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.

• 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 non technical 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.

• 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

• Hands on 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 .