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Remote Aiml Software Developer

New York

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853 Remote Aiml Software Developer jobs in New York

New, Posted 1 day ago
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Sr. Technical Program Manager, Sponsored Products - Off-Search

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of technical product or program management experience
  • 3+ years of software development experience
  • 5+ years of technical program management working directly with software engineering teams experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Experience building and evaluating system-level technical design
  • Experience developing and executing/delivering product and technical roadmaps
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Software Development Engineer II

Optimum Communications

Bethpage, NY 11714

$100,246-$164,689/yr
New, Posted 1 day ago
Senior Manager, Software Development Engineer in Test

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$171,600-$230,100/yr
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Software Dev Engineer II

Optimum Communications

Bethpage, NY 11714

$100,246-$164,689/yr
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Senior AI Agent Engineer

GE Vernova

Niskayuna, NY 12309

Paid Relocation to Niskayuna, NY

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
  • 3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
  • 3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
  • 3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
  • Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
  • Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
  • Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
  • Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
  • Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
  • Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
  • Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
  • Awareness of AI ethics, data privacy, and secure handling of sensitive information.
  • Must be 18 years or older
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
  • You must submit your application for employment on the careers page at www.gecareers.com to be considered
  • Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
  • Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
  • Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
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New, Posted 1 day ago
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Specialist, Software Engineer

L3Harris Technologies

Rochester, NY 14603

Bilingual Preferred
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Principal AI Software Engineer

GE Vernova

Niskayuna, NY 12309

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
  • 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
  • Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
  • Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
  • Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
  • Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
  • Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
  • Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
  • Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
  • GE Vernova will only employ those who are legally authorized to work in the United States for this opening.
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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 7+ years of working directly with engineering teams experience
  • 5+ years of technical product or program management experience
  • 3+ years of software development experience
  • 5+ years of technical program management working directly with software engineering teams experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
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Senior Associate, ServiceNow Software Asset Management (SAM)

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
  • Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
  • Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
  • Experience in IT process improvement within your own organization or as an external consultant
  • Strong business, technical, analytical, problem-solving, and verbal and written communication skills
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • 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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