Forward Deployed Engineer
Eliza · United States
About this role
## Forward Deployed Engineer (FDE) ### About Us We’re a technology services company helping organizations build and deploy cutting-edge AI solutions—spanning generative AI and custom LLM integrations, predictive analytics, and intelligent automation. ### Role Overview We’re seeking a **Forward Deployed Engineer (FDE)** to work closely with clients, translating complex business needs into **scalable, production-ready AI solutions**. You’ll be the technical face of the company on the ground—embedding with client teams, shaping solution architectures, and ensuring successful delivery. ### Key Responsibilities - **Client-Facing Solution Delivery** - Partner with client stakeholders to understand requirements, constraints, and business objectives. - Lead technical design and hands-on implementation of custom AI systems (model integration, data pipelines, APIs, deployment infrastructure). - Rapidly prototype and iterate in live client environments. - **Full-Stack AI Engineering** - Build and deploy ML/AI solutions using tools such as **Python**, **TensorFlow/PyTorch**, **LangChain**, and cloud-native technologies. - Integrate LLMs and generative models into client products and workflows. - Support fine-tuning, prompt engineering, and evaluation pipelines (where applicable). - **Cross-Functional Collaboration** - Work with internal teams (product, design, research) to build reusable components and frameworks. - Share client feedback and frontline insights to improve delivery and product strategy. - **Technical Advisory & Enablement** - Advise client teams on AI/ML best practices for development and deployment. - Deliver hands-on workshops, documentation, and training. - Guide infrastructure and architecture decisions (e.g., cloud, security, scalability). ### Qualifications **Required** - **2+ years** of software engineering experience (full-stack or backend-focused preferred). - Hands-on experience delivering real-world ML/AI projects (independently or with data science teams). - Strong programming skills (**Python required**; JavaScript/TypeScript, Go, or similar is 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** (e.g., MLflow, Weights & Biases, SageMaker). - Knowledge of enterprise security, data privacy, and compliance constraints. ### What We Offer - 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 focused on real-world AI impact
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