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Senior Software Development Engineer, Frontier AI Tools

MindPal·$170,000 – $204,000

Nice to have's

AI/ML-powered product featuressecurity-by-designenterprise SaaS platformsgoverned data products

Job description

About the Position

Senior Software Development Engineer, Frontier AI Tools

Location: Austin, TX

Salary: $170,000 - $204,000 USD/yr

The role will be key to building the products and experiences that will be used by Proserve and Frontier AI organization to deliver business outcomes to our customers. Are you excited about building products that help Proserve and Frontier AI teams understand customer needs, develop the right solutions, and deliver them at scale? We are looking for a Sr. Software Development Engineer to build the solutions that span across Proserve, Frontier AI and services teams within AWS Sales, Marketing, and Services. You will define and deliver the tools, platforms, and experiences that enable these teams to deeply understand customer challenges, rapidly develop tailored solutions, and orchestrate delivery - directly accelerating AWS's delivery of business outcomes to our customers.

This role given the opportunity to drive AI driven transformation to all the processes from sales to delivery to customer outcomes across many roles that in involved in a Customer deployment. A successful candidate combines ability to review multiple proof of concepts being developed at the frontline and incorporate them in core product architecture in partnership with Product Managements. You should be comfortable making calls in a fast-moving environment where the playbook is being written in real time. This is a hands-on position - the ideal candidate must be willing to balance speed of delivery with performance and scalability.

Responsibilities

  • Own the technical design, implementation, and operational health of platform capability, or delivery workflow
  • Build production-grade software that helps Proserve and Frontier AI teams understand customer context, develop solutions, coordinate delivery, and measure customer outcomes
  • Partner with delivery teams to turn recurring customer needs into reusable software components, APIs, templates, and automation
  • Lead design reviews and make sound tradeoffs across reliability, security, performance, cost, delivery speed, and maintainability
  • Build secure integrations with approved AWS services, internal platforms, customer systems, and governed data products
  • Establish testing, monitoring, logging, alerting, documentation, and incident-response mechanisms for owned systems
  • Partner with Security Engineering to implement security-by-design requirements and remediate identified risks
  • Partner with Product & / or Data engineering to define product instrumentation, event schemas, and data contracts
  • Mentor engineers, provide high-quality code reviews, and raise the technical bar for the immediate team and adjacent Forward Deployed Engineering pods
  • Communicate technical decisions, risks, and delivery progress to engineering, product, GTM, and customer stakeholders

Requirements

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • 3+ years of experience designing and building agentic orchestration or workflow-orchestration systems (multi-step agent workflows, tool/service orchestration, or state management across distributed services)

Nice to Have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Experience building AI/ML-powered product features, including evaluation, accuracy/precision tuning, or reducing hallucination in production AI systems
  • Experience implementing security-by-design, including row-level entitlements or regulated-data handling (e.g., PHI under a BAA)
  • Experience integrating with enterprise SaaS platforms (e.g., Salesforce) or governed data products

We Offer

  • Competitive salary
  • Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave
  • Opportunity to work in a fast-paced, innovative environment
  • Mentorship and career growth opportunities

About the Company

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Amazon values diverse experiences and encourages candidates to apply even if they do not meet all the preferred qualifications. We strive for flexibility as part of our working culture and value work-life harmony. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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