AI Solutions Engineer
Posted on Jun 29, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£90k - £120k Annual
Full-Time
AI Solutions Engineer
Location: London (3 days on-site)
Compensation: £90,000 - £120,000 base + 20 - 30% bonus + equity
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.
The Role: AI Solutions Engineer
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 productizationYou 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 → Python → 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
Location: London (3 days on-site)
Compensation: £90,000 - £120,000 base + 20 - 30% bonus + equity
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.
The Role: AI Solutions Engineer
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 productizationYou 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 → Python → 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
Reference: 225304699
https://jobs.careeraddict.com/post/113478133
AI Solutions Engineer
Posted on Jun 29, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£90k - £120k Annual
Full-Time
AI Solutions Engineer
Location: London (3 days on-site)
Compensation: £90,000 - £120,000 base + 20 - 30% bonus + equity
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.
The Role: AI Solutions Engineer
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 productizationYou 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 → Python → 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
Location: London (3 days on-site)
Compensation: £90,000 - £120,000 base + 20 - 30% bonus + equity
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.
The Role: AI Solutions Engineer
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 productizationYou 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 → Python → 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
Reference: 225304699
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