Openai

Openai Data Jobs

70 jobs found

1d ago

Machine Learning Engineer

Allocate Palo Alto, CA 🇺🇸 Remote

Palo Alto, CA

1d ago

$165k - $185k/yr Full time Ai Ml Artificial Intelligence Large Language Models

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Job Description

Allocate is hiring a Senior Machine Learning Engineer for a fully remote role with a base salary range of $165,000 to $185,000. You will build, train, and deploy production ML models, establish evaluation and monitoring loops, and collaborate across teams to ship ML powered capabilities. We provide medical, dental, and vision coverage, a 401(k), and paid time off. Our culture prioritizes delivering a world class client experience, continuous improvement, meritocracy, civil discourse, and embracing AI and automation to stay fast and effective.

Responsibilities

Design, train, and refine production ready machine learning models.
Develop evaluation and feedback loops that measurably boost model performance over time.
Build tooling to measure, monitor, and track model quality in live environments.
Evaluate new models and techniques, bringing the strongest candidates into production.
Collaborate cross functionally to ship ML powered capabilities.

Requirements

4+ years of applied ML or LLM engineering in production, with strong Python.
Experience taking models from prototype to reliable production systems.
Hands-on model fine tuning and rigorous evaluation discipline.
Proficiency with Git and version control systems.
Hands-on experience with AI assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge.

Technologies

Python
Git
Claude Code
OpenAI's Codex
Cursor

Benefits

Medical, dental, and vision
401(k)
PTO

Nice to have

Applied NLP, computer vision, or multimodal models
MLOps and model monitoring tooling
Background in fintech or financial data

Culture and values

Providing our clients with a world class experience is our number one priority, delivering fast responses, proactive collaboration, and top tier work across product strategy and communications.
Challenge convention by questioning ideas to determine how a viable plan can be put into motion.
Commitment to continuous improvement and personal growth on the learning curve.
Meritocracy over politics, with rewards based on results.
Civil Discourse is embraced; open, respectful, and curious conversations lead to the best decisions.
Embrace technological change by adopting tools that increase speed and capability, especially around AI and automation.

Details

Location: Fully Remote (all I-9 eligible candidates will be considered).
Employment: Full-time. Seniority: Senior professional.
Salary: Base range $165,000 to $185,000; final compensation depends on location and other job-related factors, with higher end possible in the SF Bay Area and other high cost markets.
Benefits: Medical, dental, and vision; 401(k); and PTO.
Travel: Travel required for team and department offsites.
Interview: An in-person interview may be required during the process.
Requirements: Broadband internet connection required; compliance with Allocate's Code of Ethics.

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2d ago

Senior AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

2d ago

$101k - $194k/yr Full time Manager Senior Agentic Ai

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Job Description

Verizon is seeking a Senior AI Engineer to design, implement, and scale agentic AI and ML models for the Verizon Consumer Group. The role emphasizes turning architectural concepts into production-grade code with a focus on reliability, performance, and scalable systems. This hybrid position is based in Basking Ridge, New Jersey, combining remote work with in-person office days as needed.

Compensation

Salary range: USD 101,000 to 194,000 per year.

Responsibilities

Design, test, and scale agentic AI/ML solutions, including specialized workflows and LLM-powered systems for VCG platforms.
Integrate AI agent frameworks with existing customer success, digital, and retail channel technologies.
Collaborate with product managers and GTS engineering teams to implement and refine production-grade technical roadmaps.
Participate in engineering code reviews, technical design sessions, and red-teaming exercises to ensure safe and reliable model behaviors.
Optimize model inference pipelines, API endpoints, and data integration layers to meet high-performance consumer demands.
Assist in technical research and rapid prototyping to quickly evaluate and adopt emerging open-source and proprietary AI frameworks.
Contribute to documentation of technical specifications and create materials to showcase pilot performance results.

Requirements

Bachelor's degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
One or more years of hands-on experience building and tuning AI/ML models or integrating LLM applications.
Experience with software development methodologies (e.g., Agile).
Willingness to travel up to approximately 25% of the time.

