Tech Lead Java designing and developing backend solutions while leading a technical team in an agile environment. Joining Capgemini's Agile Delivery Center in Spain to collaborate on international projects.
About the role
- Senior Backend Software Engineer focusing on designing and maintaining GenAI software solutions at Protegrity. Collaborating with teams to ensure secure and scalable data protection innovations.
Responsibilities
- As a key technical leader, you will collaborate closely with other software engineers, product teams, AI researchers, and security specialists to deliver enterprise-grade software products and features for safe, secure, and private consumption of GenAI.
- Design and develop high-quality, scalable software products supporting our customer’s security, safety, and privacy of GenAI and LLM-based systems with advanced guardrail capabilities.
- Integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into the delivery of our product features on Kubernetes based architectures.
- Develop state of the art guardrails and systems leveraging agent workflows and tooling to support safety and security of GenAI.
- Develop, test, and maintain robust container based and microservice API architectures.
- Monitor, debug, and troubleshoot production issues.
- Participate in code reviews and contribute to team best practices.
- Stay at the forefront of industry trends in GenAI tooling, cloud-native solutions, and software development practices, applying insights to improve product capabilities.
- Collaborate with AI researchers and product teams to integrate advanced GenAI and LLM capabilities into production-grade software systems.
- Evaluate and integrate open-source tools and third-party platforms to accelerate product development.
Requirements
- 12+ years of experience in backend software engineering with expertise in GenAI and LLM, and a focus on scaling GenAI solutions.
- Expertise developing and maintaining GenAI workflows including fine-tuning LLMs, embedding and vector databases, RAG workflows, and prompt engineering techniques.
- Experience developing and scaling cloud solutions using APIs, containers and microservice architectures with Kubernetes, Docker, Helm, etc.
- Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.
- Strong programming skills in Python with experience in cloud environments (e.g., AWS, Google Cloud, Azure).
- Experience with large-scale unstructured data processing, including NLP, computer vision, or multimodal AI applications.
- Familiarity with version control tools, CI/CD pipelines and DevOps practices.
- Solid understanding of software development best practices, including Agile methodologies.
Benefits
- Health Benefits (Health/Dental/Vision)
- Paid Time Off (PTO)
- 401K
- Annual Bonus Incentives
- Short and Long Term Disability
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