Design and deliver AI-powered features for AWS documentation authoring, build and maintain high-quality code, and collaborate with product and service teams to improve documentation quality and authoring speed.
Compensation
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
Responsibilities
Design and deliver AI-powered features for AWS documentation authoring, from working backwards with customers through deployment and operations.
Write high-quality, well-tested code that meets the Amazon Code Bar, using AI coding tools with judgment and owning the result.
Build evaluations and guardrails that measure and improve the accuracy of AI-generated content.
Measure whether the features you ship improve documentation quality and authoring speed for service teams.
Design solutions to difficult problems, seeking guidance to align with the team's long-term architecture.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Nice to have: Full software development life cycle experience
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Own the quality of our Agents end to end, reviewing evals, collecting feedback, defining high-quality outcomes, and shipping improvements across evaluations, prompts, skills, model configuration, and TypeScript codebase.
Compensation
The base salary for this role is $115,000–$165,000.
Responsibilities
Define what good looks like for agents by reviewing production evals and customer feedback.
Build trustworthy evaluations by turning customer needs into representative scenarios and rubrics.
Ship improvements by updating prompts, skills, and agent behavior, and contributing reviewed code.
Make decisions on new models by comparing them against real tasks for quality, safety, latency, and cost.
Own the feedback loop with customers to turn recurring friction into product changes.
Build and grow the community of customers, developers, partners, and advocates around MeshMesh, creating spaces, programs, and conversations that turn users into champions.
Compensation
The typical base salary range for this position is $123,100 - $186,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $147,400 - $202,600 annually.
Responsibilities
Define and execute the community strategy, including goals, programs, and metrics for engagement, adoption, and advocacy.
Build and manage community spaces such as Slack channels, forums, events, and user groups.
Partner with Solution Engineering to apply agentic solution engineering to community, turning AI-built demos, prototypes, and proofs of value into sample projects, starter kits, and hands‑on workshops for members.
Design and deploy community agents that use AI to answer common questions, route issues, welcome new members, surface helpful content, and summarize conversations, with human oversight and clear escalation paths.
Plan and host events, office hours, AMAs, hackathons, and virtual and in‑person meetups.
Join the Platforms Engineering team that builds the shared AI capabilities behind Rockwell's software portfolio, including FactoryTalk Design Studio, FTOptix, and Studio 5000 Logix Designer. You'll build the services, SDKs, and tool interfaces that let product teams ship assistants, content generation, and diagnostics into software that customers run in production.
Compensation
For this role, the Base Salary Compensation is $139680 - 176,600 USD Annual with an annual target bonus of 8% of base salary.
Responsibilities
Design and build platform services, SDKs, and APIs that product teams use to embed AI capabilities in FactoryTalk Design Studio, FTOptix, and Logix Designer.
Build and maintain MCP servers and tool interfaces that give agents governed access to product, build, and test systems.
Develop evaluation suites and regression gates that measure AI feature quality, safety, latency, and cost before release.
Own subsystem design through implementation, test, and production operation, including observability and performance budgets.
Work with product teams, architects, and security to apply OT/ICS constraints such as IP protection, binary signing, and data boundaries to every AI feature.
Requirements
Bachelor's Degree or Equivalent Years of Relevant Work Experience
Nice to have: Software product development
Nice to have: Designing services or APIs that other engineering teams build on
Nice to have: Experience building and evaluating LLM applications
Nice to have: Experience applying secure development practices to features that embed LLMs and agents
T
Senior Software Engineer
True Talent Solutions Partners · Posted Nov 11, 2026
Develop and maintain the WTW ResQ insurance reserving product, focusing on C#/.NET development, WPF desktop applications, integrations and product evolution.
Compensation
For this position, the gross base salary starts from PLN 15 267 PLN Gross per month (full-time employment contract), determined using objective and gender-neutral criteria including skillset, experience and role responsibilities.
Responsibilities
Design, develop and maintain ResQ features using C#, .NET 10 and .NET Framework 4.7.2, including refactoring and defect fixes.
Develop WPF desktop applications and integrations using COM interfaces, SQL Server, SignalR and MassTransit.
Deliver assigned changes, with Team Lead guidance on complex work; maintain technical tasks, estimate effort, conduct technical spikes and flag blockers early.
Participate in scrum planning, refinement, reviews and retrospectives.
Contribute to technical design within WTW’s standards; product-wide architectural decisions remain with WTW.
Tell compelling, outcome-led stories (via demos and product led experiences) that show customers how their business can be reimagined on HubSpot's agentic customer platform.
Lead discovery that uncovers the pain, outcomes and requirements by engaging customers and then earning the right to go deeper
Partner with Account Executives to map the technical buying committee, competitive landscape and path to a decision.
Redesign customers' legacy complexity into a simplified HubSpot architecture that integrates with their wider tech stack.
Design and build working proofs quickly with AI coding tools, Breeze AI agents and the HubSpot developer framework, scoped to clear use cases, success criteria and timelines.
Build and maintain customer-facing experiences that power live online auctions, improving performance, reliability, and technical debt while mentoring teammates.
Locations (2)
Boston, Massachusetts, United States
United States
Compensation
Competitive Compensation: $140,000-170,000 annually plus profit share bonus.
Responsibilities
Build and ship features end-to-end across any tier of the Invaluable platform
Improve quality and maintainability by refactoring legacy areas and reducing technical debt
Own reliability and performance: diagnose production issues, squash bugs, and improve UX
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j, develop parsers and integrations for industrial data, and design interfaces for operators.
Compensation
Salary range: $180,000 to $350,000 annually. Visa sponsorship is available.
Responsibilities
Build and scale backend services and data layers using Go, TypeScript, Postgres, and Neo4j.
Develop parsers and integrations that bring SCADA, PLC, historian, MES, and ERP data into a unified plant model.
Build agent infrastructure and large-scale data ingestion pipelines across AWS and Azure.
Design clear, practical interfaces for industrial operators.
Own features end to end, incorporating customer feedback into product improvements.
Requirements
degree or equivalent experience in computer science
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