Technologies

LangChain
AutoGen
GCP
AWS
Azure
ACSS
Optix
POS
CTI
WorkHub
Performance management Tools
Verint

Benefits

Medical insurance
Dental insurance
Vision insurance
Short-term disability
Long-term disability
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
401(k) matching plan
Company-paid holidays
Personal days
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options (e.g., overtime, shift differential, holiday pay, allowances)
Vacation days

Where you'll be working

This hybrid role has a defined work location that includes working from home and at least three days per week in the office, as set by the manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled weekly hours

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability, or other legally protected characteristics.

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2d ago

12097 AI Engineer - Solutions & LLMOps

PSEG Newark, NJ

Newark, NJ

2d ago

$79k - $126k/yr Full time Agentic Ai Artificial Intelligence Azure Openai

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Job Description

PSEG is expanding its enterprise AI capabilities with a dedicated AI Engineer focused on hands-on AI engineering and LLMOps. Based in Newark, NJ with a hybrid work arrangement, this role targets building scalable, secure, production-ready AI capabilities and advancing AI operationalization across the organization.

Responsibilities

Design and validate proof-of-concept solutions for enterprise AI and Generative AI use cases.
Construct AI agents, copilots, workflows, APIs, and AI-enabled applications using enterprise AI platforms and cloud services.
Experiment with emerging AI technologies and assess feasibility with business and technical teams.
Stay informed on evolving AI engineering, GenAI, and MLOps trends and best practices.
Develop reusable AI services and shared components.
Develop and integrate AI solutions across enterprise platforms and cloud services.
Support reusable AI frameworks, integration patterns, and engineering best practices.
Contribute to scalable AI platform architecture and deployment standards.
Deploy, monitor, maintain, and optimize AI solutions in production environments.
Support CI/CD, deployment automation, versioning, lifecycle management, and release processes.
Implement monitoring, logging, observability, and performance tracking for AI applications.
Collaborate with infrastructure and platform teams to improve reliability, scalability, and operational excellence.
Ensure AI solutions comply with governance, cybersecurity, privacy, and Responsible AI standards.
Support governance reviews, risk assessments, and implementation of operational controls.
Incorporate security, monitoring, and lifecycle management into AI solution delivery.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
2+ years of experience in software engineering, cloud engineering, AI/ML development, or platform engineering.
Experience developing cloud-based applications, APIs, or automation workflows.
Experience with scripting or programming languages such as Python.
Understanding of cloud platforms, APIs, and application integration concepts.
Strong analytical, problem-solving, and collaboration skills.
Compliance with the Department of Energy's regulation 10 CFR 810 is required.

Technologies

Python
Azure OpenAI
Azure AI Services
AWS Bedrock
Git
Azure DevOps
GitHub
Docker
Kubernetes
ServiceNow
SAP
Salesforce

Benefits

Medical insurance
Dental insurance
Vision insurance
Parental leave and family leave programs
Behavioral health programs
401(k) with company match
Life insurance
Tuition reimbursement
Generous paid time off

Compensation

Salary range: USD 79,400 - 125,600 per year.

Job Summary

At this time, only current PSEG employees are being considered. The AI Engineer role blends hands-on AI engineering with LLMOps to establish scalable, secure, production-ready AI capabilities across the enterprise. It encompasses evaluating, prototyping, designing, developing, deploying, supporting, and continuously improving AI solutions in a rapidly evolving tech landscape. The role emphasizes building AI-powered applications using enterprise AI platforms and cloud services while ensuring reliability, security, and operational efficiency throughout their lifecycle. Additional responsibilities include AI operationalization, deployment automation, monitoring, prompt and model lifecycle management, LLMOps practices, and ongoing maintenance of production AI solutions.

Desired

Experience with AI, Machine Learning, Generative AI, or intelligent automation technologies.
Familiarity with cloud AI platforms such as Azure OpenAI, Azure AI Services, AWS Bedrock, or similar.
Exposure to AI agents, copilots, Retrieval-Augmented Generation (RAG), or GenAI workflows.
Experience with DevOps, CI/CD, containerization, monitoring, LLMOps, and MLOps concepts.
Experience with Git, Azure DevOps, GitHub, Docker, Kubernetes, or similar tools.
Familiarity with enterprise platforms such as ServiceNow, SAP, or Salesforce.
Experience in regulated industries such as utilities, energy, financial services, or healthcare.

