Agentic AI Engineer for Production-Grade Finance Systems

Digital Futures; Birmingham; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Group Life Assurance

Virtual GP and Online Physiotherapy

Confidential Helpline/Employee Assist.

Wellbeing Studio & Digital Gym

Discounted shopping cards & e-vouchers

Statutory pension contribution -salary

30 days annual leave

Job summary

Digital Futures is an AI services and software company focused on accelerating AI transformation and governance for enterprise and government. We seek an experienced consultant to design architecture, build production-grade AI systems, and scale deployments inside a regulated financial institution.

The role combines practical AI engineering with knowledge-graph and entity-resolution expertise, operating within a bank's control environment.

Qualifications

• Strong software/AI/data engineering background with production-grade delivery.
• Proven record of deploying agentic AI systems in production.
• Experience with knowledge graphs, semantic search and retrieval systems.
• Familiarity with MCP and related tool integration standards.
• Experience deploying solutions on AWS or GCP.

Responsibilities

• Design and deploy agentic AI workflows to automate investment sourcing, market research, due diligence and document generation.
• Design and maintain a venture intelligence knowledge graph covering companies, founders, investors and transactions.
• Define AI architecture, data governance, provenance and quality standards across internal and external data sources.
• Develop AI agents to analyse companies, markets and investment opportunities using structured and unstructured data.
• Build automated diligence workflows that extract, validate and synthesise information from pitch decks, financials, research reports and industry databases.
• Develop portfolio intelligence capabilities to monitor performance, financing activity, competitive developments and strategic risks.
• Integrate with approved internal and external data sources, including CRM, market data and portfolio management platforms.
• Deploy and optimise RAG, agent orchestration and knowledge graph services within the bank’s approved technology environment.
• Implement monitoring and evaluation frameworks covering accuracy, quality, cost and operational performance.
• Ensure solutions are secure, auditable and reproducible.

Skills

Python development

API integration

Knowledge graphs

Semantic search

RAG

Agentic AI engineering

AWS

GCP

MCP integration

Tools

AWS

GCP

Job description

Digital Futures is an AI services and software company focused on accelerating AI transformation and governance for enterprise and government. We seek an experienced consultant to design architecture, build production-grade AI systems, and scale deployments inside a regulated financial institution.

The role combines practical AI engineering with knowledge-graph and entity-resolution expertise, operating within a bank's control environment.