Jobs in the United States

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Added 2 mins ago
Applied AI/ML Sr. Associate - Small Business
JPMC page
New York, NY · NY
Build agentic AI systems with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.
Added 4 mins ago
Sr. Product & Customer Marketing Manager
Incident IQ
Remote, United States
Added 7 mins ago
Senior Solutions Architect, NVIDIA Cloud Partners - Telco
NVIDIA USA
Remote, United States
…Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA…
Added 8 mins ago
TL
Principal Engineer, Security AI Tooling and Automation
TransUnion LLC
Chicago, IL
- $168,750 to $281,250 USD / year
Strong background in API integration, data-pipeline engineering, and building internal developer or operator tooling at production scale.
Added 9 mins ago
FT
Principal Software Engineer (Python, Oracle, AWS)
Fidelity Technology Group, LLC
Boston, MA
- $107,000 to $216,000 USD / year
We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management – analysts and portfolio manager in equities, fixed income,…
Added 11 mins ago
MI
AI Software Engineer (TS/SCI)
Maxar Intelligence I
Westminster, CO
- $140,000 to $200,000 USD / year
…role requires strong software engineering skills, practical LLM experience, and an understanding of secure, usable AI in mission…
Added 13 mins ago
U
AI Product Intern
USAFacts
Bellevue, WA
- $33 USD / hour
Following the latest developments in the fast-moving AI & LLM space, including technical innovations, design trends, and business impact.
Added 18 mins ago
Software Engineer, Full Stack
Pendo
Raleigh, NC
Experience building AI-powered product features using technologies such as LLM APIs, agents, or Model Context Protocol.
Added 19 mins ago
A
Agentic Commerce Senior Manager | GEO & Search
Accenture
Des Moines, IA
- $132,500 to $338,300 USD / year
…to drive scalable improvements in how brands appear within LLM-powered environments such as ChatGPT and Perplexity. The ideal candidate combines deep expertise in organic search, technical…
Added 19 mins ago
ZC
Senior Data Engineer
Zip Co Limited
United States
- $134,000 to $180,000 USD / year
Familiarity with how AI and LLM-powered applications consume enterprise data, including unstructured data, metadata enrichment, embeddings, semantic
Added 20 mins ago
Senior Machine Learning Engineer
Checkr
Denver, CO · San Francisco, CA
Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model,…
Added 21 mins ago
Senior Software Engineer
Equifax, Inc
GA
…(e.g., Dialogflow, AWS Lex, Azure Bot Service, Rasa, or custom LLM…
Added 21 mins ago
Principal AI Architect
SecurityScorecard
Remote, United States
Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, not just demos: agent loop design, context engineering, MCP and…
Added 21 mins ago
Associate Software Engineer
Digital.ai
Lafayette, IN
…indexing, prompt contexts, or codebase mapping) to improve LLM comprehension and code-generation…
Added 24 mins ago
E
Staff Android Software Engineer
EchoStar
Englewood, CO
- $127,050 to $181,500 USD / year
AI literacy and application expertise in Gen-AI assisted software development, LLM/SLM, or Edge AI feature development
Added 28 mins ago
Staff Product Manager, Agentic AI - Credit Karma Intelligence
Intuit
Oakland, CA · Mountain View, CA · Charlotte, NC
AI builder: You have shipped AI/ML or LLM-powered products, and you understand how models and agents work in practice: tool use, connectors, evaluation, and the limits of today's models.
Added 30 mins ago
Tax Manager, International Tax Services
BDO USA Experienced
Raleigh, NC
Juris Doctorate degree, LLM and/or MST/MBT, preferred
Added 32 mins ago
Senior Security Platform Automation Engineer
Apple
Seattle, WA
Experience building LLM- or agent-based features, integrating agents with existing systems (tool calling, MCP), or evaluating AI output quality
Added 35 mins ago
Principal Developer - AI
United Airlines
Houston, TX
The Principal Developer is a hands-on individual contributor responsible for designing, building, testing, deploying, and supporting AI agents and the software capabilities that enable…
Added 35 mins ago
Applied AI Architect, Public Sector (State & Local Government)
Anthropic
San Francisco, CA · New York City, NY · Washington, DC
…expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and…
Added 36 mins ago
Senior Lead Software Engineer Cloud Platforms
JPMC page
Jersey City, NJ · Palo Alto, CA
Drive adoption of modern DevEx (Developer Experience) practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
Added 36 mins ago
Growth Program Manager
Scale AI
San Francisco, CA · NY
…sourcing, outreach, screening, onboarding, and reporting, such as LLM-drafted outreach, lead enrichment, triage agents, QA checks, and self-updating…
Added 44 mins ago
26026084 Enablement Program (Content Mgmt Systems) Marketing Manager
Bank of America, National Association
United States
…components, publishing processes, content architecture, and AI/LLM visibility requirements while partnering with Marketing, Technology, SEO, and agency teams to support day-to-day…
Added 44 mins ago
Software Development Engineer, Eva Development Team
Amazon Web Services, Inc.
Bellevue, WA
- Generative AI / Agentic Systems - LLM integration, prompt engineering, RAG architectures, tool-calling patterns, agent frameworks (Strands, LangChain)
Added 48 mins ago
Software Engineer II
Samsara
Remote, United States
We are building the next generation of safety products to be AI-native. Our team is developing LLM-powered workflows, agentic systems, and conversational experiences that help customers…

Simple Solutions

AI Optimization Engineer - ONSITE

Jersey City, NJ, United States

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Job details

Posting language: English
Posted: Apr 14, 2026

Original job description

Job Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ)

We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure.

The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana.

This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embedding, and enterprise-scale AI deployments is highly preferred.

Core Responsibilities

Design and optimize AI/ML workloads on GPU-based HPC clusters.
Deploy and manage large language models (LLMs) in scalable production environments.
Implement model optimization techniques including pruning, quantization, and knowledge distillation.
Develop and manage automated job scheduling using SLURM with REST and Flask APIs.
Deploy ML models using containerized microservices architectures.
Monitor system performance using Prometheus and Grafana.
Optimize inference pipelines using Triton Inference Server and TRTLLM.
Conduct exploratory data analysis and model performance evaluation.
Collaborate with infrastructure and ML teams to improve scalability and efficiency.

Skills Required

The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment.

Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

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