Multiple Senior Engineers for an Agentic FinTech MVP

🚀 GGES is Hiring — Multiple Senior Engineers for an Agentic FinTech MVP 🚀
Remote | Contract-to-Hire | International
GGES is assembling a very small, senior engineering team to help build an agent-powered finance MVP for a local business.
We are intentionally not building a large development team.
We want 2 exceptional senior engineers, plus 1 part-time reliability specialist, who can own complete technical areas and work directly with the CTO.
This is not a basic chatbot project.
The platform combines AI agents with real financial workflows, SaaS/API integrations, RAG, Skills/tool execution, human approvals, observability and production-grade security.
🔹 Role 1 — Senior Agentic AI & Backend Engineer
Full-Time Contract → Potential Long-Term Role
You will help own the core intelligence layer:
Business Agent, Finance Agent, agent orchestration, RAG, Skills/tool execution, structured outputs, Langfuse, OpenRouter-compatible model routing, workflow state, human approval gates, multi-tenancy, auditability and secure backend services.
Strong experience with Python/FastAPI or Node.js/TypeScript is required.
Experience with PostgreSQL, REST APIs, webhooks, queues, Redis, vector search/pgvector, LLM APIs, Docker and cloud infrastructure is highly valuable.
We are looking for someone who has built production AI agents, not only chatbot demos.
🔹 Role 2 — Senior FinTech Integration & Full-Stack Engineer
Full-Time Contract → Potential Long-Term Role
You will connect the agent platform to real business and finance systems.
Responsibilities include finance SaaS/API integrations, REST/webhooks, OAuth, canonical data models, application workflows, state machines, queues/retries, idempotency, provider adapters, PostgreSQL and operator/approval interfaces.
Preferred stack:
Node.js / TypeScript + React / Next.js
or
Python backend + strong React experience
FinTech experience is strongly preferred, but exceptional API/SaaS integration experience can qualify.
🔹 Role 3 — AI Reliability, QA & DevSecOps Engineer
Part-Time Contract — Approx. 15–20 Hours/Week
You will help ensure that the AI system remains safe and reliable when models, APIs or infrastructure fail.
Work includes LLM evaluations, Langfuse datasets, regression/integration testing, CI/CD, Cloudflare, monitoring, secrets, API security, tenant-isolation testing, model/provider fallback, load testing and incident response.
🧠 What We Care About
We care much more about engineering judgment and real production experience than certificates or AI buzzwords.
You should be able to answer questions such as:
How do you prevent an AI agent from executing an unauthorized financial action?
How do you guarantee that a network retry cannot create a duplicate finance application?
How do you safely isolate customer data in a multi-tenant RAG system?
How do you evaluate a new prompt/model before deploying it?
How can you reconstruct exactly why an agent made a decision three days ago?
🧪 Selection Process
Shortlisted candidates will complete the GGES role-specific technical test/assessment followed by a practical engineering challenge.
Finalists will then have a technical interview directly with the CTO.
Relevant portfolio and professional claims may be verified.
📩 To Apply
Send:
1) Role you are applying for
2) CV
3) LinkedIn
4) GitHub / technical portfolio
5) Two highly relevant projects
6) Exactly what YOU personally built
7) Current availability
8) Expected hourly or monthly compensation
9) Earliest possible start date
🌍 Remote — International candidates welcome!
We are particularly interested in senior engineers experienced in Agentic AI, FinTech, backend systems, API-heavy SaaS products, automation and production reliability.
Please do not send generic “AI developer” applications.

Work arrangement
Yes