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Azure Openai Developer Jobs

18 jobs found

2d ago

Senior GenAI Developer

Atrium New York, NY

New York, NY

2d ago

$55 - $70/hr Full time Backend Developer Senior Agentic Ai

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Job Description

Atrium is seeking a Senior GenAI Developer to help build and improve enterprise conversational AI solutions across the Microsoft ecosystem. This onsite role in New York focuses on creating AI agents and workplace assistants that can securely connect to internal data and business applications, with a strong emphasis on Microsoft Copilot Studio and Azure AI services.

Role focus

You will develop production-ready conversational and Generative AI capabilities, including agents that retrieve enterprise knowledge and respond with relevant, context-aware information. Work also includes integration with internal systems and building automated workflows that connect AI experiences to day-to-day business processes.

Responsibilities

Build and enhance enterprise conversational AI agents and digital assistants.
Develop solutions using Microsoft Copilot Studio, Power Virtual Agents, and Azure OpenAI.
Connect AI agents securely to internal enterprise data and applications.
Design integrations using Microsoft Graph API, Dataverse, and custom APIs.
Build RAG-based solutions for enterprise knowledge search and retrieval.
Use Azure AI Search and vector-based technologies to deliver relevant, context-aware responses.
Develop integrations between AI solutions and existing business systems.
Build automated workflows using Power Automate.
Support Power Apps and other Microsoft-based business applications as needed.
Ensure solutions align with enterprise standards for security, scalability, reliability, and data access.

Requirements

Strong hands-on experience developing conversational or Generative AI applications.
Experience with Microsoft Copilot Studio and Power Virtual Agents.
Hands-on experience with Azure OpenAI Service.
Experience designing and implementing RAG solutions.
Experience with Azure AI Search and vector search/vector databases.
Knowledge of Microsoft Graph API and Microsoft Dataverse.
Experience integrating enterprise applications and APIs.
Strong understanding of secure enterprise AI and data-access patterns.
Ability to design, build, and deploy production-ready AI solutions.
Must be authorized to work in the U.S. without current or future sponsorship.

Technologies

Microsoft Copilot Studio
Azure OpenAI
Power Virtual Agents
Azure AI Search
Microsoft Graph API
Dataverse
Power Automate
Power Apps
Microsoft ecosystem
RAG
Vector search
Vector databases
Custom APIs

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline preferred.
Equivalent professional experience will be considered.

Location and compensation

Location: New York, NY (onsite)
Pay: USD 55 - 70 per hourly

Benefits

Medical, Dental, and Vision Insurance.
Paid Time Off (PTO).
Additional employee benefits based on eligibility and assignment terms.

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2d ago

AI Developer

Cadre5 Knoxville, TN

Knoxville, TN

2d ago

Full time Ai Developer APIs Artificial Intelligence

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Job Description

Cadre5 is looking for an AI Developer to design, build, deploy, and support AI and workflow-automation solutions that strengthen technology transfer operations. In this hybrid role based in Knoxville, TN, you will partner with business, scientific, and technical stakeholders to deliver secure, practical, and scalable AI-enabled tools within a compliant environment.

You will help modernize how teams handle invention disclosures, patents, agreements, market outreach, reporting, and portfolio management, while evaluating emerging AI/ML approaches including generative AI and agentic workflows. The role also includes integration work across data sources and business systems, along with user enablement and adherence to required quality and governance practices.

Responsibilities

Develop, implement, test, and support AI/ML tools, models, and workflows that improve technology transfer and commercialization activities.
Collaborate with business and scientific/technical stakeholders to understand needs, gather requirements, and recommend practical solutions.
Support modernization of workflows related to invention disclosures, patents, agreements, market outreach, reporting, and portfolio management.
Evaluate emerging AI/ML trends, tools, and technologies, including generative AI and agentic workflows, and provide recommendations for strategy and roadmaps.
Integrate AI-enabled solutions with databases, reporting tools, and other business systems.
Support data analysis, workflow automation, reporting, dashboards, and decision-support tools.
Assist in creating AI-enabled marketing, research, and commercialization support tools, including market analysis, partner identification, and technology summaries.
Provide user support, training, and guidance to help staff adopt AI-enabled tools and workflows.
Ensure responsible, ethical, secure, and compliant use of AI in accordance with ORNL policies and guidance.
Collaborate with other DOE labs and external partners to strengthen ORNL’s AI/ML capabilities and best practices.
Adhere to ORNL and ITSD software quality assurance, project management, and ITIL practices.

