Senior/Staff Software Engineer - GenAI Incubation
Ironclad$190,000 - $240,000/year
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
$220,000 – $244,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Data Security, AI & Machine LearningIndustries
Requirements
Candidates should possess 12+ years of experience in backend software engineering with expertise in GenAI and LLM, complemented by a focus on scaling GenAI solutions. They should have expertise in developing and maintaining GenAI workflows, including fine-tuning LLMs, embedding and vector databases, RAG workflows, and prompt engineering techniques. Strong programming skills in Python are required, along with experience in cloud environments such as AWS, Google Cloud, or Azure. Familiarity with version control tools, CI/CD pipelines, and DevOps practices is also necessary, as well as a solid understanding of software development best practices and Agile methodologies.
Responsibilities
As a Director Software Engineering, the candidate will design and develop high-quality, scalable software products supporting customer’s security, safety, and privacy of GenAI and LLM-based systems with advanced guardrail capabilities. They will integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into the delivery of product features. The role involves developing state-of-the-art guardrails and systems leveraging agent workflows and tooling to support safety and security of GenAI. They will also develop, test, and maintain robust container based and microservice API architectures, monitor and debug production issues, participate in code reviews, and contribute to team best practices. Furthermore, the candidate will 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, and evaluate and integrate open-source tools and third-party platforms to accelerate product development.
Skills
Backend API
Micro-services
Generative AI
Large Language Models
Data Security
Privacy
Scalability
VectorDB
RAG pipelines
AI integration
Security guardrails
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