Forward Deployed Engineer

Infused Solutions

Greater London

On-site

GBP 70,000 - 120,000

Full time

13 days ago

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Job summary

Infused Solutions' client is a fast-growing AI platform serving institutional finance clients. They automate complex analyst workflows—turning days of manual work into minutes—for some of the world's largest financial institutions.

You will shadow credit analysts, design multi-step AI agent logic, prototype and ship V1s in days, and hand prototypes to engineers for productization. You’ll be an IC contributor bridging business needs with technical solutions.

Qualifications

  • Institutional finance analyst background (4-7+ years) involving IB, PE/credit or asset management.
  • Self-taught coder who prototypes workflows in Python and SQL.
  • Built something with LLMs in the last 12 months (RAG, agentic workflows, or document automation).
  • Ability to translate business problems into technical requirements and communicate AI limitations to partners.

Responsibilities

  • Shadow credit analysts and reverse-engineer workflows.
  • Design multi-step AI agent logic to automate those workflows.
  • Prototype and ship V1s in days and present to partners/C-suite.
  • Manage scope and hand prototypes to engineers for productization.

Skills

Institutional finance analysis
Self-taught coder
LLM projects
Python
SQL
LangChain

Tools

Python
SQL
LangChain

Job description

Job Type: Permanent


Infused Solutions' client is a fast-growing AI platform serving institutional finance clients. They automate complex analyst workflows-turning days of manual work into minutes-for some of the world's largest financial institutions.


30% financial analyst (understand workflows intimately) + 30% product strategist (translate needs into solutions) + 40% hands-on builder (prototype and ship working AI agents)


You will:


  • Shadow credit analysts at PE firms and asset managers, reverse-engineer their workflows (IC memos, deal screening, portfolio monitoring, credit risk)

  • Design multi-step AI agent logic that automates those workflows

  • Prototype and ship V1s in days, present to partners/C-suite

  • Manage scope, drive adoption, hand prototypes to engineers for productization


You won't:


  • Build production infrastructure (that's Product Engineers)

  • Manage a team (you're IC, hands-on)

  • Sit in an office writing requirements doc (you're embedded with clients)


Must-Haves


  • Institutional finance analyst background (4-7+ years)
    IB (credit, DCM, leveraged finance), PE/credit, or asset management. You know what an IC memo looks like and have built financial models at 2 AM.

  • Self-taught coder
    Python, SQL, basic scripting. You can prototype and automate your own workflows (Excel to Python to Lang Chain).

  • Built something with LLMs in the last 12 months
    RAG pipeline, agentic workflow, document automation-anything. You've shipped something real (internal tool, side project, client prototype).

  • Bridge analyst and CTO
    Translate business problems into technical requirements. Explain AI limitations to skeptical partners. Push back on scope creep.

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