Developer In Software Jobs in Waterloo, WI (NOW HIRING)

• Work directly with customers to understand their workflows, pain points, data environments, and operational constraints.
• Contribute to both the core platform and customer-specific integrations: build reusable capabilities into the product, then adapt and deploy them in each customer's environment.
• Build and deploy AI-enabled applications, agents, and workflow automation, applying AI/ML and LLM techniques such as RAG, guardrails, and evals to deliver reliable customer solutions.
• Translate customer needs into technical requirements, implementation plans, and product feedback for the core engineering team.
• Own delivery from prototype through production, including architecture, backend services, APIs, integrations, observability, testing, deployment, and customer acceptance.
• Integrate with customer systems, data sources, identity providers, and cloud or on-prem infrastructure.
• Partner with product, engineering, security, and customer teams to ensure solutions are secure, reliable, auditable, and operationally useful.
• Debug issues in deployed environments and drive fast resolution across application, infrastructure, data, and integration layers.
• Operate with strong judgment in environments involving sensitive data and business-critical workflows.

• 8+ years of software engineering experience, with a strong foundation in building and shipping production-quality systems.
• Ability to apply AI and ML techniques, including LLM-based approaches such as RAG, guardrails, and evals, to real customer problems.
• Scalable system design experience, ensuring solutions scale reliably as usage, data, and complexity grow.
• Experience with backend engineering, distributed systems, APIs, data pipelines, cloud infrastructure, or applied AI/ML systems.
• Comfort working across the full stack when needed, including backend services, frontend interfaces, infrastructure, integrations, and deployment workflows.
• Ability to operate in ambiguous customer environments and turn unclear requirements into working software.
• Strong technical communication skills with engineers, product teams, executives, and customer stakeholders.
• High ownership, bias for action, and ability to drive outcomes without waiting for perfect requirements.
• Strong debugging instincts and ability to reason across application code, data, infrastructure, networking, and customer systems.
• Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer.

• Career track opportunity with potential for rapid advancement withstrong performanceas the firm grows
• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development and continued learning.
• Optional 401K, FSA, and equity incentives available.
• Mental health benefits are available through 
• Tara Mind .

Demonstrated expertise in software engineering with a focus on building and deploying AI-enabled applications and integrations. Proven ability to translate customer needs into technical solutions while ensuring system reliability, scalability, and security in complex environments.

• 8+ Years of Software Engineering Experience
• AI and ML Techniques Application
• Scalable System Design
• Backend Engineering and Distributed Systems
• Strong Technical Communication Skills

• AI Techniques
• ML Techniques
• LLM-based Approaches
• Backend Engineering
• APIs
• Data Pipelines
• Cloud Infrastructure
• Full Stack Development
• Debugging
• System Design

• Technical Communication
• High Ownership
• Bias for Action
• Problem-Solving
• Judgment in Sensitive Environments

• Production-quality Systems
• Customer Integrations
• Operational Constraints
• Workflow Automation
• Sensitive Data Management

• Cloud Infrastructure
• Integration Systems
• Observability Tools
• Deployment Workflows
• Data Sources