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Senior AI Applications Engineer
 
                        Posted today
Job Viewed
Job Description
**Essential Skills**
+ Proficiency in programming languages relevant to AI (e.g., Python, Java).
+ Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
+ Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
+ Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
+ Excellent written and verbal communication skills.
+ Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
**Qualifications**
**Required:**
+ Bachelor's degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
+ At least 1 year of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered).
+ Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
**Preferred:**
+ Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline.
+ Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling.
+ Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
+ Experience in developing and deploying enterprise-grade AI solutions.
+ Familiarity with DevOps practices and tools for CI/CD.
**Responsibilities**
**Key Responsibilities**
+ Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation (RAG), Model context protocol (MCP), Large Language Models).
+ Apply classical AI techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending.
+ Participate in system planning, scheduling, and implementation for enterprise-scale AI applications.
+ Build new product features and/or enhance existing features to automate complex business flows and operations.
+ Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
+ Ensure application scalability, reliability, and performance in a cloud environment.
+ Contribute to best practices for development, testing, and deployment of AI applications.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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                    Senior AI Applications Engineer
 
                        Posted today
Job Viewed
Job Description
**Essential Skills**
+ Proficiency in programming languages relevant to AI (e.g., Python, Java).
+ Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
+ Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
+ Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
+ Excellent written and verbal communication skills.
+ Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
**Qualifications**
**Required:**
+ Bachelor's degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
+ At least 1 year of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered).
+ Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
**Preferred:**
+ Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline.
+ Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling.
+ Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
+ Experience in developing and deploying enterprise-grade AI solutions.
+ Familiarity with DevOps practices and tools for CI/CD.
**Responsibilities**
**Key Responsibilities**
+ Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation (RAG), Model context protocol (MCP), Large Language Models).
+ Apply classical AI techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending.
+ Participate in system planning, scheduling, and implementation for enterprise-scale AI applications.
+ Build new product features and/or enhance existing features to automate complex business flows and operations.
+ Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
+ Ensure application scalability, reliability, and performance in a cloud environment.
+ Contribute to best practices for development, testing, and deployment of AI applications.
Career Level - IC3
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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                    Senior Manager AI Applications
 
