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Hyperproof

AI Engineer

Posted An Hour Ago
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Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.
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About us

Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform.  With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability.  We envision a world where organizations we depend on are truly trustworthy - and Hyperproof is the platform that will get them there.

We have a great team and culture - picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It’s an exciting time to be at Hyperproof; we raised our Series B round in 2023, validating our teamwork and company vision, and we continue to grow rapidly. 

We are seeking a driven Mid-Senior AI Engineer with a proven track record of building, deploying, and managing modern AI applications. As a valuable contributor to our engineering team, you will work closely with peers and our product team to develop AI-forward features that support our core platform. You will build services and intelligent agents that help our customers automate their everyday tasks. Since we are in compliance, verifiable results, provable outcomes, and robust guardrails are all critical aspects of our AI feature development. You will play a crucial role in growing our AI capabilities, with an emphasis on high-precision RAG pipelines and spec-driven development to deliver responsible, customer-facing solutions quickly. This is a hands-on, highly technical role for someone passionate about agentic systems and creating tangible product impact.

WHO YOU ARE:

You are an AI Engineer who is passionate about building advanced, intelligent services and systems. You have hands-on experience designing and delivering AI applications, managing agents, and optimizing vector databases. You understand that the customer experience is critical, and AI features must deliver business value in order to be worthwhile. You thrive in a fast-paced environment, possess a deep understanding of constraint spaces and AI safety guardrails, and are excited to develop reliable AI-centric features that redefine how users interact with our platform.

WHAT YOU WILL DO:

  • Build and Manage Agents: Design, deploy, and manage AI agents using modern agentic technologies, ensuring robust performance within defined constraint spaces and safety guardrails.
  • RAG Optimization: Develop and manage complex RAG (Retrieval-Augmented Generation) pipelines, actively tuning and optimizing for high recall and precision.
  • Spec-Driven Development: Partner closely with product managers to translate industry requirements into technical specifications, utilizing spec-driven development to build reliable AI features.
  • Model Integration & Evals: Work with foundation models via APIs to enable use cases like document summarization and intelligent search. Establish and apply evaluation design patterns to rigorously test, measure, and improve model outputs.
  • Backend Architecture: Design and code robust backend architecture components heavily utilizing Postgres, REST APIs, queueing, storage systems, RBAC, encryption, and security.
  • Quality & Operations: Write automated tests, manage version control and collaborative workflows via GitHub, and build monitoring and system health metrics.
  • Continuous Learning: Stay up-to-date with AI advancements to ensure our engineering practices remain at the leading edge of AI adoption.

WHAT YOU WILL BRING:

  • 4+ years of software engineering experience, including 18+ months working directly on AI-powered features, agents, or applications.
  • Deep, practical experience using Claude Code.
  • Hands-on experience building AI applications and integrating LLM-based features in production.
  • Strong familiarity with RAG architectures (recall and precision metrics) and vector databases (e.g., Pinecone, Weaviate).
  • Proven ability to build and manage AI agents, with a solid understanding of agent technologies, constraint spaces, and evaluation design patterns.
  • Strong proficiency in backend development, featuring deep experience with Postgres and asynchronous programming (e.g., Node.js, TypeScript, Python, Go, and/or Java).
  • Experience managing codebases and collaborative workflows using GitHub.
  • Experience working with REST APIs using JSON and delivering scalable, reliable, maintainable software.
  • Familiarity with Azure and/or AWS for deployment, debugging, and operations.
  • Bachelor's degree in computer science, mathematics, or a related field.

LOCATION

Fully remote, working from India; To facilitate effective collaboration with our distributed engineering teams, this role requires availability to work during the afternoon and evening hours (India Standard Time).

Compensation

  • ₹2,137,000 - ₹3,000,000

CANDIDATE EXPERIENCE

We respect your time and aim for transparency throughout the interview process. You can expect:

  • A Take Home Assessment
  • A 30-minute initial chat with our Principal People & Talent Partner.
  • Three 60-minute 1:1 interviews with members of our engineering team, one of them who will be the hiring manager.

This process allows both parties to ask questions and gauge fit for the team.


WHERE YOU’LL GO

  • Hyperproof also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us.

WHAT WE OFFER TO OUR EMPLOYEES

Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ

  • Annual compensation reviews + equity
  • Unlimited PTO: strongly encouraged to unplug and recharge
  • Health: coverage for medical, dental, and vision - employee and dependents
  • 401K, which vests immediately, complete with a 4% company match
  • 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
  • Annual company in-person events and quarterly in-person connects
  • $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
  • $100 quarterly paid wellness stipend
  • Pet insurance discount
  • Slack channel notifications turn off after 5 pm based on your time zone
  • Two Hypercharge weeks of rest where we close company-wide (July & Dec) 

It’s an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space.

At Hyperproof’s core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets. 

We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don’t happen.

Learn more about the @hyperproof culture and how it all started.

A NOTE ABOUT OUR INTERVIEW PROCESS

We’re committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process.

Here’s what that means for you:

  • We may conduct routine verification checks during the hiring process.
  • You might be asked additional questions to better understand your experience and background.
  • For video interviews, we ask that candidates be on camera without filters or visual modifications.                                                                                                             

These steps are applied consistently for all candidates and are designed to ensure an equitable experience for everyone.

EQUAL OPPORTUNITY EMPLOYER

Hyperproof is committed to a diverse and inclusive workplace  — it’s one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. 

Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.

 

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