Markets

Newark
New York City

Job Segment

Test Engineer
Testing
Cloud
Software Engineer
Compliance
Engineering
Technology
Legal

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2d ago

Junior Machine Learning Engineer

Tax Relief Advocates Irvine, CA

Irvine, CA

2d ago

$85k - $100k/yr Full time Artificial Intelligence Data Analysis Deep Learning

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Job Description

Junior Machine Learning Engineer in Irvine, CA, focused on designing, building, and refining ML models for document classification, entity extraction, and outcome prediction to support tax automation.

Responsibilities

Assist in designing, building, and fine‑tuning ML models for document classification, entity extraction, and outcome prediction using tools like scikit‑learn, PyTorch, or TensorFlow.
Support internal departments by transforming legacy workflows through the integration of AI powered tools.
Evaluate performance by establishing metrics such as recall, precision, and accuracy to assess model effectiveness and reduce errors in tax form extraction and chatbot responses.
Deploy and monitor models with tools like MLflow, FastAPI, or Streamlit, including versioning, logging, and ongoing system monitoring.
Learn and grow within a dynamic team, gaining hands‑on experience with real world AI applications in tax automation.

Requirements

Recent graduate (0–2 years of experience, including internships) in AI, NLP, computer science, or related fields.
Basic proficiency in Python.
Familiarity with libraries like scikit‑learn, PyTorch, or TensorFlow.
Familiarity with pandas for document extraction.
Familiarity with a PDF extraction library.
Familiarity with token estimation libraries.
Experience working with LLM APIs and their payload outputs (e.g., OpenAI, Azure AI).
Experience with OCR/document intelligence tools (e.g., Azure Document Intelligence, Google Document AI).
Interest in working with structured/unstructured data, especially financial or tax documents.
Exceptional communication skills to bridge technical and non‑technical teams.
Eager to learn, with a proactive approach to problem‑solving.
Strong documentation habits and a team‑oriented mindset.

Technologies

Python
scikit‑learn
PyTorch
TensorFlow
pandas
PDF extraction library
token estimation libraries
OpenAI
Azure AI
Azure Document Intelligence
Google Document AI
MLflow
FastAPI
Streamlit
Docker
AI Foundry
Document Intelligence
Azure Synapse
Power BI
Snowflake
AWS Lambda
Azure Functions

Benefits

Work on transformative AI projects that revolutionize tax automation.
Gain hands‑on experience with the Azure stack, including AI Foundry and Document Intelligence, alongside Python.
Join a collaborative team in Irvine, CA, with mentorship to kickstart your ML career.
Compensation: Up to $85,000 - $100,000 depending on experience.

Nice to Have

Solid understanding of containerization, with experience building custom Docker images.
Familiarity with security fundamentals like role‑based access control or JWT based authentication.
Interest in regulatory or IRS compliance for AI models.
Exposure to Azure Synapse, Power BI, or Snowflake.
Experience with serverless architectures (e.g., AWS Lambda, Azure Functions) is a plus.

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2d ago

AI Engineer

Stanford University Redwood City, CA

Redwood City, CA

2d ago

$170k - $195k/yr Full time Backend Developer Agentic Ai Ai Agents

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Job Description

Stanford University's Enterprise Technology team is seeking an AI Engineer to design, implement, and support AI and GenAI solutions across university use cases. This onsite role in Redwood City, CA may lead AI tracks and includes mentoring junior engineers as part of a collaborative, impact-focused environment.

Compensation

Salary: USD 169,728 - 194,585 per year

Responsibilities

Translate business requirements into robust AI/ML system components such as data pipelines, vector stores, prompt and agent logic, and evaluation hooks, working with the platform and architecture teams.
Develop and maintain LLM-based agents and services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) through approved APIs and tool-calling frameworks; create lightweight internal SDKs or utilities as needed.
Configure and optimize retrieval-augmented generation workflows, including chunking, embeddings, and metadata filters; integrate with existing search and vector infrastructure and elevate architectural considerations to designated architects.
Adhere to and enhance CI/CD, testing, prompt/model versioning, and observability practices; shepherd feature delivery from development through production with coordination from release managers.
Apply guardrails for governance, security, and compliance (PII redaction, policy checks, access controls); partner with InfoSec and architects to address gaps and document decisions and risks.
Instrument services with KPIs such as latency, cost, and accuracy, and build lightweight dashboards to monitor performance; deep BI/reporting is not the primary focus.
Produce clear technical documentation (APIs, workflows, runbooks), write user stories and acceptance criteria, and support or lead UAT/testing activities.
Lead stakeholder sessions, mentor junior engineers through code reviews and pair programming, and provide concise updates and risk flags.