                        Posted today
Job Viewed
Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What You'll Do**
As the Senior Manager AI Applications, you will serve as a leader who drives the vision, execution, and growth of Teradata's AI Applications Portfolio. Acting as a "mini-CEO," you will operate with end-to-end accountability across the transformation of the Apps space through the AI transformation.
In this role you will lead a critical and highly visible team within Teradata AI Applications Platform. As an Agentic AI Leader at Teradata, you'll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
As a hands-on leader you will work with a team of highly skilled AI engineers to design and implement autonomous AI agents for enterprise level use cases supporting varied industry applications, like customer 360, real-time decisioning, semantic search, text-to-SQL translation, and analytical task execution.
You'll work alongside high-caliber teams of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software.
If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
**Who You'll work with**
You'll collaborate with a world-class team of AI architects, engineers, and domain experts in **Silicon Valley** , working together to build the next generation of enterprise AI systems.
You'll also work cross-functionally with:
+ Product managers and UX designers working to craft agentic workflows that are intuitive and impactful.
+ Domain specialists to ensure solutions align with real-world business problems in regulated industries.
+ Infrastructure and platform teams responsible for training, evaluation, and scaling AI workloads.
This is a rare opportunity to shape foundational AI capabilities within a global, data-driven company.
This is a deeply collaborative environment where technical innovation meets real-world application, where your ideas are not only heard but implemented to shape the next generation of data interaction.
**What Makes You a Qualified Candidate**
+ 8+ years of progressive experience in technology leadership, including at least 2 years focused on AI/ML, intelligent systems, or agent-based architectures.
+ Over 5 years of management experience leading strong engineering teams.
+ Deep understanding of software design principles and scalable architecture patterns.
+ Strong experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agentic frameworks (e.g., AutoGen, LangGraph, AgentBuilder, CrewAI).
+ Proven ability to build complex multi-step workflows using prompt pipelines, tools, and adaptive reasoning.
+ Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy.
+ Experience leading AI projects from inception to deployment in a production setting.
+ Strong Java (or similar programming languages like Go, etc) programming skills with solid understanding of data structures. Proficient in concepts like Multithreading.
+ Good knowledge of SQL and Relational Database Management Systems (RDBMS).
**What You'll Bring**
+ BS or MS degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
+ A solid foundation in software engineering principles, including system design, data structures, algorithms, and distributed computing.
+ Proven ability to work in a fast-paced, innovation-driven environment where engineers take full ownership from concept to deployment.
+ Experience deploying and operating intelligent systems in production environments with live users and evolving requirements.
+ Curiosity, creativity, and the mindset of a builder - someone who thrives at the intersection of **AI research and real-world impact** .
+ Desire to help shape the future of software agents by building scalable, reliable, and intelligent backends that unlock new capabilities in autonomy and adaptability.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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                    Junior Data Scientist - AI Applications
Posted 17 days ago
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Job Description
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                    Principal Full-Stack Software Engineer - AI Applications
Posted 14 days ago
Job Viewed
Job Description
Principal Full-Stack Software Engineer - AI Applications
Bangalore
Founded in 2023,by Industry veterans HQ in California,US
- We are revolutionizing sustainable AI compute through intuitive software with composable silicon
Principal Full-Stack Software Engineer - AI Applications
Overview:
You will design and build end-to-end AI applications that bring multimodal large-model intelligence (text, image, audio, and video) to users directly through the browser - entirely locally on our AI appliance. Your work will bridge high-performance inference systems with beautiful, intuitive user experiences that feel cloud-class but run offline with zero data sharing.
Key Responsibilities:
1. End-to-End Application Development
- Architect and develop browser-based interfaces that interact seamlessly with local inference APIs for LLMs, diffusion models, and speech/video pipelines.
- Build intuitive UIs for multimodal interactions - chat with voice input, document upload, image generation, or video analysis - powered by local AI.
- Develop backend services and REST/gRPC/WebSocket APIs that connect user interfaces with underlying ML inference engines.
2. System Integration
- Collaborate closely with ML and DevOps engineers to integrate optimized inference pipelines into user-facing apps.
- Design real-time data flow between modalities (e.g., speech-to-text → LLM → image generation).
- Handle efficient local caching, model loading, and concurrent request management for responsive UX.
3. Performance & Scalability
- Optimize front-end rendering and data transfer for sub-second multimodal interactions (e.g., token streaming, progressive rendering).
- Implement asynchronous I/O and event-driven backends for high concurrency and low latency.
- Profile and tune browser and backend performance under multimodal workloads.
4. UX/UI for AI Interactions
- Prototype and refine AI-native UI patterns (real-time chat streaming, voice controls, dynamic image panels, etc).
- Collaborate with designers to make complex AI capabilities intuitive and accessible.
- Conduct user testing and feedback loops to ensure the experience feels fast, private, and premium.
5. Reliability, Security & Local Privacy
- Implement strong sandboxing, local data storage, and access controls to ensure user data never leaves the appliance.
- Maintain robust CI/CD pipelines for frequent local software updates.
- Ensure fail-safe handling of multimodal data (e.g., secure local video/audio processing).
Required Qualifications:
- 10+ years of experience in full-stack web application development.
- Proficiency in modern front-end frameworks (React, Next.js, Svelte, or Vue) and TypeScript/JavaScript.
- Strong backend experience in Python (FastAPI/Flask), Node.js, Go, or Rust.
- Deep understanding of real-time web technologies - WebSockets, WebRTC, event streams, and async APIs.
- Experience interfacing with AI/ML backends via REST or gRPC APIs.
- Strong grounding in systems programming concepts - memory management, concurrency, and performance optimization.
- Comfortable with Linux, Docker, and command-line tools for local development and deployment.
Preferred Qualifications:
- Experience building apps that integrate LLMs, text-to-image, or speech models.
- Familiarity with multimodal data handling - audio/video streaming, file parsing, camera/mic APIs.
- Exposure to WebGPU, WebAssembly, or other browser-based acceleration techniques.
- Understanding of edge or local-first architectures and offline data persistence.
- Design sensitivity - ability to prototype clean, modern interfaces for AI interactions.
 
