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KLAR Partners
Scraped fromLinkedin2 days ago
FullstackSenior

Forward Deployed AI Engineer

PythonSqlDockerCi/CdAWSAzureLlmRagPrompt EngineeringAgentsTypeScriptSapDynamicsSalesforceIac
Work Type
-
Job Type
-
Location
Worldwide
Salary
Not specified

About the Position

KLAR Partners, a Northern European private equity firm, is hiring a Forward Deployed AI Engineer for their Catalyst Team. This role involves working inside portfolio companies on 4-8 week implementation sprints, building backend integrations, AI deployments, and workflow automation to improve business operations and financial performance.

Responsibilities

  • Work inside portfolio companies to understand workflows, then ship software that improves them
  • Architect and build APIs and backend services that can integrate AI models to business systems
  • Integrate with enterprise software such as SAP, Dynamics, Salesforce, and custom or legacy tools
  • Deploy LLM-based applications into production, such as RAG pipelines, agents, and copilots
  • Automate manual workflows end-to-end, including document processing, classification, and elimination of data entry
  • Set up and manage cloud infrastructure, CI/CD, and containerisation
  • Turn prototypes into reliable production systems with proper error handling, logging, and monitoring
  • Build internal tools and interfaces

Requirements

  • 5+ years of experience building and shipping production software
  • Strong Python skills and comfort with at least one other backend language
  • Experience designing, building, and deploying production APIs
  • Solid SQL and database design skills
  • Experience integrating with enterprise systems (ERPs, CRMs, or similar)
  • Cloud infrastructure, CI/CD, Docker, and IaC fundamentals
  • Working knowledge of networking fundamentals (VPNs, firewalls, on-prem to cloud connectivity)
  • Experience with LLMs and AI tooling, including prompt engineering, RAG, and agents
  • TypeScript/frontend basics (nice to have)
  • Background in forward-deployed engineering, technical consulting, or early-stage B2B startups (nice to have)
  • Experience in the PE/VC industry (nice to have)
  • Exposure to industrial, field services, or business services environments (nice to have)
  • Experience working directly with non-technical end-users (nice to have)

Benefits

  • Shape a new function from the ground up inside a fast-growing PE firm with ~€2bn AUM
  • Direct, measurable impact: the things you build show up in financial results
  • Variety: no two portfolio companies are the same – field services, industrial technology, and business services, across different countries and systems
  • A small, senior, and agile team with no bureaucratic overhead and big ambitions
  • Competitive compensation with upside tied to portfolio value creation
Forward Deployed AI Engineer
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