IVR Tech Lead
New
J
JobgetherTelecommunications, conversational AI
Based in IndiaContractLead
Salary not disclosed
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Job Details
- Required Skills
- AWSFull Stack DevelopmentRESTful APIsPrompt Engineering
Requirements
- Have experience leading or contributing to major telecommunications transformation initiatives; telco transformation experience is required.
- Bring full-stack development and backend engineering experience, including modernizing legacy APIs and migrating WCF services to RESTful architectures.
- Understand API integration, middleware services, enterprise systems, and microservices architectures.
- Have experience with prompt engineering and conversational AI development, including API integration with chatbot or voice solutions such as Parloa or comparable platforms.
- Have experience working with cloud platforms, preferably AWS, and modern cloud-based application architectures.
- Have experience leading or mentoring onshore, offshore, or distributed engineering teams.
- Have technical leadership experience across complex technology transformation projects, ideally involving IVR and conversational AI.
- Have experience with technologies such as .NET, Web APIs, middleware services, REST APIs, SQL Server, and GitHub.
- Be familiar with LLMs, agentic AI systems, Retrieval-Augmented Generation (RAG) architectures, and modern DevOps and CI/CD practices.
- Familiarity with React or Angular is beneficial; experience with Parloa, Amazon Q, Amazon Bedrock, Webex, cloud contact center technologies, or Salesforce is preferred or a plus.
Responsibilities
- Provide technical leadership, mentorship, and code-quality oversight for offshore full-stack engineers and AI developers.
- Drive daily execution and delivery across API integration, backend engineering, and conversational AI workstreams.
- Coordinate with onshore solution architects, platform leads, and engineering managers on technical direction and delivery priorities.
- Lead legacy-system modernization, including wrapping WCF services with RESTful APIs and integrating enterprise APIs with conversational platforms.
- Oversee middleware and connector development and alignment across API specifications, data contracts, and message formats.
- Guide prompt engineering, LLM tuning, and conversational flow optimization for voice and chat experiences.
- Lead integrations involving conversational AI, chatbot, agent, and cloud-based AI platforms such as Parloa, Amazon Q, and Amazon Bedrock.
- Contribute to complex API integrations, payload mapping, backend logic, and cloud service development.
- Support technical documentation, testing, deployment, and improvements to CI/CD pipelines and development processes.
- Monitor project progress, resolve technical challenges, and contribute to architecture and design decisions.
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