Contact:
Uday
Mulya Technologies
"Mining The Knowledge Community"
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                    Principal Full-Stack Software Engineer - AI Applications
Posted 14 days ago
Job Viewed
Job Description
Principal Full-Stack Software Engineer - AI Applications
Bangalore
Founded in 2023,by Industry veterans HQ in California,US
- We are revolutionizing sustainable AI compute through intuitive software with composable silicon
Principal Full-Stack Software Engineer - AI Applications
Overview:
You will design and build end-to-end AI applications that bring multimodal large-model intelligence (text, image, audio, and video) to users directly through the browser - entirely locally on our AI appliance. Your work will bridge high-performance inference systems with beautiful, intuitive user experiences that feel cloud-class but run offline with zero data sharing.
Key Responsibilities:
1. End-to-End Application Development
- Architect and develop browser-based interfaces that interact seamlessly with local inference APIs for LLMs, diffusion models, and speech/video pipelines.
- Build intuitive UIs for multimodal interactions - chat with voice input, document upload, image generation, or video analysis - powered by local AI.
- Develop backend services and REST/gRPC/WebSocket APIs that connect user interfaces with underlying ML inference engines.
2. System Integration
- Collaborate closely with ML and DevOps engineers to integrate optimized inference pipelines into user-facing apps.
- Design real-time data flow between modalities (e.g., speech-to-text → LLM → image generation).
- Handle efficient local caching, model loading, and concurrent request management for responsive UX.
3. Performance & Scalability
- Optimize front-end rendering and data transfer for sub-second multimodal interactions (e.g., token streaming, progressive rendering).
- Implement asynchronous I/O and event-driven backends for high concurrency and low latency.
- Profile and tune browser and backend performance under multimodal workloads.
4. UX/UI for AI Interactions
- Prototype and refine AI-native UI patterns (real-time chat streaming, voice controls, dynamic image panels, etc).
- Collaborate with designers to make complex AI capabilities intuitive and accessible.
- Conduct user testing and feedback loops to ensure the experience feels fast, private, and premium.
5. Reliability, Security & Local Privacy
- Implement strong sandboxing, local data storage, and access controls to ensure user data never leaves the appliance.
- Maintain robust CI/CD pipelines for frequent local software updates.
- Ensure fail-safe handling of multimodal data (e.g., secure local video/audio processing).
Required Qualifications:
- 10+ years of experience in full-stack web application development.
- Proficiency in modern front-end frameworks (React, Next.js, Svelte, or Vue) and TypeScript/JavaScript.
- Strong backend experience in Python (FastAPI/Flask), Node.js, Go, or Rust.
- Deep understanding of real-time web technologies - WebSockets, WebRTC, event streams, and async APIs.
- Experience interfacing with AI/ML backends via REST or gRPC APIs.
- Strong grounding in systems programming concepts - memory management, concurrency, and performance optimization.
- Comfortable with Linux, Docker, and command-line tools for local development and deployment.
Preferred Qualifications:
- Experience building apps that integrate LLMs, text-to-image, or speech models.
- Familiarity with multimodal data handling - audio/video streaming, file parsing, camera/mic APIs.
- Exposure to WebGPU, WebAssembly, or other browser-based acceleration techniques.
- Understanding of edge or local-first architectures and offline data persistence.
- Design sensitivity - ability to prototype clean, modern interfaces for AI interactions.
 
Contact:
Uday
Mulya Technologies
"Mining The Knowledge Community"
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                    Senior .Net Full Stack Developer - AI Applications (C#, .NET, Angular, GCP, DevOps, Microservices)
 
