Senior Conversational AI Software Engineer

Client: TCS | Engagement: C2C | Work mode: ONSITE | Rate: 75-80 USD | Experience: 12 Years | Visa types: Green Card, Citizen | Publisher job id: 96108

Role Description

• Lead the technical design and implementation of major components of our conversational AI platform (chat and voice) • Own end-to-end delivery of complex features — from design through deployment, monitoring, and iteration • Drive engineering excellence in code quality, testability, performance, scalability, and observability • Perform deep design and code reviews; raise the technical bar across the team • Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines • Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails • Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions • Help deploy, operate, and maintain large-scale software in production with strong operational discipline • Mentor mid-level and senior engineers on advanced technical topics and best practices • Contribute to the long-term technical strategy alongside Principal Engineers and architects

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Required Qualifications

• 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure) • 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc. • 8 years of experience with APIs, microservices, and modern software patterns • 3 years of experience working with cross-functional stakeholders on complex requirements • Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)

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Preferred Qualifications

• Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation • Experience developing and supporting voice and text chatbots, including dialog design at scale • Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations • Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows • Strong communication skills, capable of explaining technical concepts to both engineering and business audiences • Advanced degree (Master''s or PhD) in Computer Science, Engineering, AI, or a related field