K1 Investment Management Logo

K1 Investment Management

AI Engineer

Posted 16 Days Ago
In-Office
Manhattan Beach, CA, USA
Entry level
In-Office
Manhattan Beach, CA, USA
Entry level
Build and deploy AI-powered automations, tools, agents, dashboards, data pipelines, and agentic workflows for a private equity firm and its portfolio companies. Evaluate emerging AI models and frameworks, rapidly prototype solutions, and iterate based on user feedback. The role requires strong practical AI tool usage, coding ability in Python or JavaScript, Microsoft 365 proficiency, and five-day in-office work in Manhattan Beach.
The summary above was generated by AI

AI Engineer 

Founding AI Team Reporting Directly to Partner 

If you want to move fast, ship real things, and have outsized impact at a leading PE firm—keep reading. 
 

Position Summary: 

K1 is seeking an AI Engineer to join our founding AI team in Manhattan Beach, CA. This is not a typical role. You will be one of the founding members of K1's internal AI function, reporting directly to a Founding Partner with no middle management, no busywork, and real ownership from day one. You will work at the intersection of artificial intelligence, enterprise software, and private equity operations — shipping real automations, building real tools, and driving real impact across a portfolio of 275+ companies. The right candidate will embody the values of K1 – Passion, Persistence, Humility, and Excellence. 
 

Key Responsibilities: 

  • Designing, building, and deploying AI-powered automations using Claude, Microsoft 365 (Power Automate, Copilot, SharePoint), and custom integrations to eliminate manual processes across the firm and portfolio companies; 

  • Rapidly prototyping AI tools and agents — from competitive intelligence scrapers to board-report generators — and iterating quickly based on real user feedback; 

  • Evaluating emerging AI models, tools, and frameworks and synthesizing findings into actionable recommendations for the investment team; 

  • Building internal dashboards, data pipelines, and agentic workflows that give K1's investment professionals an unfair advantage; 

  • Performing other duties as assigned. 
     

Requirements: 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Business + CS, or a related field;
  • At least one prior internship/role or substantive project experience in AI/ML, software engineering, or data science; 

  • Proficiency with Claude (Anthropic) as a daily working tool — prompt engineering, multi-step workflows, and integration into real tasks; 

  • Working knowledge of Microsoft 365 (Excel, PowerPoint, SharePoint, Teams); familiarity with Power Automate or Copilot Studio is a plus; 

  • Proficiency in Python and/or JavaScript — you don't need to be a systems engineer, but you need to be able to ship working code; 
  • Bias toward action, comfort with ambiguity, and a genuine obsession with where AI is headed;
  • Ability to work in-office in Manhattan Beach 5 days per week. 

About K1: 

K1 Investment Management is one of the largest investors in small-cap AI-powered software. Dedicated to transforming lives and industries by building category leaders in technology, K1 has invested in over 275 companies since inception. Headquartered in Manhattan Beach, California, the firm partners early with founders and management teams to build AI-powered, mission-critical systems of record for enterprise clients globally. 

For more information, visit k1.com and follow K1 Investment Management on LinkedIn. 

HQ

K1 Investment Management Manhattan Beach, California, USA Office

875 Manhattan Beach Blvd, Manhattan Beach, CA, United States, 90266

Similar Jobs

30 Minutes Ago
Hybrid
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, guardrails, evaluation, orchestration, and observability. Optimize model performance, scalability, latency, throughput, hardware utilization, and cost. Establish AI governance standards, lead technical reviews, shape long-term platform strategy, and mentor senior AI engineers. Collaborate with engineering, research, product, and program teams to deliver responsible AI products.
Top Skills: Agentic AiAi GuardrailsAWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaLarge Language ModelsModel CompressionModel EvaluationMulti-Agent WorkflowsPythonPyTorchRagScalaSimilarity SearchVector SearchVectordbs
30 Minutes Ago
Hybrid
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and model evaluation. Lead AI architecture, orchestration, cost-performance governance, technical reviews, roadmap development, and responsible AI standards. Mentor senior technical staff and apply advanced optimization techniques to improve model scalability, latency, throughput, hardware utilization, and inference cost.
Top Skills: Agentic AiAWSAws UltraclustersAzureC#C++CudaGenerative AiGoGCPHugging FaceJavaLarge Language ModelsMlxPythonPyTorchRetrieval-Augmented GenerationScalaSimilarity SearchVectordbs
Yesterday
Hybrid
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead technical reviews, and mentor senior engineering leaders while applying emerging research responsibly in production.
Top Skills: AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaLarge Language ModelsModel CompressionMulti-Agent SystemsPythonPyTorchRetrieval-Augmented GenerationScalaSimilarity SearchVectordbs

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account