Referso Jobs

Senior AI Systems Engineer (Agentic & Smart Home)

the-greater-change-1 · Posted Nov 7, 2026

Open

Dubai, Dubai, United Arab Emirates
Senior
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Senior AI Systems Engineer (Agentic & Smart Home)

the-greater-change-1 · Posted Nov 7, 2026

Open

Dubai, Dubai, United Arab Emirates
Senior
Visa sponsorship

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VP Engineering, Business AI Applications

Palo Alto Networks · Posted Oct 29, 2026

Open

California, United States
$306K–$420K per year
20+ years
Visa sponsorship

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The VP Engineering, Business AI Applications, will be the principal technical leader responsible for integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities across CPQ and NPI ecosystems, with a core focus on the Opportunity-to-Quote lifecycle.

Compensation

$306,000.00 - $420,000.00/yr

Responsibilities

Define the multi-year technology strategy and architecture roadmap for AI integration into the Business App stack
Architect and establish company standards for advanced AI customer solutions
Lead Go-To-Market Engineering to scale pipeline generation and seller productivity
Lead and develop a global, multi-disciplinary team
Drive significant business impact by leading large-scale, multi-organizational, or global initiatives

Requirements

Master's or PhD in Engineering or STEM

Skills

AI Machine Learning Large Language Models RAG pipelines vector databases LangChain

Senior AI Engineer, AI Safety

NVIDIA · Posted Nov 6, 2026

Open

Santa Clara, California, United States
Full-time · Senior
$184K–$357K per year
8+ years

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Serving as an AI Engineer on the AI Safety Engineering team to scale methods to secure and align advanced AI systems, architecting fundamental elements of safety infrastructure and autonomous automation cycles.

Compensation

The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Responsibilities

Architect Agentic Automation: Compose, build, and deploy foundational agentic automation loops that streamline workflows spanning safety evaluations, red-teaming, model testing, model post-training and ablations.
Develop Safety Models: Move from infrastructure automation towards training and implementing specialized systems for identifying harmful content, coordinating content quality, and run-time guard-railing.
Pioneer Auto-Research: Build and guide automated research frameworks using LLMs and autonomous agents to discover new vulnerabilities.
Scale Innovations: Take proof-of-concept safety interventions and research ideas and engineer them into robust, highly scalable solutions that integrate seamlessly into production pipelines.
Cross-Functional Execution: Partner closely with researchers, platform engineers, and data scientists to bridge the gap between theoretical AI safety research and practical, technically focused automated systems.

Requirements

Bachelor’s degree
Master’s degree
Computer Science
Machine Learning

Senior AI Engineer, AI Safety

NVIDIA · Posted Nov 6, 2026

Open

Santa Clara, California, United States
Full-time · Senior
$184K–$357K per year
8+ years

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Senior AI Engineer on the AI Safety Engineering team, responsible for architecting and developing safety infrastructure, automating workflows, and scaling solutions for advanced AI systems.

Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Responsibilities

Architect Agentic Automation
Develop Safety Models
Pioneer Auto-Research
Scale Innovations
Cross-Functional Execution

Requirements

Bachelor’s degree or Master’s degree in Computer Science, Machine Learning, Software Engineering, or a related field
Nice to have: Trust & Safety background
Nice to have: cybersecurity
Nice to have: threat intelligence
Nice to have: adversarial machine learning

Skills

Rust Python PyTorch LLMs agentic systems automation

Data Scientist

Leidos · Posted Nov 4, 2026

Open

Odenton, Maryland, United States
$154K–$278K per year
12–15 years

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Experienced Data Scientist to architect AI frameworks and push capabilities into production for United States Cyber Command.

Compensation

Pay Range $154,050.00 - $278,475.00

Responsibilities

Architect AI frameworks for analytic superiority
Fine-tune open-source models in air-gapped enclaves
Engineer Retrieval-Augmented Generation stacks
Integrate unified mission systems
Mentor senior technologists

Requirements

Master’s Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics
Nice to have: Google Professional ML Engineer
Nice to have: AWS Machine Learning Specialty
Nice to have: NVIDIA Generative AI/LLM Associate

Skills

LangGraph CrewAI AutoGPT Llama 3 Mistral PyTorch TensorFlow

GenAI ML Engineer

Diverse Lynx India · Posted Nov 4, 2026

Open

Hyderabad, Telangana, India
7–8 years

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Responsibilities

Analysis of customer problem statement in Infra support , evaluate result of GenAI models(text, image, video)
Hands on experience in working in AI/ML Projects with exposure to Python Programming for Data Science.
Sound Knowledge in Prompt Engineering, AutoGPT and LangChain.
Familiarity with data science toolkits & Libraries ( PyTorch, SciKit Learn, Pandas, NumPy, Jupyter, etc.) and should have exposure to large language models (LLMs). Understanding of AI data privacy policy .

Skills

Python Prompt Engineering AutoGPT LangChain PyTorch SciKit Learn Pandas NumPy Jupyter LLMs

Senior Software Engineer

Direct Supply · Posted Oct 14, 2026

Open

Milwaukee, Wisconsin, United States
Senior
3+ years

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Design and deliver AI‑enhanced software solutions for Direct Supply’s healthcare products, leading architecture, mentoring, and integrating large language models and automation.

Responsibilities

Lead design and development of scalable AI‑enhanced software solutions
Architect secure, high‑performing applications and services
Integrate AI capabilities such as large language models, conversational assistants, image‑based diagnostics, and automated content generation
Advance AI‑powered development tools and automation frameworks
Design and optimize APIs, microservices, and integrations

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field
Nice to have: Contributions to open‑source AI projects
Nice to have: AI research
Nice to have: Conference participation
Nice to have: AI engineering communities

Skills

AI‑powered applications Large language models Hugging Face OpenAI Anthropic

Senior AI Systems Engineer (Agentic & Smart Home)

Senior AI Systems Engineer (Agentic & Smart Home)

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VP Engineering, Business AI Applications

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Senior AI Engineer, AI Safety

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Senior AI Engineer, AI Safety

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Data Scientist

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GenAI ML Engineer

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Senior Software Engineer

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AutoGPT jobs

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