Forward Deployed Engineer

About the role

We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems. Role Overview We are seeking a Forward Deployed Engineer (FDE) to work closely with our clients, translating complex business needs into scalable, production-ready AI solutions. As an FDE, you will serve as the technical face of our company on the ground-embedding with client teams, shaping solution architectures, and ensuring successful delivery. This role is perfect for engineers who love solving real-world problems, working directly with customers, and navigating the intersection of consulting and engineering.

Responsibilities

• Client-Facing Solution Delivery
• Partner directly with client stakeholders to understand requirements, constraints, and business objectives.
• Lead the technical design and hands-on implementation of custom AI systems-including model integration, data pipelines, APIs, and deployment infrastructure.
• Rapidly prototype and iterate with clients in live environments.
• Full-Stack AI Engineering
• Build and deploy ML/AI solutions using technologies like Python, TensorFlow/PyTorch, LangChain, and cloud-native tools.
• Integrate LLMs and other generative models into client products and workflows.
• Support model fine-tuning, prompt engineering, and evaluation pipelines where applicable.
• Cross-Functional Collaboration
• Work with internal teams (product, design, research) to shape reusable components and frameworks based on deployment experiences.
• Contribute client feedback and frontline insights to improve service delivery and product strategy.
• Technical Advisory & Enablement
• Advise client technical teams on best practices for AI/ML development and deployment.
• Deliver hands-on workshops, documentation, and training to enable long-term client success.
• Guide clients through infrastructure and architecture decisions (e.g., cloud, security, scalability).

Requirements

• Required
• 2+ years of software engineering experience, ideally in full-stack or backend-focused roles.
• Hands-on experience delivering real-world ML/AI projects, either independently or in collaboration with data science teams.
• Strong programming skills (Python required; familiarity with JavaScript/TypeScript, Go, or similar a plus).
• Comfort with modern cloud platforms (AWS, GCP, or Azure) and CI/CD workflows.
• Excellent communication and client interaction skills.
• Preferred
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere), vector search, or prompt engineering.
• Prior consulting, professional services, or customer-facing technical roles.
• Familiarity with MLOps practices and tools (e.g., MLflow, Weights & Biases, SageMaker).
• Knowledge of common enterprise security, data privacy, and compliance constraints.

Benefits

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Company Intel

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