660 Engineer Api Platform jobs in New York,NY

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Capital One

New York, NY 10001

New, Posted 3 hours ago

Physician / New York / Permanent / DevOps / SRE Job

Tandym Health

New York, NY 10001

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Vice President, Trading Engineering

Fidelity Investments

New York, NY 10132

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science or related field required
At least 12 years of software engineering experience
Strong background in designing and developing low latency trading systems.
Experience in building SOR, Algo engine, or exchange-connectivity for Equities or Crypto.
Experience using kernel bypass e.g., Solarflare OpenOnLoad.
Extensive experience with modern Java using zero GC pattern.
Highly proficient in ultra-low latency design patterns and optimizing trading systems.
Hands on experience with low latency messaging products, such as Aeron, Solace or 29West.
Knowledge of FIX protocols
Proficient in SQL and a working knowledge of relational and time series databases
Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services
An understanding of cloud-based deployments using Kubernetes and AWS
Ability to build reliable software that can withstand unreliable environments
Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome
Have Knowledge of Agile methodologies or iterative development processes
Experience in Capital markets or Crypto Currency specifically with exposure to Trading, Algo Trading.
Proficient with version control systems and can handle development for multiple releases in parallel
Have the drive and ability to deliver software with a high degree of automation