Role SummaryAs a Senior Software Engineer specializing in agentic applications, you will be a key technical leader and influential voice in shaping our GenAI platform's architecture and strategy. You will play a pivotal role in integrating LLMs with our internal and customer-facing applications at scale. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also pioneer and evangelize best practices in building resilient, scalable, and observable distributed systems, ensuring the creation of production-grade tools that are scalable, reliable, and maintainable across the organization.
Responsibilities- Architect Design of Agentic Systems: Architect and lead the development of highly scalable and sophisticated intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.
- Shape LLM Integration Strategy: In partnership with your peers, help define and drive the technical vision and long-term strategy for integrating LLMs with our evolving software ecosystem, ensuring robust, scalable, and maintainable communication and data exchange.
- Drive the Cognitive Automation Roadmap: Collaborate with product managers and other technical leaders to identify and prioritize high-impact opportunities for cognitive automation. Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy system-wide.
- Champion Scalable System Design: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for our most critical machine learning-powered tools and applications.
- Establish and Uphold Engineering Best Practices: Define, implement, and enforce industry-leading standards for building production-grade, distributed machine learning solutions, ensuring scalability, reliability, and maintainability.
- Drive Technical Consensus and Influence Direction: Continuously research and experiment with emerging trends in machine learning, AI agents, and distributed systems.
- Collaborate and Lead Cross-Functionally: Work closely with Machine Learning engineers, product teams, and senior leadership to gather requirements, define project scope, and deliver impactful solutions. Drive technical alignment across multiple teams.
- Mentor and Develop Technical Talent: Share your expertise and provide guidance to senior engineers and technical leads, fostering a culture of technical excellence, innovation, and continuous learning.
Qualifications- Advanced Degree: Bachelor's, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proven Experience: 8+ years of hands-on experience in software engineering, with a deep focus on designing and building large-scale distributed systems. Extensive, hands-on experience in building and deploying complex agentic applications leveraging LLMs in production environments.
- Strong Technical Skills: Expertise in Golang is strongly preferred. Proficiency in Python or similar programming languages, as well as deep expertise with cloud and container frameworks such as AWS and Kubernetes. A proven track record of designing and building highly scalable, fault-tolerant, and observable distributed systems.
- Deep Understanding: Expert-level grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices for distributed systems.
- Production Experience: Demonstrated success in leading the design, deployment, and operation of scalable backend software in high-stakes production environments.
- Collaborative Spirit and Technical Leadership: Excellent communication and teamwork skills, with a proven ability to influence, build consensus with senior engineering peers, and align cross-functional teams and senior stakeholders on complex technical decisions.
- Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to solve impactful business challenges at scale.
Total RewardsTotal compensation packages for full-time positions include base salary, eligibility for an annual performance bonus, and eligibility for equity.
In addition, our benefits package has been designed to support the health and wellness of our employees. For more information on RV Tech's comprehensive benefits package for full-time employees, check out our Global Benefits Site.
External candidates can apply for this role through the RV Tech Careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board
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