Senior Forward Deployed Engineer

Main Responsibilities:

Architect and develop production AI / agentic systems optimized for business use cases, including agent infrastructure and integrations with client infrastructure

Manage AI product development roadmap

Rapid testing and evaluation of agentic systems, including reliability engineering, performance measurement and cost management

Continuously interface with clients to understand areas for transformation and co-design AI and security best practices

Required experience and qualifications:

BS in Computer Science or closely-related field

3+ years of relevant industry experience or equivalent

Direct experience shipping an AI or agentic AI system end-to-end to users, preferably owned or led the project

Excellent communication skills, particularly in communicating technical concepts in an approachable way to clients

Proficiency in Python

Strong production maturity and system design skills

Familiarity with agentic tooling and development, including Model Context Protocols (MCPs), agent skills, agent orchestration, Retrieval Augmented Generation (RAG), etc.

Experience designing evals, observability and monitoring for AI, plus debugging failure modes in production

Knowledge of enterprise security best practices to securely deploy AI and software

Proficiency in building data pipelines and API integrations

Familiarity with cloud platform (AWS (preferred)/Azure/GCP), infrastructure as code, containerization

Passion for experimenting with AI models, open-source repos, etc.

Knowledge of latest developments in AI capabilities and deployment strategies

Good to haves

MS or PhD in Computer Science or related field - or equivalent depth from industry

5+ years of relevant industry experience or equivalent

Experience deploying AI in a specific vertical or business use case

Ability to identify and articulate business value from AI deployments - including ROI framing, process mapping, and stakeholder alignment

Familiarity with enterprise software ecosystems, including Oracle SAP, Microsoft, etc.

Proficiency in additional languages, such as TypeScript, SQL, Java, Go

Familiarity with data privacy practices for AI

Experience with on-device or on-prem data management or AI deployment.

Familiarity with ML frameworks such as PyTorch, TensorFlow, etc.