Forward Deployed Engineer
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Role details
Tech stack
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Job description
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., 1. 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.
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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.
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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.
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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
Automation, Predictive Modeling, Artificial Intelligence (AI), Leading Edge Technology, Consulting, Customer Relations, Data Management, Technical/Engineering Design, Application Programming Interface (API), Data Modeling, 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 & conditions
- Competitive compensation (salary + deployment bonuses or client uplift incentives).
- Equity options in a growing AI services company.
- Flexibility to work across industries and problem domains.
- A collaborative, mission-driven team passionate about the real-world impact of AI.
About the company
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.
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