Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.
Location: Onsite – Rhode Island (RI) or Arizona (AZ), USA
Position Type: Senior / Lead – 1 Position
We are seeking a hands-on Senior/Lead Backend Engineer with strong experience in AI agents and agentic workflows to design and build scalable backend services and AI-powered solutions. The ideal candidate will combine strong backend engineering skills with practical experience integrating LLMs, tool-calling, and AI agent workflows, while working closely with Product and Business stakeholders.
Key Responsibilities- Design, develop, and maintain scalable backend services using Node.js/TypeScript and/or Python.
- Build and integrate AI agents, agentic workflows, and LLM-powered applications.
- Implement LLM tool/function calling, prompt engineering, evaluation frameworks, and AI workflow orchestration.
- Develop and integrate REST APIs, microservices, and event-driven services.
- Design reliable integrations across AI services, enterprise applications, databases, and external systems.
- Partner directly with Product and Business teams to translate requirements into technical solutions.
- Provide technical leadership, code reviews, architecture guidance, and hands-on development.
- Lead and mentor an offshore engineering pod, ensuring delivery quality and alignment with project objectives.
- Monitor, troubleshoot, and optimize backend and AI workloads for performance, scalability, and reliability.
- 7+ years of backend/software engineering experience, with experience in a Senior/Lead capacity.
- Strong hands-on development experience with Node.js/TypeScript and/or Python.
- Practical experience building AI agents and agentic workflows using LLMs.
- Strong understanding of LLM tool/function calling, prompt design, and AI evaluation techniques.
- Experience developing and consuming REST APIs and working with event-driven architectures/services.
- Strong understanding of microservices, distributed systems, and backend architecture.
- Excellent communication and stakeholder-management skills, with the ability to work directly with Product and Business teams.
- Experience leading or coordinating offshore engineering teams/pods.
- Ability to work onsite in Rhode Island or Arizona, USA.
- Experience with LLM/AI platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience with RAG, vector databases, embeddings, and AI orchestration frameworks.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with CI/CD, containers, Kubernetes, and observability tools.
Similar Jobs
Artificial Intelligence • Fintech • Software • Travel
Own and convert inbound group travel leads from initial inquiry through booking completion. Coordinate hotel communications, RFPs, timelines, logistics, and issue resolution while maintaining customer satisfaction. Track client and booking activity in CRM tools, identify upsell opportunities, and collaborate with Sales, Customer Success, and Supplier Relations. The role also involves educating prospects on the platform, proactively communicating status updates, and recommending process improvements in a fast-paced travel technology environment.
Top Skills:
Crm ToolsHubspotSalesforce
Artificial Intelligence • Fintech • Software • Travel
Own and grow a portfolio of hotel chains, property management groups, ownership groups, and key lodging partners. Manage relationship cadence, QBRs, performance reviews, escalations, activation, revenue growth, and expansion opportunities. Monitor partner metrics, address underperformance, coordinate with Product, Engineering, Pricing, Connectivity, and Operations, and support renewals and commercial discussions. Maintain accurate partner, rate, contract, and pipeline records while tracking lodging distribution and technology trends.
Top Skills:
AIConnectivity IntegrationsHotel Distribution Technology
Cloud • Information Technology • Security • Software • Cybersecurity
Leads regional channel and partner strategy across the Americas to drive customer acquisition, pipeline, and revenue growth. Builds relationships with solution providers, systems integrators, and MSPs/MSSPs; aligns partners with field sales; governs joint business plans, forecasting, QBRs, and MDF investments; develops partner Zero Trust capabilities; and leads Partner Business Managers. Requires extensive enterprise software or cybersecurity channel-sales experience, people management, and regional partner relationships.
Top Skills:
AICloud NetworkingCybersecuritySaaSSalesforceSaseSseZero Trust Exchange
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