Requirements

Bachelor’s degree in computer science, data science, artificial intelligence, information systems, or a related field.
Minimum of 5 years of relevant experience, including recent AI/ML experience; equivalent combinations of education and experience may be considered.
Experience developing and deploying AI/ML solutions in cloud and/or on-premises environments, including secure environments.
Experience gathering requirements, designing solutions, and delivering business-focused results.
Familiarity with modern AI/ML tools and platforms such as Azure AI services, OpenAI APIs, Azure AI Foundry, Google Vertex AI, AWS Bedrock, Hugging Face, LangChain, GitHub, GitLab, or similar frameworks.
Experience with workflows, automation, analytics, data models, or reporting environments.
Strong communication skills and ability to explain technical concepts to non-technical users.
Ability to work collaboratively across technical and business teams while handling multiple priorities.
Ability to obtain and maintain a Department of Energy “Q” clearance is required, requiring US Citizenship.

Technologies

Azure AI services
OpenAI APIs
Azure AI Foundry
Google Vertex AI
AWS Bedrock
Hugging Face
LangChain
GitHub
GitLab
Python
PyTorch
TensorFlow
Visual Studio
Visual Studio Code

Benefits

Full medical, dental, and vision coverage
401K match
15 days PTO
10 holidays

Why Cadre5

Working with highly talented team members
3 weeks’ vacation
Excellent medical insurance, including employer-paid benefits

Preferred Qualifications

Advanced degree in a related field.
Experience with agentic AI, workflow orchestration, or development of AI agents for specific tasks.
Experience with Python, PyTorch, TensorFlow, Visual Studio, or Visual Studio Code.
Familiarity with vector databases, graph databases, multidimensional or tabular modeling.
Experience leading projects or programs involving AI/ML, data science, analytics, or low-code/no-code tools.
Familiarity with ORNL business processes, SharePoint technologies, or commercialization-related systems.
Experience supporting training, adoption, and change management for new tools and processes.
Strong problem-solving skills, adaptability, and customer-service orientation.

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2d ago

Enterprise Applications Developer

National Field Representatives, Inc. Claremont, NH 🇺🇸 Remote

Claremont, NH

2d ago

Full time Backend Developer .NET .NET Core

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Job Description

National Field Representatives, Inc. is hiring an Enterprise Applications Developer to build and support secure enterprise solutions across .NET, Azure, and SQL Server.

Responsibilities

Design, develop, and support enterprise applications using .NET, Azure, and SQL Server under the direction of the Manager.
Deliver secure cloud, AI, and automation solutions.
Collaborate with stakeholders to create scalable and reliable systems.
Support modernization, optimization, and continuous improvement initiatives while following security best practices.

Requirements

3+ years of experience designing, developing, deploying, and supporting enterprise software applications.
Hands-on expertise building with Microsoft .NET technologies including C#, ASP.NET Core, and REST APIs.
Experience with SQL Server, modern software development tools, and frameworks.
Experience developing, integrating, and supporting enterprise applications and Microsoft Azure cloud solutions.
Experience building AI-enabled applications using modern AI services and frameworks.
Proficiency with source control, CI/CD, and DevOps practices using GitHub Enterprise, GitHub Actions, and/or Azure DevOps.
Experience integrating business applications, third-party tools, and automated workflows.
Experience developing AI-powered applications, automation solutions, and intelligent tools that improve business processes and user productivity.
Knowledge of software architecture, object-oriented design, Agile methodologies, security best practices, and modern software engineering principles.
Proven ability to troubleshoot, support, and optimize mission-critical business applications and databases.

