No responsibilities or details were provided. The posting only lists the job title "AI Engineer" with no additional information about duties or expectations.
AI Engineer
ResponsibilitiesAI Engineer
QualificationsAI Engineer
EXL New York, New York, USA Office
320 Park Avenue, 29th Floor, New York, NY, United States, 10022
EXL Jersey City, New Jersey, USA Office
Jersey City, United States, 0
EXL Newark, New Jersey, USA Office
Newark, United States
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.
Top Skills:
CC++Dsp ToolchainsEmbedded LinuxExecutorchFreertosKnowledge DistillationMicrocontroller/Soc DevelopmentModel CompilationNpu ToolchainsOnnx RuntimeOperator FusionPruningQuantizationRustTensorrtTfliteZephyr
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.
Top Skills:
Aws UltraclustersC#C++GoHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and build the agent execution harness and orchestration runtime to enable reliable, observable, and scalable agentic AI in production. Own fault tolerance, latency, throughput, prompt/version management, LLM integration, evaluation frameworks, and technical leadership to ensure safe, cost-efficient multi-step agent workflows at enterprise scale.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



