Staff Software Engineer (Product + Platform Development)

Jobtailor; Oregon (WI); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

Professional development

401(k) option

Equity incentives

Parental leave

Job summary

Jobtailor is seeking a seasoned software engineer to design and deliver AI-enabled applications and integrations for diverse customers. You will own delivery from prototype through production, architecting backend services, APIs, data pipelines, and observability while collaborating with product, security, and customer teams.

You will translate customer needs into technical plans, work across full stack as needed, and apply AI/ML techniques (LLMs, RAG, evals) to real problems, ensuring scalable,

Qualifications

• 8+ years of software engineering experience.
• Ability to apply AI/ML techniques to real customer problems.
• Experience with backend engineering and distributed systems.
• Comfort working across the full stack when needed.
• Strong technical communication skills.
• Own delivery from prototype to production including architecture, APIs, and testing.

Responsibilities

• 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.

Skills

8+ years software engineering

AI/ML techniques application

LLM-based approaches

Backend engineering

Distributed systems

APIs & data pipelines

Cloud infrastructure

Full-stack development

Tools

Observability tools

Deployment workflows

Cloud infrastructure management

Job description

• 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.

Requirements

• 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.

Benefits

• 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&nbsp
• Tara Mind .

Core Competencies

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.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

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

Soft Skills

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

Industry Keywords

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

Tools & Technologies

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