Technologies

.NET, Azure, SQL Server
C#, ASP.NET Core, REST APIs
GitHub Enterprise, GitHub Actions, Azure DevOps
Power Platform (Power Apps, Power Automate, Dataverse)
Microsoft Fabric, Power BI
Azure AI Services, Azure OpenAI, Copilot Studio
Semantic Kernel
Retrieval-Augmented Generation (RAG) architectures
Microservices, containerization
Infrastructure as Code (IaC)

Benefits

Health insurance
Dental insurance
Vision insurance
Company paid life insurance
Generous PTO package
401(k) employer matching contribution
Third-party products such as disability and additional life insurance
Great training program

Preferred Experience

Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
Microsoft Fabric and Power BI
Azure AI Services, Azure OpenAI, Copilot Studio, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures
Microservices, containerization, and Infrastructure as Code (IaC)
Legacy application modernization and cloud migration projects

Remote / Hybrid / Office & Location

Remote role with an option to work hybrid or in office from the NH office.
Remote locations available in: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX, VT.

Work Authorization

NFR does not sponsor work visas.

Location: Claremont, NH (remote) | Minimum Experience: 3 years

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4d ago

Software Engineer

Bowers Beltsville, MD

Beltsville, MD

4d ago

$90k - $110k/yr Full time Backend Developer Analytics APIs

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Job Description

Build and maintain full-stack web applications that support W.E. Bowers & Associates operations, hosted in Microsoft Azure, while using AI coding tools to improve delivery speed and code quality.

Responsibilities

Design, build, and maintain modern full-stack web applications hosted in Microsoft Azure
Develop responsive, accessible front-end interfaces using React
Build and maintain back-end services, APIs, and integrations using Python and/or Java
Model, query, and manage data using Microsoft SQL Server and Microsoft Fabric
Use Claude Code and related AI development tools to accelerate delivery and improve code quality
Integrate AI capabilities into business applications to support W.E. Bowers users and improve operational efficiency
Maintain and modernize legacy reporting assets where applicable, including Crystal Reports tied to the Spectrum platform
Work on-site with W.E. Bowers business users to gather requirements, troubleshoot issues, and deliver fit-for-purpose solutions
Collaborate with Legence shared services and engineering teams across other operating companies on standards, security, and platform initiatives
Document solutions, follow source control and CI/CD best practices, and support a high-quality engineering culture

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline
2 to 4 years of professional, post-college experience in full-stack web application development
Proficiency with React for front-end development
Strong professional experience with Python or Java for back-end development; working knowledge of the other is strongly preferred
Hands-on experience designing, querying, and managing data in Microsoft SQL Server and Microsoft Fabric
Demonstrated experience across the Microsoft Azure ecosystem, including:
- Azure App Service, Azure Functions, Azure SQL
- Cosmos DB
- Azure AI Foundry / Azure OpenAI Service
- Azure DevOps or GitHub Actions
- Microsoft Entra ID
Hands-on experience with Claude Code or comparable agentic AI coding tools (such as Cursor or GitHub Copilot agents), with readiness to adopt Claude Code from day one
Strong written and verbal communication skills, including the ability to translate business requirements into technical solutions
Experience building reports and dashboards in Microsoft Power BI
Experience maintaining or modernizing reports in Crystal Reports, particularly those tied to Spectrum
Exposure to additional AI development capabilities, frameworks, and patterns beyond Claude Code
Interest in or exposure to the AEC (architecture, engineering, and construction) or MEP industry
Self-motivated and detail-oriented; able to manage multiple priorities in a fast-paced environment

Technologies

Microsoft Azure, React, Python, Java
Microsoft SQL Server, Microsoft Fabric
Claude Code, Cursor, GitHub Copilot agents
Crystal Reports, Spectrum
Azure App Service, Azure Functions, Azure SQL, Cosmos DB
Azure AI Foundry, Azure OpenAI Service
Azure DevOps, GitHub Actions
Microsoft Entra ID, Microsoft Power BI

Benefits

Company paid medical, dental, vision, prescription drug, accident & sickness benefit
Basic group life and AD&D
Comprehensive Paid Time Off (PTO) program
401(k) retirement savings plan

Compensation and Additional Notes

Salary range: USD 90,000 - 110,000 per year, commensurate with experience and qualifications
Annual performance based bonus eligibility
Bonus eligibility and payout are determined by role, individual performance, and company performance, and are not guaranteed
No visa sponsorship available for this position

Reasonable Accommodations

If you need assistance or accommodations during the application or interview process, contact ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.

