Requirements
The role requires strong proficiency in programming languages like Python or JavaScript, experience with frameworks such as TensorFlow or PyTorch, and hands-on experience with generative AI models, agentic systems, or reinforcement learning frameworks. Familiarity with deploying ML models in production on cloud platforms (AWS, Azure) or on-premise systems is necessary. Proven ability to translate business challenges into AI solutions, strong analytical and communication skills, and the ability to build client trust are essential.
Description
About the RoleAs one of our FDEs, you'll deploy the latest generative AI technologies and infrastructure to solve high-stakes problems for some of the world's most influential companies. This role is perfect for customer-focused software engineers who enjoy building practical, custom software in fast-moving, high-impact environments. You'll work in small teams to rapidly prototype and deliver scalable AI solutions—such as LLM workflows and agentic systems—while collaborating closely with Sales, Solutions Engineers, and Customer Success to ensure our innovations meet real enterprise needs.ResponsibilitiesCollaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.Document best practices and lessons learned from client projects to contribute to internal knowledge bases.Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.QualificationsStrong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.Required SkillsProven ability to translate abstract business challenges into concrete technical solutions using generative AI.Strong analytical skills to evaluate model performance and optimize for specific use cases.Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.Willingness to travel or work on-site with clients as required.Preferred SkillsExperience in client-facing roles and managing stakeholder expectations.Knowledge of industry-specific regulations and compliance standards.