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Lead Python Software Engineer - Gen AI Products and Platform Jobs

139 Job Offers

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Machine Learning Engineer - AWS
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United Kingdom , Bristol
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Plusnet
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AI Automation Application Development Lead, Vice President
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United States , Irving, Texas
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125760.00 - 188640.00 USD / Year
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Citi
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Senior Software Engineer
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United States , Multiple Locations
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119800.00 - 234700.00 USD / Year
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Microsoft Corporation
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Solutions Architect Manager
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United States
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Glean
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Lead Quality Assurance
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India , Bangalore
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Glean
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Principal Engineer, Applied AI
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India , Bengaluru; Pune
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Barclays
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Software Developer Summer Intern
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China , Shanghai
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Optiver
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Data Science & AI Specialist
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United Kingdom , London
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Plusnet
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Solutions Architect
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United Kingdom
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Bloomreach
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Principal Software Engineering Manager - M365 Copilot App
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United States , Mountain View
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139900.00 - 274800.00 USD / Year
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Microsoft Corporation
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Platform Engineer
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France , Paris; Bordeaux
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Mirakl
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Platform Engineer - Go/Java
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France , Paris
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Mirakl
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Staff LLM Engineer
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Argentina , Buenos Aires
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GoFundMe
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Lead Machine Learning Engineer
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United States , San Francisco; McLean; New York; San Jose
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197300.00 - 245600.00 USD / Year
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Capital One
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Tech Lead, Trust & Safety
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Finland; United Kingdom , Helsinki; London
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Supercell
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Senior GenAI Application Engineer (Python)
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United States , Irving
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107120.00 - 160680.00 USD / Year
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Citi
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Senior Endpoint Security Engineer
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United States , Seattle; Bellevue
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135000.00 - 180000.00 USD / Year
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Truveta
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Member of Technical Staff, Cloud Infrastructure
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United States , New York, NY; San Mateo, CA; Redwood City, CA
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175000.00 - 220000.00 USD / Year
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Fireworks AI
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Senior Quality Analyst
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India , Pune
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Citi
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Lead Python Software Engineer - Gen AI Products and Platform jobs represent a pivotal and cutting-edge career path at the intersection of advanced software development and artificial intelligence. Professionals in this role are the technical architects and team leaders responsible for building, scaling, and maintaining the robust platforms that power generative AI applications. This is not a peripheral role; it is central to transforming innovative AI research into reliable, high-performance products used by millions. A typical day involves leading a team of skilled engineers in the design and implementation of complex software systems. Common responsibilities include architecting scalable backend services and APIs using Python frameworks like FastAPI or Django, optimizing data pipelines for massive datasets used in training and inference, and ensuring the overall system's reliability, security, and performance. These engineers are deeply involved in the entire AI product lifecycle, from conceptualization and prototyping to deployment and continuous monitoring in production environments. They make critical decisions on technology stacks, microservices architecture, and cloud infrastructure (such as AWS, GCP, or Azure) to support the demanding computational needs of large language models and other generative AI models. The skill set required for these jobs is both deep and broad. Mastery of Python is a given, coupled with extensive experience in software engineering best practices, design patterns, and system design. A strong understanding of the generative AI ecosystem—including frameworks like LangChain, vector databases, and model fine-tuning techniques—is highly valuable. Leadership and communication skills are paramount, as these engineers must mentor team members, collaborate effectively with data scientists and ML engineers, and articulate technical vision to stakeholders. They are problem-solvers who can navigate the unique challenges of AI systems, such as latency reduction, cost optimization, and managing model drift. Ultimately, individuals searching for Lead Python Software Engineer - Gen AI Products and Platform jobs are seasoned technical leaders eager to shape the future of AI. They are driven by the challenge of creating the foundational technology that enables groundbreaking AI capabilities, leading talented teams, and delivering tangible value through scalable software solutions. This career offers the opportunity to be at the forefront of technological innovation, building the platforms that will define the next generation of intelligent applications.

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