Generative Ai Engineer Jobs

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy. Role Description: We are looking for a Lead AI Engineer to join our Capco AI Lab and help design and build production-grade AI solutions for our clients. This is a senior , hands-on engineering role for someone with a strong software engineering background who has developed deep expertise in Generative and Agentic AI. You will make technical and architectural decisions, guide other engineers and, importantly, continue to write and review production code yourself . You will work on complex AI systems covering LLM orchestration, AI agents, RAG, tool and function calling, evaluation and observability, taking solutions from early prototypes through to scalable production environments. The role also involves working directly w

Job Details: Job Description: The Role and Impact Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms. Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide. This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally. What You Will Do Key responsibilities will include but not limited to: Enable, validate, benchmark, and optimize AI models on Intel platforms. Analyze model performance and identify optimization opportunities. Debug issues across AI frameworks, software stacks, and hardware platforms. Develop and execute tests to ensure model functionality, accuracy, and performance. Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges. Utilize AI-assisted development tools to improve engineering productivity. Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects. Work effectively with globally distributed engineering teams. Behavioral traits that we are looking for: Curiosity and Learning Agility: Demonstrates a passio

Job Details: Job Description: Why Join Us Join a team shaping the future of AI on Intel platforms. You will work on cutting-edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next-generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry-leading AI performance and enabling the next generation of AI applications. Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high-performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms. You will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction. What You’ll Do Key responsibilities will include but not limited to: Lead optimization initiatives for AI inference workloads on Intel GPUs. Define and drive performance optimization strategies across compilers, runtimes, and GPU kernels. Architect software solutions that improve scalability, efficiency, and performance. Profile, benchmark, and analyze complex AI workloads to identify system bottlenecks. Influence hardware and software co-design decisions through performance characterization and workload analysis. Drive cross-functional technical initiatives spanning architecture, compiler, framework, and r

P-1377 Mission As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. The Impact You Will Have Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embedd

We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Staff Machine Learning Engineer on our AI Product team to build and ship customer-facing AI for 600,000+ business customers. You'll combine Generative AI with proven machine-learning techniques to create products with measurable impact — adoption, faster task completion, user satisfaction — while ensuring reliability, privacy, and continuous monitoring in production. ➡️ What you'll do Develop ML models end-to-end: From understanding product requirements to training, evaluating, and deploying models in production. You design, iterate, and ship — not just prototype. Integrate ML into the product ecosystem: Align with Product Managers, Data Engineers, and Backend Engineers to ensure your models are seamlessly embedded in Qonto's financial services.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. What You'll Do Architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability. Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns. Design and optimize Vector RAG & GraphRAG: retrieval, semantic search, grounding, citation, graph traversal, and context engineering. Deliver technology-agnostic hybrid architecture: across AWS, GCP, Kubernetes, and on-prem/distributed data platforms. Partner across engineering, manufacturing, product, validation, and data teams; lead PoCs, mentor, and set standards. What You Bring (Required) Bachelor's or equivalent experience in CS, AI, Data Science, or a related field; 8+ years in software/AI-ML, enterprise, platform, or knowledge engineering. Validated delivery of enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions. Hands-on Python plus agentic framewo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Where Data Does More. Join the Snowflake team. Snowflake is seeking an entrepreneurial and visionary engineering leader to build and scale our new AI Solutions team. As the Director of Engineering for AI Enterprise , you will be at the forefront of the generative AI revolution, leading a world-class engineering organization that designs and implements cutting-edge solutions on the AI Data Cloud. This is a critical, high-impact leadership role where you will partner with the world's largest companies to solve their most complex challenges and unlock transformative business value using Snowflake's powerful Cortex AI Platform. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Recruit, mentor, and scale a high-performing, global engineering organization. Foster a culture of innovation, ownership, and engineering excellence. Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals. Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML. Own the end-to-end implementation of the AI Solutions product line, from initial concept to enterprise-grade production deployments. Act as the senior engineering authority in cu

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Elastic IT team is shifting beyond standard chat interfaces to craft the next frontier of generative and agentic AI experiences. We are looking for an innovative UX & Front End Engineer to join our team to bridge the gap between powerful AI capabilities and intuitive, delightful user interfaces that accelerate productivity across the entire organization. Our ideal candidate is a skilled front-end engineer with hands-on experience designing and building AI user experiences (e.g., streaming text, dynamic prompt workflows, agent reasoning visualizations, and multi-modal interaction patterns). In this role, you will leverage the latest AI technologies and the Elastic Stack (including ESRE, Agent Builder, Workflows and eUI) to build high-performance front-end applications for a suite of internal products and platforms. Driven by a user-centered mindset, you will act as a key collaborator between AI back-end engineers, product managers, and user groups to turn complex AI reasoning into seamless human-AI interactions. By shaping how enterprise users interact with generative AI, you will enable our global workforce while showcasing the boundary-pushing capabilities of Elastic's products. Are you ready to design and build the interfaces that supercharge enterprise productivity and prove what’s possible with Elastic?

