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Added 25 mins ago
Advanced AI Workloads - Performance and Scalability Engineer
Advanced Micro Devices, Inc
San Jose, CA
Deep hands-on experience with AI serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) and their internals
Added 33 mins ago
Emerging Technology & Leadership Program
Incture Technologies
New Jersey, MO
LLM integrations, AI/ML frameworks and intelligent automation.
Added 35 mins ago
Senior Manager, Data Engineering & AI
CVS Health
Wellesley, MA
Leads the design and delivery of AI and ML-enabled data products, including GenAI, RAG, and LLM-based solutions, along with supporting data foundations, MLOps/LLMOps practices, and…
Added 36 mins ago
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations)
Capital One
Cambridge, MA
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 3 hours ago
Forward Deployment (FD) Agentic Solutions Consultant - Sales
Jobgether
Remote, United States
Hands-on understanding of large language model (LLM) systems, including agent workflow design, Retrieval-Augmented Generation (RAG), prompt engineering, schema design, and evaluation.
Added 3 hours ago
Bank Credit Risk Analyst Lead - Retail Banking
USAA Federal Savings Bank
Charlotte, NC
Added 3 hours ago
Staff Software Engineer
BitSight Technologies
Boston, MA
Proficiency in leveraging AI-powered developer tools to accelerate software development lifecycles, and leading team members in these best practices.
Added 3 hours ago
Staff Engineer, Applied AI & Build Standards
Best Buy
Richfield, MN
Calibrate LLM-as-judge scoring against human review, with annotation workflows that route the right traces to reviewers
Added 3 hours ago
Staff Software Engineer - Builder Platform
Jobgether
Remote, United States
…through AI-powered agents, automated workflows, and advanced developer tools. You will own the architecture, development, and operation of agent platforms and AI infrastructure, ensuring…
Added 3 hours ago
Senior Staff Software Engineer - Builder Platform
Jobgether
Remote, United States
…internal platform focused on AI agents, automated workflows, and developer productivity. You will lead strategic initiatives spanning AI infrastructure, platform engineering, developer…
Added 3 hours ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer tools.
Added 3 hours ago
C
Digital Marketing Lead
Codal
Chicago, IL
- $120,000 to $160,000 USD / year
Deep, current, hands-on experience in AI search: GEO, AIEO and how LLM-based engines select and cite sources, plus a strong SEO foundation (technical, content and off-page)
Added 3 hours ago
Principal Offensive Security Engineer
Alteryx, Inc.
Remote, United States
Added 3 hours ago
A
MarTech Data Architect
Accenture
Scottsdale, AZ
- $132,500 to $302,400 USD / year
…integrations. Use AI tools - including generative design and LLM-assisted architecture review - as part of your own design process, not just as features recommended to…
Added 3 hours ago
Sr Data Scientist
CVS Health
Phoenix, AZ
Experience deploying LLM-based systems to production with CI/CD
Added 4 hours ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
Strong breadth across predictive ML, statistical learning, and LLM-based, agentic, and retrieval-grounded systems, with judgment about when each fits
Added 4 hours ago
AI Product Owner – Microsoft Copilot & Anthropic Claude
Massachusetts Mutual Life Insurance Co.
Springfield, MA · Boston, MA
2+ years' experience and knowledge of LLM capabilities, limitations, prompt engineering, and evaluation techniques
Added 4 hours ago
Sr Frontend Developer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Frontend Developer based in the United States.
Added 4 hours ago
Principal Engineer, Applied AI & Build Standards
Best Buy
Richfield, MN
Experience setting technical direction for a shared platform many engineering teams depend on, such as an API gateway or developer platform
Added 4 hours ago
M
Senior Machine Learning Engineer - Applied Scientist
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · San Francisco, CA · Redmond · Mountain View · New York · San Francisco
- $119,800 to $261,000 USD / year
Design and operationalize LLM evaluation frameworks across the product development lifecycle, including early prototyping, model/prompt iteration, feature development, pre-launch…
Added 4 hours ago
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Senior Technical Program Manager, AI Content Capabilities
Microsoft
WA · NY · GA · Redmond, WA · Atlanta, GA · Redmond · New York · Atlanta
- $119,800 to $261,000 USD / year
Demonstrated experience shaping technical solutions with Engineering and Design, with fluency in APIs, application integrations, data and context management, and AI/LLM concepts.
Added 4 hours ago
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Research Intern - Speech Processing
Microsoft
WA · Redmond, WA · Redmond
- $6,810 to $14,610 USD / month
…audio generation, and multimodal with Large Language Models (LLM). As a Research Intern, you will have the opportunity to conduct both fundamental and applied research in collaboration with…
Added 4 hours ago
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Software Engineer II
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
As a Software Engineer II in Agentic Engineering Productivity, you will build LLM-powered agents that turn intent into tested, reviewable changes, keep build pipelines and internal tools…
Added 5 hours ago
Director IT- Data Science & Analytics
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
Added 5 hours ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Develop AI- and LLM-enabled systems that support threat assessment and operational decisions.

Closed listing

Simple Solutions

AI Optimization Engineer - Hybrid Onsite 3 days

Jersey City, NJ, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description Summary – AI Optimization Engineer (Hybrid Onsite 3 days, 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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