                        Posted today
Job Viewed
Job Description
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**Job Summary:**
We are seeking a highly experienced and innovative **Senior .NET Full Stack Developer** to lead the development of AI-driven applications. This role involves designing and building scalable, cloud-native solutions that integrate advanced AI capabilities. The ideal candidate will have strong expertise in both front-end and back-end development, cloud platforms (preferably GCP), and a passion for creating intelligent, data-driven user experiences.
**Key Responsibilities:**
+ Lead the design and development **of full-stack AI applications** using .NET technologies.
+ Build intuitive and responsive UIs using **Angular** and ExtJs for AI-powered features.
+ Develop **robust backend services and APIs** to support AI models and data pipelines.
+ Collaborate with Data Scientists and AI Engineers to integrate ML models into applications.
+ Architect and implement microservices and cloud-native solutions on **GCP or Azure** .
+ Ensure performance, scalability, and security of AI applications.
+ Drive **DevOps** practices including CI/CD pipelines, containerization, and automated testing.
+ Mentor junior developers and contribute to technical leadership and code quality.
+ Stay current with emerging AI technologies and development frameworks.
**Primary Skills (Must Have):**
+ Strong proficiency in **C#, .NET Core** , and **ASP.NET MVC/Web API** .
+ Hands-on experience with **Angular** and **ExtJs** for modern web development.
+ Expertise in **SQL Server** and data modeling.
+ Experience with **RESTful APIs** , **microservices architecture** , and **event-driven systems** .
+ Familiarity with **AI/ML integration** in applications (e.g., model serving, inference pipelines).
+ Proficient in **GCP** (preferred) or **Azure** for cloud-native development.
+ Strong DevOps skills: **CI/CD** , **Docker** , **Kubernetes** , **Git** , and **IaC tools** .
+ Unit testing frameworks: **XUnit/NUnit** , mocking libraries.
**Secondary Skills (Good to Have):**
+ Experience with **GCP services** : GKE, Apigee, BigQuery, Vertex AI, Spanner.
+ Exposure to **AI/ML lifecycle tools** : MLFlow, TensorFlow Serving, etc.
+ Knowledge of **PowerBI** or other data visualization tools.
+ Agile methodologies (Scrum), Jira, Confluence.
**Qualifications:**
+ **Education** : Bachelor's or Master's in Computer Science, Information Technology, or related field.
+ **Experience** : Minimum **5+ years** in .NET Full Stack development, with at least **2 years** in AI application projects.
+ **Certifications** : GCP Developer, Azure Developer, or AI/ML-related certifications preferred.
+ **Soft Skills** : Strong analytical thinking, excellent communication, leadership, and collaboration skills.
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
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Senior .Net Full Stack Developer - AI Applications (C#, .NET, Angular, GCP, DevOps, Microservices)
 
                        Posted today
Job Viewed
Job Description
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**Job Summary:**
We are seeking a highly experienced and innovative **Senior .NET Full Stack Developer** to lead the development of AI-driven applications. This role involves designing and building scalable, cloud-native solutions that integrate advanced AI capabilities. The ideal candidate will have strong expertise in both front-end and back-end development, cloud platforms (preferably GCP), and a passion for creating intelligent, data-driven user experiences.
**Key Responsibilities:**
+ Lead the design and development **of full-stack AI applications** using .NET technologies.
+ Build intuitive and responsive UIs using **Angular** and ExtJs for AI-powered features.
+ Develop **robust backend services and APIs** to support AI models and data pipelines.
+ Collaborate with Data Scientists and AI Engineers to integrate ML models into applications.
+ Architect and implement microservices and cloud-native solutions on **GCP or Azure** .
+ Ensure performance, scalability, and security of AI applications.
+ Drive **DevOps** practices including CI/CD pipelines, containerization, and automated testing.
+ Mentor junior developers and contribute to technical leadership and code quality.
+ Stay current with emerging AI technologies and development frameworks.
**Primary Skills (Must Have):**
+ Strong proficiency in **C#, .NET Core** , and **ASP.NET MVC/Web API** .
+ Hands-on experience with **Angular** and **ExtJs** for modern web development.
+ Expertise in **SQL Server** and data modeling.
+ Experience with **RESTful APIs** , **microservices architecture** , and **event-driven systems** .
+ Familiarity with **AI/ML integration** in applications (e.g., model serving, inference pipelines).
+ Proficient in **GCP** (preferred) or **Azure** for cloud-native development.
+ Strong DevOps skills: **CI/CD** , **Docker** , **Kubernetes** , **Git** , and **IaC tools** .
+ Unit testing frameworks: **XUnit/NUnit** , mocking libraries.
**Secondary Skills (Good to Have):**
+ Experience with **GCP services** : GKE, Apigee, BigQuery, Vertex AI, Spanner.
+ Exposure to **AI/ML lifecycle tools** : MLFlow, TensorFlow Serving, etc.
+ Knowledge of **PowerBI** or other data visualization tools.
+ Agile methodologies (Scrum), Jira, Confluence.
**Qualifications:**
+ **Education** : Bachelor's or Master's in Computer Science, Information Technology, or related field.
+ **Experience** : Minimum **5+ years** in .NET Full Stack development, with at least **2 years** in AI application projects.
+ **Certifications** : GCP Developer, Azure Developer, or AI/ML-related certifications preferred.
+ **Soft Skills** : Strong analytical thinking, excellent communication, leadership, and collaboration skills.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
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                    Lead AI Researcher - Machine Learning Applications
Posted 25 days ago
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Job Description
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                    Remote Lead Data Scientist - AI & Machine Learning Applications
Posted 1 day ago
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Job Description
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