Ant-Tech is looking for a Forward Deployed Engineer to play a critical role in deploying advanced AI systems directly for customers. You will work directly with client teams to understand their workflows, design solutions, and deploy production-grade AI systems in real environments.

What You'll Do

Partner directly with customers to understand their use cases, identify pain points, and translate needs into actionable technical solutions.
Design and implement agentic workflows powered by LLMs for real-world task execution.
Build customization layers tailored to organization-specific logic and deployment requirements.
Deploy and iterate on LLM-powered pipelines with evaluation and feedback loops in production environments.
Develop voice-based and message-based agents that drive engagement and adoption.
Architect AI pipelines (RAG, prompt engineering, evaluation) and ensure reliable integration into complex infrastructures.
Collaborate closely with product and engineering teams to bring field feedback directly into the product roadmap.
Communicate clearly with both technical and non-technical stakeholders to align on goals and deliver solutions quickly.

What We're Looking For

5+ years of experience in ML (PyTorch, TensorFlow).
2+ years of hands-on experience working with LLMs (Hugging Face, OpenAI, Anthropic).
Proven experience building and deploying production AI systems, including RAG and vector search.
Strong knowledge of prompt engineering, AI safety, and content filtering best practices.
Comfort architecting scalable infrastructure that integrates into complex environments.
Experience working directly with customers to deploy and iterate on technical solutions in real environments.
Excellent communication skills with the ability to explain complex concepts clearly to both technical and non-technical stakeholders.
Proven ability to gather feedback, shape product direction, and collaborate effectively with cross-functional teams.
Experience with REST APIs, PostgreSQL, ActiveRecord, and RSpec.
Thrives in ambiguity, learns quickly, and iterates fast in lean environments.
Excited to work in a small, high-impact team where communication and ownership are key.

Nice to Have

Familiarity with Rails is a plus, but not required.
Understanding of frameworks like LangChain or LlamaIndex, or the ability to learn them rapidly.