Requirements

Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience.
Agent/agentic framework experience: built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent); able to explain tool selection, orchestration logic, and post-deployment support.
Proven delivery: completed 3+ AI/ML projects and 2+ GenAI/LLM projects in production with ongoing operational support, serving sizable user populations and demonstrating measurable efficiency gains.
Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) with experience designing, developing, testing, and deploying AI-driven applications.
Programming expertise: Python as the primary language, plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools and frameworks.
Experience with cloud AI stacks (Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.).
Knowledge of data design/architecture, relational and NoSQL databases, and data modeling.
Thorough understanding of SDLC, MLOps, and quality control practices.
Proven problem-solving and systematic troubleshooting skills; ability to define and solve complex technical problems.
Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources.
Certifications: One of (or equivalent experience with) Google/AWS/Azure ML/AI certifications or a strong demonstrable portfolio of production AI systems.

Technologies

LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents
Python, Node.js, Next.js, React, TypeScript, Java
Google Vertex AI, AWS Bedrock, Azure OpenAI
Pinecone, Elastic/OpenSearch, FAISS, Milvus
LangSmith, PromptLayer, Weights & Biases, LlamaIndex, DSPy, Haystack
Agent Engine, Google ADK, AWS AgentCore, Llama/Mistral/Qwen, vLLM/TGI/Ollama
Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters
BM25+dense, Cohere, Voyage, Jina
ServiceNow, Salesforce, Oracle Financials
Tailwind, Vertex Pipelines, MLflow, Kubeflow, SageMaker Pipelines

Benefits

Career development programs
Tuition reimbursement
Audit a course
Retirement plans
Generous time-off
Family care resources
Rock climbing facilities
Health care benefits
Health/fitness classes
Free commuter programs
Ridesharing incentives
Discounts
Access to sculptures, trails, and museums

Certifications & Licenses

Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems.

Education & Experience

Bachelor's degree and eight years relevant experience, or a combination of education and relevant experience.

Physical Requirements

Constantly perform desk-based computer tasks
Frequently sit, grasp lightly and perform fine manipulation
Occasionally stand or walk, write by hand
Rarely lift or carry objects up to 10 pounds

Working Conditions

May work extended hours, evenings, and weekends.

Work Standards

Interpersonal skills: ability to collaborate effectively with Stanford colleagues, clients, and external organizations
Promote culture of safety: uphold safety responsibilities, raise safety concerns, and follow training and procedures; align with university policies and procedures

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2d ago

AI Engineer

Coforge Ltd. New Jersey

New Jersey

2d ago

Full time Agentic Ai AI Ai Workflows

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Job Description

An on-site AI Engineer role based in New Jersey, focused on designing, developing, and deploying AI-powered applications and agentic workflows in production using LLMs, Retrieval-Augmented Generation, and prompt engineering. Collaboration spans AI architecture, development (Java and frontend), and QA (Playwright) to deliver enterprise-grade AI solutions.

Responsibilities

Design, develop, and deploy AI powered applications leveraging contemporary LLM technologies.
Create and implement agentic workflows using AI agents, orchestration frameworks, and automation platforms.
Build Retrieval-Augmented Generation pipelines employing vector databases and enterprise knowledge sources.
Conduct prompt engineering, optimization, and model evaluation to improve AI accuracy and reliability.
Fine-tune foundation models when needed to satisfy business requirements.
Integrate AI capabilities into existing enterprise applications and platforms.
Monitor, optimize, and sustain AI systems in production environments.
Develop backend services and RESTful APIs using Java frameworks.
Create responsive, scalable frontend applications to deliver AI driven user experiences.
Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.
Implement integrations with internal and external systems via APIs and microservices.
Develop automated testing strategies for AI-enabled applications.
Design and execute UI and API automation using Playwright.
Validate AI outputs through functional, regression, and performance testing.
Establish testing frameworks and quality gates for AI solutions deployed in production.
Ensure security, performance, and reliability standards are met.
Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.
Stay current with emerging AI technologies, frameworks, and industry best practices.
Contribute to AI governance, responsible AI practices, and solution documentation.

