools like AWS, Hugging Face, VectorDBs, and PyTorch.

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FursaFursa
Discover Financial
Discover Financial
12 hours ago

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and deploy AI software components for foundation model training and large language model inference, including agents, multi-agent workflows, similarity search, guardrails, evaluation, governance, and observability. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Optimize foundation model performance (scalability, cost, latency, throughput) and own end-to-end architecture, SLOs, and reliability for production AI systems using tools like AWS, Hugging Face, VectorDBs, and PyTorch.
Location: San Francisco, Cambridge, San Jose, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that improve associate workflows and customer interactions.
  • •Design, develop, test, deploy, and support AI software components spanning training, LLM inference, agent workflows, similarity search, guardrails, evaluation, governance, and observability.
  • •Invent and apply foundation model optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.
  • •Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment.
  • •Define and maintain reliability SLOs (latency, uptime, and model performance drift) and collaborate with infrastructure teams to optimize GPU/TPU utilization and inference pipelines.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Bachelor’s degree in Computer Science/AI/Engineering (or related) plus 4+ years developing AI/ML algorithms/technologies, or a Master’s plus 2+ years.
  • •4+ years programming with Python, Go, Scala, CUDA, or Java.
  • •Experience leading development of AI systems with tradeoff decisions across cost, latency, throughput, and accuracy.
  • •6+ years deploying scalable, responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • •Experience developing and optimizing AI and ML software (e.g., LLM inference, similarity search, vector databases, guardrails, memory) and improving hardware utilization, latency, throughput, and cost.
Experience:4+ yearsBankingMachine learningLLMCloudDistributed systems
Education:Bachelor's
Skills:Cross-functional collaborationTechnical problem-solvingArchitectural ownershipMentorshipCommunication
Tech Stack:MLXAWSUltraclustersHuggingfaceVectorDBsPyTorchPythonGoScalaCUDAJavaC++C#GolangGPUTPULLM inferenceSimilarity searchGuardrailsObservability

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn