Forward-Deployed Engineer (FDE)

Main tasks

• Work directly with customers to understand their business challenges, technical requirements, and operational workflows.
• Design, develop, and deploy AI-powered solutions tailored to real-world customer needs.
• Build production-ready applications, APIs, integrations, and automated workflows using modern software engineering practices.
• Develop and integrate LLM-based applications, AI agents, and intelligent automation systems.
• Own the end-to-end technical delivery process, from requirements gathering and prototyping to deployment and ongoing optimization.
• Integrate solutions with customer infrastructure, databases, third-party APIs, and enterprise systems.
• Troubleshoot complex technical issues, ensuring reliability, scalability, security, and performance.
• Collaborate closely with product and engineering teams to translate customer feedback into product improvements and reusable capabilities.
• Identify opportunities to automate processes, improve operational efficiency, and deliver measurable business value.
• Act as a trusted technical partner, communicating effectively with both technical and non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 3+ years of professional experience in software engineering, backend development, or similar technical roles.
• Strong programming skills in Python and/or TypeScript.
• Solid experience designing and developing REST APIs, backend services, and scalable software applications.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience working with relational and/or NoSQL databases, data pipelines, and third-party integrations.
• Understanding of LLMs, generative AI technologies, and AI application development.
• Familiarity with software deployment, CI/CD practices, containerization, and production environments.
• Strong analytical thinking, debugging skills, and ability to solve complex technical problems independently.
• Excellent communication skills and ability to translate business needs into technical solutions.
• Comfortable working directly with customers in fast-paced, dynamic, and ambiguous environments.
• Strong sense of ownership, autonomy, and results-oriented mindset.

Nice to have

• Hands-on experience building AI agents, RAG pipelines, and LLM-powered applications.
• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Familiarity with vector databases, embeddings, and semantic search technologies.
• Experience with Docker, Kubernetes, Terraform, or infrastructure-as-code tools.
• Knowledge of enterprise security, authentication protocols, and data privacy best practices.
• Experience integrating with enterprise platforms such as Salesforce, SAP, or other business-critical systems.
• Previous experience in a Forward-Deployed Engineer, Solutions Engineer, or customer-facing engineering role.
• Experience working in early-stage startups or high-growth technology companies.
• Familiarity with monitoring, observability, and evaluation frameworks for AI applications.
• Strong product mindset and ability to identify opportunities for scalable, reusable solutions.