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About This Role
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, Novaravalues 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.
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 hr@novara.com.
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Salary Context
This $150K-$175K range is below the median for AI Software Engineer roles in our dataset (median: $189K across 518 roles with salary data).
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 26,159 AI roles we're tracking, AI Software Engineer positions make up 2% of the market. At Novara, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $235,100 based on 665 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($162K) sits 31% below the category median. Disclosed range: $150K to $175K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Novara AI Hiring
Novara has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Remote, US. Compensation range: $175K - $175K.
Remote Work Context
Remote AI roles pay a median of $156,000 across 1,221 positions. About 7% of all AI roles offer remote work.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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