Description

Position Overview:

The Forward Deployed Engineer (FDE) will work directly with customers and cross-functional engineering teams to design, develop, and implement customized technology solutions that address complex business challenges. The ideal candidate will combine strong software engineering skills with customer-facing technical expertise, enabling the rapid deployment of scalable applications, AI-powered solutions, and enterprise integrations. This role requires hands-on development, system architecture, troubleshooting, and the ability to translate customer requirements into production-ready solutions.

FDE Technologies & Technical Expertise:

Strong programming experience with Python, Java, JavaScript, or TypeScript.

Hands-on experience with backend development, REST APIs, microservices, and distributed systems.

Experience with React, Node.js, or other modern frontend frameworks is preferred.

Strong knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and AI application development.

Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.

Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

Experience integrating third-party APIs, enterprise platforms, and customer-specific systems.

Proficiency in SQL, relational databases, and NoSQL databases.

Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

Knowledge of Docker, Kubernetes, and containerized application deployment.

Experience with CI/CD pipelines, Git, automated testing, and DevOps practices.

Familiarity with observability, logging, monitoring, and production troubleshooting tools.

Understanding of system architecture, authentication, authorization, and enterprise security practices.

Key Forward Deployed Engineering Responsibilities:

Work directly with customers to understand business challenges, technical requirements, and implementation goals.

Design, develop, and deploy customized software solutions for enterprise environments.

Build and integrate APIs, backend services, and customer-specific application workflows.

Develop AI-powered applications using LLMs, RAG architectures, and intelligent automation.

Integrate enterprise data sources, third-party applications, and internal systems.

Translate customer requirements into scalable technical architectures and implementation plans.

Prototype solutions quickly and convert successful prototypes into production-ready applications.

Troubleshoot complex technical issues across application, infrastructure, and integration layers.

Collaborate with product managers, software engineers, AI engineers, and customer stakeholders.

Optimize application performance, reliability, scalability, and security.

Gather customer feedback and communicate product improvement opportunities to engineering teams.

Prepare technical documentation, deployment guides, and implementation recommendations.

Support production deployments and ensure successful adoption of delivered solutions.

Experience & Professional Competencies:

6+ years of experience in Software Engineering, Solutions Engineering, Forward Deployed Engineering, or related technical roles.

Strong hands-on programming experience with Python, Java, or TypeScript.

Experience building and deploying production-grade applications and enterprise integrations.

Practical knowledge of APIs, microservices, databases, and cloud infrastructure.

Experience working directly with customers or business stakeholders to deliver technical solutions.

Knowledge of Generative AI, LLM integration, RAG, and AI application development is highly desirable.

Ability to understand ambiguous business problems and convert them into practical engineering solutions.

Strong debugging, analytical, and problem-solving capabilities.

Excellent communication and collaboration skills.

Ability to work in fast-paced environments and manage multiple implementation priorities.

Academic Qualifications & Preferred Certifications:

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.

Master's degree in Computer Science, Artificial Intelligence, or a related discipline is preferred.

Relevant certifications in AWS, Microsoft Azure, Google Cloud, Kubernetes, or Generative AI technologies are an advantage

Key Skills

Education

Any Graduate