About the Company
Our client is an AI enablement company helping businesses create greater efficiency, productivity, and innovation through generative AI and AI-agent technologies. Its work combines global engineering capabilities, business innovation, and agile execution to turn emerging technologies into practical solutions for enterprise customers.
The company has supported thousands of organizations worldwide, including many operating in the rapidly expanding generative AI sector. Its culture emphasizes hands-on collaboration, continuous learning, and meaningful customer impact. Employees work alongside highly skilled engineers and business professionals to develop production-ready AI solutions, launch new ventures, and solve complex challenges at the intersection of technology and business.
This is an opportunity to join an ambitious, international-minded organization where engineers can contribute to high-impact projects, pursue specialist or leadership career paths, and help shape the future of enterprise AI.
What the Job Entails
As a Forward-Deployed Engineer, you will work directly with enterprise customers to understand their business processes, operational challenges, and organizational knowledge, then translate those insights into practical AI solutions. You will take ownership across the full lifecycle, from requirements definition and prototyping through production deployment, monitoring, and continuous improvement.
This is a hands-on role involving software development, customer engagement, and technical delivery. You will build AI applications using technologies such as Python, TypeScript, RAG, and AI agents; contribute across frontend, backend, data, and infrastructure layers; and deploy solutions on Azure, AWS, and GCP.
You will conduct user interviews, analyze logs, negotiate requirements, address operational issues and data drift, and collaborate closely with customers and internal engineering teams. The role offers the opportunity to move beyond proofs of concept and deliver AI systems that create measurable value in real-world environments.
Key Requirements
At least three years of hands-on implementation experience using Python.
Experience leading work across the software development lifecycle, from requirements definition through production operation.
Experience with customer-facing technical activities, such as requirements gathering, stakeholder discussions, customer negotiation, or user interviews.
Practical experience with generative AI, large language models, retrieval-augmented generation, or AI-agent implementation.
Experience developing prototypes and production applications using Python, TypeScript, or related technologies.
Experience with cloud infrastructure, preferably Azure, AWS, or Google Cloud Platform.
Familiarity with full-stack development, including frontend, backend, AI components, databases, and data pipelines.
Experience with MLOps or the deployment and operation of data-driven systems.
Understanding of enterprise IT infrastructure, security, governance, and unstructured business data.
Experience implementing or customizing SaaS or platform-based services.
Ability to understand complex customer operations and translate business needs into technical solutions.
Strong communication skills and the ability to build trusted relationships with customers and engineering teams.
A proactive, adaptable mindset and willingness to learn rapidly in an evolving AI environment.
Ability to work effectively in ambiguous situations by forming hypotheses, testing solutions, and iterating.
Ability to read and create English technical documentation and collaborate with international teams.