Paraform Logo

Paraform

Applied AI Engineer

Reposted 24 Days Ago
In-Office
San Francisco, CA, USA
190K-240K Annually
Mid level
In-Office
San Francisco, CA, USA
190K-240K Annually
Mid level
The Applied AI Engineer will design and build LLM-driven AI systems for recruiting, manage end-to-end system ownership, collaborate across teams, and establish evaluation frameworks for performance and reliability.
The summary above was generated by AI
What we’re looking for

We’re looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by real people. You’re comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact.

Experience building LLM-powered applications, retrieval systems, tool-using agents, or AI-driven automation is a plus. Familiarity with traditional ML techniques such as ranking, recommendation, or classification is helpful when designing hybrid systems that balance performance, cost, and reliability.

What you’ll do

Design and build AI systems that power matchmaking, ranking, and automation across the Paraform marketplace.

  • Develop LLM-driven features such as retrieval pipelines, agentic workflows, and AI-powered automation that improve how recruiters and companies interact on the platform.

  • Own systems end-to-end, from data pipelines and prompt or model design to deployment, monitoring, and iteration in production.

  • Work closely with product, ML engineers, and full-stack teams to ship AI capabilities that directly move marketplace metrics.

  • Design evaluation frameworks that measure real-world performance, reliability, and business outcomes, not just offline model quality.

  • Help define best practices for building and operating production AI systems at Paraform, balancing model quality, cost, latency, and maintainability.

  • Raise the bar for how AI is integrated into product experiences across the platform.

Who you are
  • 2 - 5 years of experience at a growing, AI native startup (series A - D)

  • Worked on products that have scales to a large number of users (not just for a single enterprise customer)

  • Strong Python and Typescript experience

  • You've built agentic systems that power real business or user outcomes

  • You thrive in ambiguous, 0 to 1 environments

  • You can explain technical tradeoffs to non-technical partners

About Paraform:

Paraform is a marketplace modernizing one of the largest and most fragmented markets in the world: hiring. We partner with industry leaders like Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to hire world-class talent, and are growing quickly - 8×-ing revenue last year.

Paraform is the first end-to-end AI recruiting marketplace that connects companies with thousands of specialized recruiters and AI agents that work together to fill roles faster and more accurately.

Our mission is to make hiring fast, reliable, and scalable for every company in the world.

At Paraform, we believe recruiting works best when the right people are working on the right problems, combining human judgment with AI that truly understands hiring. That’s why we’re building a new foundation for how companies hire, bringing together specialized recruiters and modern AI tools.

We treat recruiters like entrepreneurs, not vendors – and we’re building the financial, operational, and technical infrastructure that powers their success.

We are backed by the best investors and technology leaders: Felicis, A*, BOND, Liquid 2, DST Global, the founders of YouTube, Instacart, Canva, and more.

Similar Jobs

2 Days Ago
In-Office
Sunnyvale, CA, USA
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.
Top Skills: Ai/MlAutomated TestingC#Ci/CdDockerGoGrpcHelmJavaJavaScriptKafkaKubernetesLlmNext.JsObservabilityPythonReactRestSparkTypescript
9 Days Ago
In-Office or Remote
San Mateo, CA, USA
165K-350K Annually
Senior level
165K-350K Annually
Senior level
Artificial Intelligence • Legal Tech
As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.
Top Skills: AILlmTypescript
23 Days Ago
In-Office
114K-286K Annually
Senior level
114K-286K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Senior Applied AI Engineer, you will develop and deploy AI/ML solutions for semiconductor processes, design software for large datasets, and drive innovative research to improve manufacturing efficiency.
Top Skills: AIAlgorithmsData AnalysisMachine LearningPythonR

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account