Forward Deployment Engineer, Agentic AI

Disseqt AI; Dublin; Presencial; EUR 90.000 - 150.000; Jornada completa

Descripción de la vacante

Disseqt AI is seeking Forward Deployed Engineers (FDE) in Dublin, Ireland, to lead the technical deployment of our Enterprise Agentic AI Platform for financial services clients. You will bridge between engineering and customer environments, ensuring safe, scalable, and transparent production deployments with modern MLOps practices.

You will work hands-on with a high-performance stack, including Golang and Python services, Docker/Kubernetes, and CI/CD pipelines, traveling between Ireland and the

Formación

• 3+ years of professional software engineering experience in Golang and Python.
• Expertise with containerization: Docker and Kubernetes.
• Experience deploying in cloud and on-prem environments; IaC concepts.

Responsabilidades

• Lead pre-sales and post-sales technical deployment across client environments onsite in Dublin and UK.
• Own end-to-end deployment of the AI platform, including containerised services and integrations.
• Design and implement CI/CD pipelines and automated testing for production readiness.
• Collaborate with customers and engineers to troubleshoot production issues and enable scalable deployments.
• Advise on architecture and best practices for MLOps, server orchestration, and monitoring.
• Support R&D with feedback from deployments to shape product features.

Conocimientos

Golang

Python

Docker

Kubernetes

CI/CD

MLflow

ClearML

Cloud Platforms

Educación

Software engineering degree

Herramientas

MLflow

ClearML

Descripción del empleo

About the role

We are hiring Forward Deployed Engineers (FDE) in Dublin Ireland to be the technical spearhead for integrating our Service as a software Enterprise Agentic AI Platform with our top-tier financial services clients.

Our FDEs are the critical bridge between our engineering team and the customer environment, focusing on the safe, scalable, and transparent deployment of Agentic AI applications for IT Service Excellence. You will work with a modern, high-performance stack and contribute directly to cutting-edge MLOps practices, including intelligent server orchestration and automated testing driven by AI models.

This is a unique opportunity to shape the foundational production and deployment strategies for our core product and work directly with global financial services enterprises and their senior technical executives and heads of AI at the cutting edge of complex pre-sales cycles as technical lead and help deliver live deployments .

What you’ll do

• Lead the pre sales and post sales technical deployment and be embedded in customer deployments for 3-12 months as part of the partner and customer teams onsite . This role will be face to face onsite providing the technical and architectural support these complex integration projects need to scale prototype to POC to stable enterprise production. Scope work, sequence delivery andremove technical blockers.
• Production Deployment & Integration: Lead the end-to-end deployment of our fully containerised AI platform within client environments, supporting both cloud (GCP, AWS) and on-prem deployments.
• Enable customers and partners on Disseqt Ai’s platform and usage for robust scalable testing, jailbreaking, Redteaming and vulnerabilities and addressing these.
• MLOps and Automation: Design and implement Git-based CI/CD pipelines and automated testing frameworks. Leverage our own Agentic AI models to create intelligent systems for server orchestration and system monitoring.
• Coding and Engineering: Write high-performance core services and orchestration logic using Golang. Develop, debug, and optimize the Python-based Machine
• Learning/AI service layer, which includes hybrid model ensembles (Deep Learning/Classical ML) for customer requests.
• Customer & Technical Leadership: Serve as the primary technical contact for customers, troubleshooting complex production issues, and providing detailed feedback to the core engineering team driving new feature research for R&D to build.
• ML Experimentation and Workflow: Implement and maintain model versioning, tracking, and governance using tools like MLflow and ClearML.

Qualifications

• Strong customer facing skills to work with a variety of roles from AI QA testers to heads of AI at financial institutions as well as liaising with the dev hub team of FDE’s and Disseqt developers in Bangalore on requests and bugs during projects .
• Core Engineering: 3+ years of professional experience in software engineering, with strong proficiency in Golang and Python.
• DevOps & Architecture: Expert-level knowledge of containerization technologies (Docker, Kubernetes) , on premise deployments and experience with infrastructure-as-code principles.
• Cloud Proficiency: Hands-on experience deploying and managing applications on at least one major cloud provider (Google Cloud Platform - Azure, GCP or AWS).
• MLOps Tooling: Experience with model experimentation, tracking, and versioning tools such as MLflow, ClearML, or similar.
• AI/ML Familiarity: Foundational understanding of the principles behind Deep Learning models (e.g., Transformers) and Classical ML models used in our validators.
• NB Must have the ability to travel between Ireland and the UK frequently and be resident in Dublin Ireland, we are not sponsoring visas or relocations from abroad

Bonus Qualifications

• Financial Services Experience: Prior experience working with or deploying solutions for enterprises in the financial services sector (e.g., banks, payment processors like Citibank or Visa ).
• Next-Gen AI Development: Familiarity with modern AI coding assistants and experimentation tools (Cursor, ChatGPT, Claude, Paperspace, Google Colab/Notebooks).
• Front-End Exposure: Working knowledge of modern web application frameworks like Next.js.
• Advanced AI/ML Ops: Direct experience with implementing or managing production systems that use Agentic AI models for operational tasks.