Requirements

Prompt engineering proficiency.
Experience with Large Language Models including OpenAI, Azure OpenAI, Anthropic, Gemini, and others.
Proficiency with agentic AI frameworks.
Expertise in Retrieval-Augmented Generation (RAG).
Knowledge of vector databases.
Experience with model evaluation and optimization.
Understanding of fine-tuning concepts.
AI application development experience.
Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.
Java 8, 11, or 17+ development experience.
Spring Boot expertise.
REST APIs and microservices architecture experience.
API integration skills.
Frontend experience with React.js, Angular, or other modern JavaScript frameworks.
HTML5, CSS3, JavaScript, and TypeScript proficiency.
Playwright automation experience.
API testing experience.
Test automation framework design experience.
Functional regression testing experience.
CI/CD testing practices knowledge.
Experience with Azure, AWS, or GCP clouds.
Docker and Kubernetes experience.
CI/CD pipelines experience.
Git, GitHub, and Azure DevOps familiarity.

Technologies

Core programming and backend: Java (8/11/17+), Spring Boot, REST APIs, microservices
Frontend stack: React.js, Angular, modern JavaScript frameworks, HTML5, CSS3, JavaScript, TypeScript
AI and ML tooling: OpenAI family, Azure OpenAI, Anthropic, Gemini; LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen; Retrieval-Augmented Generation; vector databases
Cloud and containers: Azure, AWS, GCP, Docker, Kubernetes
Version control and DevOps: Git, GitHub, Azure DevOps
Testing and automation: Playwright automation, API testing, test automation frameworks, functional regression testing, CI/CD testing practices

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3d ago

Machine Learning Engineer

Elder Research Remote 🌍 Remote

Remote

3d ago

Full time Backend Developer Agentic Ai Ai Workflows

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Job Description

People centered. Data driven. Elder Research offers a culture that prioritizes people and data-driven impact, with remote work options to support flexible collaboration. In this role, you will build and deploy AI agents, integrate models and workflows, and help ensure ethical and secure AI systems across client-focused projects.

Responsibilities

Design and deploy AI agents to automate labor intensive workflows and unlock new capabilities for the human workforce.
Align research and customer goals to accelerate turning applied innovations into contract impact.
Develop software that enables AI agent communication, connecting models and external services via APIs, plus testing, deployment, monitoring, and reliable execution in target environments.
Work with a mix of open source models, agentic tools, and large private commercial models.
Create methods to secure agentic workflows and evaluate results for accuracy, performance, and impact.
Ensure AI systems operate under ethical guidelines, with transparency and fairness in mind.
Apply hands-on expertise with generative AI models, including prompt engineering, chain of thought reasoning, and NLP tasks such as entity extraction, summarization, and semantic search.

Requirements

Active TS/SCI security clearance with CI polygraph for U.S. government work.
Minimum of 3 years of experience with a Bachelor’s degree.
Proficiency in Python and SQL.
Familiarity with JavaScript and containerization technologies, including Docker on Rocky Linux.
Experience developing and managing API endpoints using REST and FastAPI.
Experience building agentic AI workflows and systems.
Knowledge of Langchain, LangGraph, OpenAI Agents, and Pydontic.
Experience with UVicorn as a web server.
Experience with Streamlit for web apps.

Technologies

Python
SQL
JavaScript
Docker
Rocky Linux
REST
FastAPI
Langchain
LangGraph
OpenAI Agents
Pydontic
UVicorn
Streamlit
AWS Cloud

General Information

Requisition #728
Location: Remote
Posting Date: 07/24/2026
Security Clearance Required: TS/SCI + CI Poly
Time Type: Full time

Physical Requirements

The position may require sitting for extended periods (approximately 50% of the time) and occasional movement around the office to access equipment or collaborate with colleagues. Occasional presentations or virtual meetings may be required.