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Bendemeer, Singapore Department Assembly, Process and Equipment Engineering Project Title Assembly Output and Yield Optimization for Cost Improvement Project Description The Assembly Process and Equipment Engineering Intern will undertake an engineering project focused on improving assembly output, process yield, product quality, and manufacturing cost. Under the guidance of experienced engineers, the intern will study semiconductor assembly processes and apply engineering methodologies to identify process variations, analyze potential failure modes, and evaluate improvement opportunities. The project will include experimental planning, engineering data collection, statistical analysis, and effectiveness monitoring. The intern will also explore how data analytics, Generative AI, and Agentic AI can improve engineering analysis, technical documentation, and problem-solving workflows. Objective of the Project Identify assembly process factors that influence output, yield, product quality, reliability, and manufacturing cost. Apply structured engineering methods to investigate selected process or equipment-related opportunities.<

About the Role Together AI is building the AI Native Cloud — an end-to-end platform for generative AI lifecycle, integrating fast, reliable inference, and model-shaping services with cutting-edge AI cloud infrastructure. We are looking for a seasoned Senior Technical Recruiter to partner closely with AI Research and Engineering leadership to scale world-class research teams across kernels, inference optimization, applied AI and model shaping. This role is ideal for someone who understands the unique dynamics of recruiting top-tier AI researchers and research engineers in a highly competitive market and can operate as a strategic talent partner to technical leadership. Responsibilities Partner with executives, research leadership, and hiring managers to define and execute hiring strategies Lead full-cycle recruiting for specialized AI talent, including researchers, research engineers, applied scientists, and ML systems engineers Build and nurture relationships with top AI talent across academia, open-source communities, research labs, and industry networks Drive exceptional candidate experiences from initial engagement through offer close, with a strong focus on relationship building and long-term talent cultivation Provide market intelligence on AI talent trends, compensation, competitive hiring landscapes, and emerging research organizations to influence hiring strategy and organizational planning Collaborate cross-functionally with sourcing, coordination, people operations, and leadership teams to continuously improve recruiting processes and operational excellence Design and refine interview processes tailored for research hiring, including technical evaluations, publication reviews, and research presentation loops Requirements 5+ years of technical recruiting experience at high-growth technology companies, with a proven track record hiring exceptional AI researchers, research engineers, applied scientists, or ML infrastructure talent at leading AI labs, hyper-sc

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:bfbd7b36-730d-452d-b04b-ad085c306854-0" data-testid="conversation-turn-2" data-scroll-anchor="true" data-turn="assistant"> Join our talent community to stay updated on the latest happenings at Sigmoid, as well as in the broader Data & AI space. Note: By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

Machine Learning Development Intern Description - Description: The main objective of this internship program is to train and develop students to contribute to cutting-edge projects in Machine Learning (ML), and Generative AI (GenAI). Interns will take responsibility for key aspects of ongoing projects, gaining hands-on experience in ML model development and deployment. They will be involved in training, collaborative work, and practical tasks aimed at enhancing their skills in a corporate environment focused on innovation in AI. Role: Support the development of ML models, with a focus on Generative AI and Prompt Engineering; Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality for AI-driven applications; Collaborate with engineers and data scientists to understand project requirements and provide solutions for building and deploying AI-based chatbots and applications; Participate in technical meetings and brainstorming sessions to improve model performance; Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques; Help document the development process, maintaining quality standards and best practices in model iteration and deployment. Qualifications: Students in Computer Science / Data Science / Machine Learning / Artificial Intelligence / Engineering or related fields from the 2nd semester onwards; Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures; Strong interest in Generative AI, chatbot development, and prompt engineering; Basic experience with Python, TensorFlow, PyTorch, or other ML frameworks; Curiosity about cloud computing, large language models (LLMs), and AI-driven soluti