Senior AI Java Engineer

Forte Group is looking for a Senior AI Practitioner who will develop a powerful, future-ready commercial lending platform designed to simplify complex financial workflows. The project focuses on transforming modern finance through automation and real-time data, enabling lenders to seamlessly scale their operations, mitigate risks, and make faster, smarter funding decisions. You will be contributing to purpose-driven innovation that helps businesses globally unlock cash flow and accelerate growth.

Vision

To be the leading platform for automating complex business data flows and enterprise configurations.

Mission

To empower business users and consultants to seamlessly build, validate, and execute automated deployment processes that deliver trusted data and accelerated system onboarding.

Business Area and Team

The cross-functional AI Delivery Team delivers a robust, scalable, modern SaaS platform - enabling faster platform configuration, deeper data observability, and seamless client adoption. The team operates within an AI-first Product Development Life Cycle (PDLC): AI agents draft code, configuration mappings, tests, and documentation, while engineers set intent and constraints, perform rigorous verification, and approve outputs to a production-grade bar.

The Role Details

As a Senior Java AI Practitioner, you are a key delivery contributor who ships production-grade software at high pace within the team's patterns, guardrails, and standards.

You will own meaningful end-to-end slices of work (design, build, test, operate), using AI routinely to accelerate the automation of configuration data flows (translating business requirements from systems of record into programmatic platform configuration) while staying fully accountable for correctness, safety, quality, and control.

We’re building this automation layer differently. AI-first delivery is our normal way of working: agents accelerate implementation and artifacts; engineers verify, harden, and approve. This role exists to deliver high-quality, reliable integration and automation capabilities quickly, helping make this AI-first delivery system robust and repeatable.

Responsibilities

Mission Delivery

• Own delivery of automation features and technical slices end-to-end, including production support.
• Break work into small increments, keep PRs tight, and ship frequently with a bias to outcomes.
• Turn ambiguity into clarity by asking the right questions, analyzing platform configuration metadata, and aligning quickly on scope, constraints, and acceptance.
• Deliver production-grade functionality by default (security, performance, observability, auditability, maintainability).

AI-First Delivery System

• Use AI routinely as a delivery partner for first drafts of code, data parsers, tests, docs, and runbooks, while maintaining full accountability for the result.
• Work effectively in an AI-first PDLC by shaping tasks with intent and constraints, iterating quickly, and validating outputs thoroughly.
• Apply verification discipline to AI-generated output (automated scripts, edge cases, failure modes, security, performance, and operational behavior).
• Contribute to golden paths and repeatable speed (templates, data mapping patterns, “golden prompts”, automated configuration checks) based on real delivery learnings.
• Participate actively in code review as author and reviewer, raising standards through clear, pragmatic feedback.

Technical Delivery

• Design and implement robust, maintainable software and automation tools in modern Java aligned to system architecture, service boundaries, and APIs.
• Build reliable data extraction and transformation flows using SQL/No-SQL with appropriate schema design, indexing, and migration/mapping practices.
• Implement APIs and integrations (including programmatic bulk upload, configuration parsing, or YAML/JSON generation) with consistent error handling and resilience suitable for enterprise systems.
• Write effective automated tests (unit/integration/contract as appropriate) and treat test quality as a first-class part of delivery.
• Keep documentation current as part of delivery (agents draft; you verify for correctness and usefulness).

Quality, Security & Production Readiness

• Meet “speed with control” standards: automated quality gates, security scanning, and production readiness requirements.
• Ensure observability by default in what you build (structured logs, meaningful metrics, traceability/correlation, runbook notes for key behaviors).
• Build with safe release practices in mind so changes are reversible, diagnosable, and measurable in production.
• Apply enterprise controls where required (data traceability, audit-friendly behaviors, sensible access/control considerations).

Collaboration & Culture

• Work effectively across Product, Operations, QA, and Engineering to deliver outcomes, not just output.
• Share knowledge, support peers, and contribute to a positive, high-performing culture.
• Maintain a continuous learning mindset and adopt improved practices, helping others do the same.
• Step up to unblock progress, improve reliability, and strengthen the team's delivery system when needed.

Key Competencies

Technical

• Strong experience building production systems and automation tools in modern Java with solid API design and integration fundamentals.
• Strong SQL/No-SQL and data modeling capability, including complex schema mapping and transformation logic (parsing data from text/systems of record into platform-compatible structures).
• Sound engineering judgment across correctness, failure modes, and operational behavior.
• Comfortable reviewing code for quality and risk, and receptive to feedback.
• Clear technical communication, able to explain approaches and trade-offs.

AI-First Engineering (Must Have)

• Use AI routinely to accelerate delivery outcomes (code, tests, docs, runbooks) and verify output rather than accepting it blindly.
• Effective in an AI-first team: delegates to agents, iterates quickly, and maintains a high verification bar.
• Contributes to team-level leverage by improving templates, data patterns, gates, and delivery playbooks.

Non-Technical

• Collaborative, reliable, and accountable; takes ownership and follows through.
• Pragmatic and delivery-focused; balances pace with quality and control.
• Customer-centric mindset for complex, mission-critical enterprise environments.
• Open, curious, and motivated to learn and improve.

Requirements

• 6+ years of experience delivering production systems as a software engineer
• Experience with modern Java and SQL/No-SQL in production environments.
• Experience working with strong engineering standards (testing, CI/CD, reviews, observability).
• Degree in a STEM discipline or equivalent experience.

We Offer

• Remote-first culture: Empowering you to work how you work best
• Global collaboration: Gain international expertise with diverse teams.
• Supportive culture: Join a friendly environment where your ideas matter.
• Impactful work: Tackle challenging projects using cutting-edge tech.
• Continuous growth: Benefit from internal tech communities, learning platform access, and financial backing for certifications.
• Career & travel support: Enjoy regular performance reviews, referral bonuses, and funded business trips.
• Vibrant community: Connect through corporate events, team building, and branded company swag.
• Flexible hourly compensation: Control your schedule, vacation planning, and budget independently.

Join a team that invests in your well-being, growth, and success!