Employment Eligibility

Candidates must have current work authorization in the U.S.
Visa sponsorship is not available for this position

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4d ago

Generative AI Full Stack Developer

Realign LLC Plano, TX

Plano, TX

4d ago

$110k+/yr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

Realign LLC is hiring a Generative AI Full Stack Developer in Plano, TX (onsite) to design and deploy enterprise-grade LLM and agentic AI applications.

Responsibilities

Design and develop GenAI applications using enterprise LLM platforms including Azure OpenAI and related model services
Build agentic AI workflows with LangGraph and LangChain
Develop and optimize Retrieval-Augmented Generation (RAG) for business and technical use cases
Integrate vector databases and semantic search to improve knowledge retrieval accuracy
Build AI copilots, chatbots, virtual assistants, and workflow automation solutions
Apply prompt engineering, evaluation, and tuning to improve AI response quality
Implement Model Context Protocol (MCP) integrations to connect LLM apps with tools, data sources, and business systems
Create reusable AI orchestration patterns for APIs, databases, files, and enterprise knowledge repositories
Design context management, memory, and tool-calling strategies for AI agents
Develop scalable backend services using Python with FastAPI, Flask, or Django
Create RESTful APIs, microservices, and secure integration services
Design, query, and optimize SQL databases for application and reporting needs
Implement authentication, authorization, logging, and secure coding practices
Build responsive web applications and dashboards using React, Next.js, Angular, Vue.js, or similar frameworks
Integrate AI-powered user experiences into enterprise web applications
Collaborate with product, UX, and business teams to deliver intuitive and user-friendly interfaces
Manage and troubleshoot Linux-based application environments
Automate deployment and operational tasks using scripting and CI/CD pipelines
Containerize services using Docker and support deployments on Kubernetes and/or cloud platforms
Monitor production performance, reliability, and security

Requirements

Strong expertise in Generative AI, Agentic AI, and full-stack application development
Hands-on experience designing and deploying enterprise-grade AI solutions using Large Language Models (LLMs), LangChain, LangGraph, and RAG frameworks
Highly proficient in Python, SQL, Linux, REST APIs, and Model Context Protocol (MCP)
Experience integrating AI agents, vector databases, enterprise systems, and cloud services
Strong full-stack skills including React/Next.js, TypeScript, backend API development, microservices, Docker, Kubernetes, and CI/CD
Essential experience with Azure OpenAI, Azure AI Search, cloud-native architectures, secure coding practices, and production deployment of scalable AI solutions
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline
5+ years of software development experience with strong Python and SQL skills
2+ years of hands-on experience building GenAI, LLM, or AI-enabled applications
Experience with LangChain, LangGraph, RAG pipelines, and LLM integration patterns
Strong knowledge of API development, backend services, frontend development, and Linux environments
Ability to design secure, scalable, production-ready enterprise applications

Technologies

Generative AI, Agentic AI, Large Language Models (LLMs)
LangChain, LangGraph, Retrieval-Augmented Generation (RAG)
Python, SQL, Linux
REST APIs, Model Context Protocol (MCP)
React, Next.js, TypeScript, Angular, Vue.js
Docker, Kubernetes, CI/CD pipelines
Azure OpenAI, Azure AI Search
FastAPI, Flask, Django, Microservices
Authentication, Authorization, Logging
Vector databases, Semantic search
Prompt engineering, Evaluation, Tuning
Cloud-native architectures

Required Skills

Cloud Developer
SQL
Application Developer

Salary: USD 110,000 per year

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8d ago

Software Engineer, HR Operations & Systems

Tesla Fremont, CA

Fremont, CA

8d ago

$140k - $210k/yr Full time Backend Developer .NET APIs

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Job Description

Tesla’s HR Operations & Systems team builds the internal technology that powers payroll operations day to day. In this role, you’ll work on end-to-end feature development for Tesla’s Payroll System, supporting pay cycles, discrepancy investigation, and audit and SOX obligations. You’ll ship changes across backend services, REST APIs, and data-rich user interfaces, with a strong focus on correctness, testing, and security where “mostly right” is not acceptable.

