The Role
Build production-ready agentic capabilities for a B2B intelligence platform: extend Hermes Agent, design single- and multi-agent workflows, integrate provider-independent model APIs (Foundry, Bedrock), create evaluation frameworks, modernize agent-driven B2B workflows, and deliver releasable increments with leadership.
Summary Generated by Built In
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Software Engineer to build production-ready agentic capabilities for a B2B intelligence platform, working directly with the CPTO to extend Hermes Agent with new features, skills, tools, and integrations. You will design single-agent and multi-agent workflows, build evaluation frameworks for agent behavior and model performance, modernize existing B2B workflows into reliable agent-driven processes, and integrate model APIs across Microsoft Foundry, AWS Bedrock, and compatible providers. This is a 6-month engagement based in LatAm requiring regular overlap with US West Coast hours.
WHAT YOU WILL DO
- Build features, skills, tools, integrations, and workflows on top of Hermes Agent.
- Modernize selected existing B2B workflows, including information sourcing and newsletter generation, into controlled, end-to-end agent-driven processes.
- Design provider-independent model integrations across Microsoft Foundry (formerly Azure AI Foundry), AWS Bedrock, and compatible model APIs.
- Contribute to model-governance capabilities, including approved models and providers, policy enforcement, permissions, and deployment controls.
- Use GitHub Enterprise and AI-assisted development tools to implement, test, and iterate on agent-driven product capabilities.
- Work closely with leadership to deliver releasable product increments approximately every four weeks.
- Define and run evaluations for agent behavior and model performance, including success criteria, rubrics, regression tests, benchmarks, and failure analysis.
- Design single-agent and multi-agent workflows based on the needs of each use case.
- Integrate agent capabilities into user-facing interfaces, such as Hermes Desktop or CLI tools, as needed.
MUST HAVES
- Hands-on experience building agentic applications or workflows with Hermes Agent, OpenClaw, or another relevant agent framework, with the ability to ramp up quickly on Hermes.
- Senior-level software engineering experience (4+ years) building and shipping production applications or platforms.
- Strong experience with backend or full-stack development, including APIs, integrations, asynchronous workflows, testing, debugging, and system design.
- Experience designing and operating evaluations for LLM or agent-based systems, including identifying failure modes and measuring improvements.
- Experience integrating LLMs through model APIs or cloud model platforms and designing systems that are not tightly coupled to a single provider.
- Demonstrable experience building agent skills, plugins, automations, integrations, or applications. This may come from professional work, internal projects, personal projects, or open-source contributions.
- Strong end-to-end systems thinking and the ability to work effectively with existing products, legacy codebases, and complex edge cases.
- Ability to understand ambiguous business requirements and translate them into practical technical solutions.
- Ability to discuss and demonstrate recent hands-on experiments with agent workflows, including the decisions made, limitations encountered, and results achieved.
- Strong verbal communication and the ability to work directly with executive and product leadership.
- Availability for regular overlap into the US West Coast afternoon.
- Upper-intermediate English level.
NICE TO HAVES
- Direct development experience with Hermes Agent or contributions to its ecosystem.
- Experience with GitHub Enterprise-based AI-assisted development workflows, including graph-based orchestration and configuration of agent instructions, tools, skills, or workspace rules.
- Experience building model-governance, policy-enforcement, or provider-selection capabilities.
- Experience with portable, cloud-native deployment using containers, Kubernetes, or related CNCF ecosystem technologies.
- Experience with Electron applications, CLI tools, or Microsoft Teams and other enterprise messaging integrations.
- Experience running local or open-weight models, including smaller task-specific models.
- Awareness of harness-aware model adaptation or post-training techniques.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
Skills Required
- Hands-on experience building agentic applications or workflows with Hermes Agent, OpenClaw, or another agent framework
- Senior-level software engineering experience (4+ years) building and shipping production applications or platforms
- Strong backend or full-stack development experience, including APIs, integrations, asynchronous workflows, testing, debugging, and system design
- Experience designing and operating evaluations for LLM or agent-based systems, including failure analysis and benchmarks
- Experience integrating LLMs via model APIs or cloud model platforms and designing provider-independent systems
- Demonstrable experience building agent skills, plugins, automations, integrations, or applications (professional, internal, personal, or open-source)
- Strong end-to-end systems thinking and ability to work with existing products and complex edge cases
- Ability to translate ambiguous business requirements into practical technical solutions
- Ability to discuss and demonstrate recent hands-on experiments with agent workflows, decisions, limitations, and results
- Strong verbal communication and ability to work directly with executive and product leadership
- Availability for regular overlap into the US West Coast afternoon
- Upper-intermediate English level
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
