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Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations address operational risk proactively by unifying data, increasing workforce engagement, and proactively managing risk. Novara’s combination of training, software, and tools puts people and safety first while protecting critical operations.
Position Description:
The Flex platform helps clients develop a comprehensive compliance program, leveraging technology to instill a culture of safety and maintain a productive workplace. The platform combines features that are tailored to the needs of our client’s business, including audits and inspections, incident management, flexible training, and reporting and insights.
As a member of our development team, the Senior Software Engineer I, II or III will play a key role in delivering modern, AI-powered product functionality. The successful candidate will build product capabilities powered by LLM workflows which empower clients to keep their team safe and manage risk.
Knowledge, Experience, Requirements:
- Software Engineering experience equivalent to senior software engineer
- Strong proficiency in Node.js and Typescript/Javascript
- Experience building applications using large language models (LLMs) and generative AI platforms such as AWS Bedrock, OpenAI, Anthropic, or similar
- Experience using LangChain or similar orchestration frameworks to build prompt pipelines, agents, or retrieval workflows
- Demonstrated experience with prompt engineering, prompt evaluation, and iterative prompt improvement
- Familiarity with Retrieval-Augmented Generation (RAG) concepts, embeddings, and vector-based search systems
- Ability to operate in an AI-first development environment where AI tools are actively used for architecture exploration, code generation, refactoring, test creation, and documentation
- Solid understanding of data structures, algorithms, and system design
- Strong debugging and performance optimization skills
- Familiarity with cloud infrastructure and CI/CD practices
- Familiarity with relational database technologies and SQL, including query optimization and data modeling concepts
- Strong communication and collaboration skills, thriving in an agile, team-based environment
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline preferred
Success Criteria:
- Delivers high-quality, production-ready AI-powered product features on time with strong test coverage and minimal rework
- Designs and implements reliable LLM-driven workflows using services such as AWS Bedrock, LangChain and related tools
- Effectively leverages prompt engineering techniques to improve model accuracy, reliability, and consistency
- Implements appropriate guardrails, evaluation strategies, and monitoring for LLM outputs in production systems
- Demonstrates strong judgment in validating, refining, and securing AI-generated code and model outputs before production use
- Translates ambiguous product requirements into well-structured technical plans and shipped solutions
- Communicates technical concepts, tradeoffs, and risks clearly to engineering peers, product partners, and stakeholders
- Shares AI workflows, automation techniques, and best practices to increase overall team productivity
- Takes end-to-end ownership of projects, proactively managing risks, dependencies, and follow-through
- Actively mentors junior and mid-level engineers through code reviews, technical guidance, and pair programming
- Encourages knowledge sharing through technical discussions, documentation, and internal learning sessions
- Contributes positively to team culture by collaborating effectively, giving and receiving feedback constructively, and fostering continuous learning
Compensation:
Annual Base Salary Range of 150k-175k
Annual Bonus Opportunity of 10%
As a growing company, Novara values its employees by supporting them with a full benefits package including Medical, Dental, Vision, Flexible Spending Accounts, PTO, Paid and Floating Holidays, 401k with Company match and immediate vesting, Company-funded Life Insurance, Employee Assistance Programs, and No-cost Mental Health Benefits.
About Novara
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations address operational risk proactively by unifying data, increasing workforce engagement, and proactively managing risk. Novara’s combination of training, software, and tools puts people and safety first while protecting critical operations.
Novara, a Providence Equity portfolio company, provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. Through the Flex and Risk Management Center platforms, Novara helps organizations address operational risk proactively by unifying data, increasing workforce engagement, and proactively managing risk. Novara’s combination of training, software, and tools puts people and safety first while protecting critical operations.
Novara launched January 1 2026, as an independent company, a spin-off of the Flex and RMC software businesses formerly part of KPA.
Don’t meet every job requirement? At Novara, we are dedicated to building a diverse, inclusive, and authentic workplace. Studies have shown that women and people of color are less likely to apply unless they meet every requirement. If you’re excited about the role but your past experience doesn’t align perfectly with every qualification, we still encourage you to apply! You might just be the right candidate for this or other roles.
Please note that we may use AI tools to assist in the initial screening of resumes to help identify qualified candidates more efficiently. All decisions are reviewed by a human recruiter, and no hiring determination is made solely by automated means.
Novara is committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, and compensation, to all qualified applicants and employees without regard to race, religion, religious dress/grooming, color, ethnicity, sex (including sex stereotyping), sexual orientation, gender identity or gender expression, national origin, ancestry, citizenship status, creed, uniform service member status, military or veteran status, marital status, pregnancy, breast-feeding and/or pregnancy-related conditions, age, protected medical condition, leave status, physical or mental disability, genetic characteristics, or any other legally-protected status in accordance with the requirements of all federal, state and local laws. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Please see our Candidate Privacy Notice Included Here
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
