Forward Deployed Engineer

Humach, LLC•Dallas, TX

24d•Remote

About The Position

As a Forward Deployed Engineer (FDE) at Humach, you will work at the intersection of software engineering, applied AI, and real-world deployments. This is a hands-on engineering role focused on building, configuring, and deploying AI agents and supporting systems into production environments. You will work closely with senior engineers, product, and data teams to implement agent workflows, integrate models and tools, and ensure solutions are reliable, scalable, and maintainable. This is not a sales engineering or demo role. You will write production code and own real systems. This is a fully remote position open to candidates who currently reside in Iowa, Wisconsin, Illinois, Texas, Florida, New Jersey, Michigan, and Minnesota.

Requirements

2–4+ years of professional software engineering experience.
Strong backend engineering skills (Python and/or TypeScript).
Experience building APIs, services, or event-driven systems in production.
Hands-on experience working in cloud environments (AWS preferred).
Familiarity with modern AI platforms and services, including LLM providers and voice/speech systems (e.g., ElevenLabs, OpenAI, Whisper, similar).
Experience integrating third-party APIs and external services into production systems.
Comfort working across code, configuration, prompts, and infrastructure.
Ability to operate in ambiguous problem spaces and iterate toward working solutions.
Strong ownership mindset and bias toward shipping real systems.

Nice To Haves

Direct experience building or deploying LLM-powered applications.
Experience with agent frameworks, orchestration layers, or tool-calling systems.
Experience with voice, conversational AI, or real-time systems.
Exposure to infrastructure-as-code, CI/CD pipelines, or production monitoring.
Experience with contact center platforms (AWS Connect, NICE, Genesys).

Responsibilities

Build and deploy AI agents using large language models (LLMs).
Implement backend services and APIs to support agent workflows.
Develop and refine prompts, tools, and context strategies for agent reliability.
Configure and extend agent orchestration (state management, tool calling, memory).
Integrate third-party services and AI platforms (e.g., voice, speech-to-text, messaging).
Deploy and operate services in AWS, including monitoring and basic DevOps workflows.
Work on real customer problems with incomplete requirements and iterate toward solutions.
Collaborate closely with senior engineers to learn system design and production patterns.