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.
Technical Stack
- PyTorch
- TensorFlow
- LLMs
- Hugging Face
- OpenAI
- Anthropic
- RAG
- REST APIs
- PostgreSQL
- ActiveRecord
- RSpec
- LangChain
- LlamaIndex
Team & Environment
You'll be joining a small, high-impact team.
Benefits & Compensation
- Retirement/401k
- Health Insurance
- Vision Insurance
- Dental Insurance
Ant-Tech is an equal opportunity employer.



