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Python Developer- AI Projects CSE

Bengaluru, Karnataka, India💼 Full-time🗓 2026-05-12 → 2026-08-01

Core

Design, develop, and deploy AI-powered voice-enabled customer service solutions and speech analytics pipelines for BFSI and Healthcare clients.

Role type

Customer Success Engineer (AI Projects)

Builds

Voice bots, speech analytics pipelines, and Python-based integrations for enterprise customer service platforms.

Domain

Healthcare Revenue Cycle Management, BFSI, Agentic AI

Deliverable

production ML models | product features

Required skills

Python development, RESTful API design, SQL (MySQL/MSSQL), cloud deployment (Azure/AWS/GCP), Docker, LLM prompt engineering, voice bot development, speech analytics, AI/ML tools

Preferred skills

Advanced degree (M.Tech/MBA), experience in BFSI or Healthcare sectors

Technologies

Python, MySQL, MSSQL, Azure, AWS, GCP, Docker

Responsibilities

Design and develop AI-powered customer service solutions using speech analytics and voice bot technologies; Integrate Contiinex products into BFSI and Healthcare client eco-systems; Create and optimize voice bot workflows; Develop Python-based applications and integrations for customer service automation; Build and maintain speech analytics pipelines; Work closely with US & India Enterprise clients to understand requirements; Translate business requirements into technical specifications; Conduct technical demonstrations and proof-of-concepts; Deploy and integrate voice bot solutions into existing infrastructures; Implement speech analytics tools for call center optimization; Configure and customize Contiinex AI tools for specific industry requirements; Ensure seamless integration with CRM systems, telephony platforms, and other enterprise tools; Develop APIs and middleware for third-party system integrations; Monitor and analyze performance metrics of deployed AI solutions; Conduct quality assurance testing for voice bot interactions and speech analytics accuracy; Optimize model performance based on real-world usage data; Troubleshoot technical issues and provide ongoing support; Implement feedback loops for continuous improvement of AI systems

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