Senior Backend GenAI Software Engineer 773 at Protegrity

Palo Alto, California, United States

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$209,100 – $234,100Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Security, Cybersecurity, AIIndustries

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
Exceptional problem-solving skills, with a focus on secure AI system development
A collaborative mindset to work effectively in cross-functional environments
Strong communication skills to articulate complex AI concepts to diverse audiences

Responsibilities

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

Skills

Key technologies and capabilities for this role

Backend APIMicroservicesGenerative AIGenAILarge Language ModelsLLMsVectorDBRAG pipelinesAI agentsGuardrailsData SecurityCryptographyTokenizationFormat-preserving encryption

Questions & Answers

Common questions about this position

What is the salary range for this Senior Backend GenAI Software Engineer position?

The salary range is $209.1K - $234.1K.

Is this role remote or hybrid, and what are the location requirements?

The position is hybrid.

What skills and experience are required for this role?

Candidates need 12+ years of backend software engineering experience with expertise in GenAI and LLMs, focusing on scaling GenAI solutions, developing GenAI workflows including fine-tuning LLMs, and experience in backend API and micro-services.

What is the company culture like at Protegrity?

Protegrity emphasizes innovation and collaboration at the intersection of AI and data security, offering the chance to work with bright minds, make a meaningful impact, and redefine data safeguarding in the GenAI era.

What makes a strong candidate for this position?

A strong candidate is a driven and curious senior software engineer with 12+ years in backend API and micro-services, strong experience in Generative AI (GenAI) and Large Language Models (LLMs), and a commitment to data security, privacy, and safety.

Protegrity

Data protection solutions for enterprises

About Protegrity

Protegrity specializes in data protection for large enterprises, helping them manage data privacy, governance, and compliance. The company offers solutions such as data encryption and tokenization, which protect sensitive information by replacing it with non-sensitive equivalents. This allows organizations to use their data securely while meeting regulatory requirements. Protegrity generates revenue through service fees and subscriptions for its data protection services and consulting, where experts guide clients on enhancing their data security strategies. With the growing demand for data security due to increasing regulations and the high costs of data breaches, Protegrity is positioned to provide scalable solutions tailored to the needs of large enterprises.

Stamford, ConnecticutHeadquarters

1996Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, Consulting, CybersecurityIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

401(k) Company Match

Risks

Strategic shifts under new CEO may disrupt operations or alienate clients.

Healthcare sector's rising cyber threats challenge Protegrity's data protection reputation.

Delays in sensitive data access could hinder innovation and client satisfaction.

Differentiation

Protegrity offers precision data protection across regions, providers, and applications.

The company enables secure data sharing for business transformation and compliance.

Protegrity's solutions complement zero trust methodologies for enhanced data collaboration.

Upsides

Michael Howard's appointment as CEO could drive innovation and growth for Protegrity.

Protegrity's Borderless Data Solution addresses the need for secure cross-border data flows.

Availability in Microsoft Azure Marketplace expands Protegrity's reach and customer base.

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