Forward Deployment Engineer (GenAI / LLM / Backend / Cloud)

Quick Facts

• Role: Forward Deployment Engineer (GenAI / LLM / Backend / Cloud)

• Work mode: 100% remote

Description

Work directly with clients, stakeholders, and deployment teams to analyze business challenges, design innovative solutions, and transform business requirements into scalable enterprise products. Lead technical delivery of GenAI/LLM architectures in production—such as RAG, AI agents, and vector databases—alongside backend and integration work (microservices, REST APIs, distributed systems) with a strong focus on security and performance.

Responsibilities

• Design and deploy scalable enterprise solutions in customer environments

• Translate business needs into ready-to-use products and functionalities through close collaboration with stakeholders and engineering teams

• Design and integrate LLM-based AI architectures (RAG, AI agents, vector databases) for production environments

• Build and evolve microservices, REST API interfaces, and distributed systems with high security and performance

• Provide technical leadership for deployments and ensure measurable business value delivery

Requirements

• Minimum 8 years of software engineering experience in architecture, technical consulting, or client-facing technology roles

• Practical knowledge of LLMs, RAG architecture, AI agents, vector databases, and GenAI model integration patterns including prompt engineering

• Experience deploying enterprise-grade applications in highly regulated and/or high-security environments

• Very good knowledge of at least one of: Python, Java, or C#

• Practical knowledge of REST API, microservices, and distributed systems

• Experience with AWS/Azure/GCP plus Docker, Kubernetes, CI/CD, and Infrastructure as Code (IaC)

• Strong customer/business focus with excellent communication and interpersonal skills

• Very good English (spoken and written)

Benefits

• Long-term B2B engagement (outsourcing)

• Full-time remote work