Bengaluru, KA, India
Live, first seen by us 38 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead development of AI-powered engineering applications and platforms
Integrate LLMs, RAG systems, vector databases, and agent frameworks into production
Design and build scalable data ingestion and serving pipelines for engineering data
Build backend services and APIs for AI agents and analytics
Develop React.js and TypeScript web applications and dashboards
Lead development of AI-powered engineering applications and platforms.
Integrate LLMs, RAG systems, vector databases, and agent frameworks into production solutions.
Design and implement scalable data ingestion, transformation, and serving pipelines for engineering data.
Build backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems.
Develop modern web applications using React.js and TypeScript.
10+ years of software engineering experience.
Experience developing AI-enabled applications using LLMs, RAG, vector databases, or agent-based architectures.
Strong experience in Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks.
Strong proficiency in Python and backend application development.
Hands-on experience with React.js, TypeScript, HTML, and modern web technologies.
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Day 38
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At Renesas Electronics, jobs usually come down by about day 37.
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- Strong experience in Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks. - Strong proficiency in Python and backend application development. - Hands-on experience with React.js, TypeScript, HTML, and modern web technologies.
- Build backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems. - Develop modern web applications using React.js and TypeScript. - Design data models connecting requirements, architecture, implementation, verification, and sign-off results into a unified engineering knowledge platform.
- Strong proficiency in Python and backend application development. - Hands-on experience with React.js, TypeScript, HTML, and modern web technologies. - Experience building REST APIs, microservices, and distributed systems.
- Experience developing AI-enabled applications using LLMs, RAG, vector databases, or agent-based architectures. - Strong experience in Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks. - Strong proficiency in Python and backend application development.
- Experience with graph databases, knowledge graphs, and engineering knowledge-management systems. - Experience with docker, cloud-native platforms, and workflow orchestration frameworks. Additional Information
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job Summary
Renesas is seeking a Sr Staff Engineer to build AI-powered engineering applications and data platforms that improve semiconductor development productivity, accelerate decision-making, and reduce engineering cycle time.
The ideal candidate will lead the development of scalable full-stack solutions that transform engineering data into actionable insights through AI-driven workflows, analytics, and modern web applications. This role spans data engineering, backend services, AI integration, and React-based user experiences, enabling solutions such as engineering copilots, design exploration agents, workflow automation, and digital-thread platforms.
Job Responsibilities
Lead development of AI-powered engineering applications and platforms.
Integrate LLMs, RAG systems, vector databases, and agent frameworks into production solutions.
Design and implement scalable data ingestion, transformation, and serving pipelines for engineering data.
Build backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems.
Develop modern web applications using React.js and TypeScript.
Design data models connecting requirements, architecture, implementation, verification, and sign-off results into a unified engineering knowledge platform.
Build dashboards, analytics, and workflow automation solutions that improve engineering productivity and reduce cycle time.
Collaborate with Architecture, Design, Verification, and Product Engineering teams to identify and deliver high-impact AI solutions.
Drive technical direction, architecture reviews, and engineering best practices.
Mentor engineers and influence technology strategy across teams.
Qualifications
BS/MS in Computer Science, Electronics, AI/ML, or related field.
10+ years of software engineering experience.
Experience developing AI-enabled applications using LLMs, RAG, vector databases, or agent-based architectures.
Strong experience in Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks.
Strong proficiency in Python and backend application development.
Hands-on experience with React.js, TypeScript, HTML, and modern web technologies.
Experience building REST APIs, microservices, and distributed systems.
Strong software design, problem-solving, and communication skills.
Demonstrated technical leadership and mentoring experience.
Nice-to-Have
Experience with semiconductor design flows, EDA tools, or engineering productivity platforms.
Familiarity with physical design, verification, PPA analysis, or silicon development workflows.
Experience with graph databases, knowledge graphs, and engineering knowledge-management systems.
Experience with docker, cloud-native platforms, and workflow orchestration frameworks.
Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’
At Renesas, you can:
Are you ready to own your success and make your mark?
Join Renesas. Let’s Shape the Future together.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
Are you ready to join our team and shape the future with us?
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
Are you ready to join our team and shape the future with us?
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.
Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.
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Bengaluru, KA, India
- Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. - Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark?
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