Application Engineering Technical Lead - II

We are building chat and voice experiences that our clients will love, leveraging GenAI and deterministic dialogs.   

Success in this role will involve leaning into ambiguity and cutting-edge architectures, providing hands-on technical leadership for the design and delivery of modern applications, including GenAI-powered solutions. 

This role will lead the development of conversational AI experiences using technologies such as: LangGraph and related frameworks for voice and chat, while partnering closely with engineers, product, and stakeholders to deliver secure, scalable, and high-quality solutions. 

The Tech Lead will set engineering standards, guide solution architecture in partnership with a fantastic team of architects, mentor developers, and remain actively involved in building and evolving applications that leverage emerging AI capabilities. 

Responsibilities  

• Serve as a technical lead on the team, setting engineering standards and mentoring junior developers.  

• Design, build, and maintain full stack applications, translating complex technical requirements into high quality, scalable solutions.  

• Ensure smooth integration of multiple data sources, APIs, and services to improve system efficiency and user experience.  

• Create and maintain detailed documentation to help cross functional teams understand system architecture, logic flows, and design decisions.  

• Deploy code to development, test, and production environments on schedule; provide follow-up support and complete change control documentation.  

• Ensure proper observability and monitoring practices are implemented; contribute to maintaining the production support playbook. 

• Apply a thorough understanding of software development methodologies, architectural standards, and best practices.  

• Train and mentor experienced developers; assist with resolving escalated technical issues.  

• Communicate effectively across technical and nontechnical audiences, tailoring the level of detail to the audience’s needs.  

• Advocate and implement best practices for application security, data protection, performance, and resilience across the full stack.  

• Participate in special projects and perform other duties as needed.  

• Apply modern AI capabilities—including LLMs, prompt engineering, agentic systems, and AWS AI services (e.g., SageMaker, Bedrock, Arize)—to enhance automation, intelligence, and system performance.  

• Demonstrate a passion for problem-solving and the ability to navigate ambiguity while driving clarity and direction.  

• Leverage a broad understanding of business functions, user needs, and enterprise technologies to guide solution design. 

Qualifications & Skills 

• Minimum 5 years of experience in full stack development.  

• Strong experience designing and developing applications across both client side and server side components, using technologies such as TypeScript, JavaScript, Node.js, Python, APIs, and related services.  

• Experience with LangGraph and related frameworks for voice and chat 

• Handson experience with cloud services (ideally AWS) and distributed application architecture.  

• Experience with modern AI/ML technologies including LLMs, prompt engineering, agentic patterns, and AWS AI services.  

• Proficiency in debugging, performance tuning, and end-to-end solution troubleshooting.  

• Strong understanding of application security, observability, and best practice.