What you’ll do

Deliver features from start to finish, including schema and migration, REST API work, and UI updates, rather than handing off tasks between teams
Design RESTful APIs in .NET (C#) using a layering approach from controller to service to repository, with dependency injection throughout
Build data-dense React interfaces in TypeScript, including AG-Grid views and TDS components, using Jotai and React Query for state and server data
Work on audit workflows such as findings triage and security group management, developing capabilities with compliance consequences
Write unit and integration tests alongside the code (test/ unit and integration suites are part of the definition of done)
Participate in code review in both directions

What you’ll bring

5+ years building production backend services in .NET/C#, Python, or Go, with willingness to work primarily in C#
Working experience with React and TypeScript, with comfort owning a feature’s UI in addition to its API
Strong SQL skills, including designing tables, reading an execution plan, and explaining why a query became slow
Testing habits and comfort working with Git-based review workflows
CS fundamentals such as data structures and algorithms you can reason about
Experience integrating LLM APIs (including Azure OpenAI, Claude, or similar) into production backend services
Exposure to RAG pipelines, vector databases, or structured prompt engineering
Ability to ship AI-assisted features in an enterprise application

Compensation

$140,000 - $210,000 per year salary + cash and stock awards + benefits. Pay offered may vary based on individualized factors including market location, job-related knowledge, skills, and experience. The total compensation package may include other elements dependent on the position offered.

Benefits

Medical plans with plan options and $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options and $0 paycheck contribution
Company paid HSA contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D
Short-term and long-term disability insurance with a 90 day waiting period
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, accrued hours for hourly positions) and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Fremont, CA is onsite. Details of participation in benefit plans will be provided if an employee receives an offer of employment.

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1mo ago

Lead Machine Learning Engineer

Motion Recruitment Raleigh, NC

Raleigh, NC

1mo ago Closed

Full time Manager Agentic Ai Ai Agent

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

Motion Recruitment is hiring a Lead Machine Learning Engineer (Raleigh, NC onsite) to drive the architecture of scalable AI/ML and agentic systems for a global LLM-powered research and enterprise assistant platform.

Responsibilities

Architect scalable AI platform capabilities for LLM, ML, and agent-based systems across products
Define reference architecture spanning inference, deployment, monitoring, and system reliability
Design high-availability, low-latency inference platforms for global scale
Establish reusable platform components for model lifecycle, deployment, and monitoring
Architect multi-step, reasoning-driven agent systems
Create orchestration patterns for tool use, API invocation, and structured function calling
Lead implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management
Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems
Set best practices for MLOps, CI/CD, observability, and system reliability
Embed Responsible AI principles across platform architecture
Mentor senior engineers and influence technical direction across teams

Requirements

Experience: 10+ years (Master’s degree) or 12+ years (bachelor degree)
ML at scale: 10+ years building production-grade ML systems at scale
AI fundamentals: extensive experience with LLMs, generative AI, and RAG systems in real-world deployments
Distributed systems: proven expertise designing distributed systems in cloud environments (AWS, Azure, or GCP)
Infrastructure: hands-on experience with Kubernetes, containerization, and scalable inference systems
Agents: experience designing agentic systems and tool orchestration frameworks
MCP / tool calling: experience implementing or governing MCP servers or structured tool-calling architectures
Programming: strong Python engineering background
Retrieval: experience with vector databases and search systems
Quality & reliability: deep understanding of model evaluation, reliability, and monitoring
Architecture: strong architectural judgment and systems thinking
Leadership: demonstrated ability to influence technical direction across teams
Communication: strong communication skills and executive presence
Mentorship: experience mentoring senior engineers or leading cross-functional initiatives

Technologies

LLMs, RAG systems, Python
AWS, Azure, GCP
Kubernetes, containerization
Model Context Protocol (MCP)
Vector databases, search systems
MLOps, CI/CD, observability

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1mo ago

Full Stack Developer

Cincinnati, OH

3mo ago Closed

$100k - $110k/yr Full time Backend Developer API APIs

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