Forward Deployed Engineer

Join Us. Grow With Us. Shape What’s Next. We are looking for passionate, creative and forward-thinking engineer to join our new start up! 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 or MS in Computer Science or closely-related field • 2 to 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 • 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.