K
KLAR Partners
FullstackSenior
Forward Deployed AI Engineer
PythonSqlDockerCi/CdAWSAzureLlmRagPrompt EngineeringAgentsTypeScriptSapDynamicsSalesforceIac
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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