Forward Deployed Engineer

Humach is reinventing customer experience with emotionally intelligent AI agents, and they are seeking a Forward Deployed Engineer to work at the intersection of software engineering and applied AI. This hands-on role involves building, configuring, and deploying AI agents into production environments while collaborating with senior engineers and product teams.

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

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
• 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)