Eliza
Forward Deployed Engineer
San Francisco, USA
Sponsorship not specifiedDetected 374 days ago
JavaScriptTypeScriptPythonGoFull-Stack DevelopmentAWSGCPAzureCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceLLMsMLOpsResearchCommunicationCollaboration
About the role
- 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.
- Full-Stack AI Engineering Build and deploy ML/AI solutions using technologies like Python, TensorFlow/PyTorch, LangChain, and cloud-native tools.
- 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.
- Deliver hands-on workshops, documentation, and training to enable long-term client success.
- About Us We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions.
Requirements
- 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.
- Comfort with modern cloud platforms (AWS, GCP, or Azure) and CI/CD workflows.
- Familiarity with MLOps practices and tools (e.g., MLflow, Weights & Biases, SageMaker).
- Knowledge of common enterprise security, data privacy, and compliance constraints.
- Qualifications Required 2+ years of software engineering experience, ideally in full-stack or backend-focused roles.
- Strong programming skills (Python required; familiarity with JavaScript/TypeScript, Go, or similar a plus).
Nice to have
- Strong programming skills (Python required
- familiarity with JavaScript/TypeScript, Go, or similar a plus).
- Preferred Experience with LLMs (e.g., OpenAI, Anthropic, Cohere), vector search, or prompt engineering.
Compensation
- Competitive compensation (salary + deployment bonuses or client uplift incentives).
Benefits
- Equity options in a growing AI services company.
Company info
- 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.
- Job Summary We are seeking a Forward Deployed Engineer (FDE) to work closely with our clients, translating complex business needs into scalable, production-ready AI solutions.
This listing is sourced directly from Eliza's careers page and normalized into a canonical job model.