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Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 12, 2026. 2070Health scores B on the Alion truth index.

Overview
Company
Impact
Profile match
2070Health is an Indian healthcare venture studio that builds patient-centric healthcare companies from scratch, providing the founding teams, capital and operating support for new ventures in care delivery and health services. It recruits business leads, product managers, software engineers and community outreach managers for its studio companies in Bengaluru, Mumbai, Gurgaon and Delhi. The company is headquartered in Bengaluru, Karnataka, India.

This job is not with 2070 Health

About Contiinex

Contiinex is a fast-growing Agentic AI startup, building private-cloud platform for enterprises in Healthcare Revenue Cycle Management. Our Agentic AI solution help RCM and healthcare provider organizations improve efficiency, and optimize costs. We are looking for a team member who is eager to learn, collaborate, and grow someone who takes ownership, supports the team, and pushes themselves to get better every day. At Contiinex, you’ll have the chance to work on meaningful AI implementations and shape solutions for global enterprises.

Website: www.contiinex.com

Position: Customer Success Engineer - AI Projects

Reporting To: Technical Manager

Location: Bangalore, India

Role Overview

We are seeking a Customer Success Engineer with strong technical expertise in AI projects to drive product delivery of voice-enabled customer service solutions. The ideal candidate will have hands-on experience in BFSI (Banking, Financial Services & Insurance) or Healthcare sectors, with a proven track record of developing and deploying AI-powered customer service solutions.

Key Responsibilities:

Product Development & Engineering

  • Design and develop AI-powered customer service solutions using Contiinex speech analytics and voice bot technologies
  • Integrate Contiinex products into BFSI and Healthcare client eco-system
  • Create and optimize voice bot workflows and attributes for customer interaction scenarios
  • Develop Python-based applications and integrations for customer service automation
  • Build and maintain speech analytics pipelines for customer interaction analysis

Client Engagement & Solution Design

  • Work closely with US & India Enterprise clients to understand their customer service requirements
  • Translate business requirements into technical specifications for AI-powered solutions
  • Conduct technical demonstrations and proof-of-concepts for prospective clients
  • Support pre-sales & integration activities with technical expertise

Implementation & Integration

  • Deploy and integrate voice bot solutions into existing customer service infrastructures
  • Implement speech analytics tools for call center optimization and customer insights
  • Configure and customize Contiinex AI tools for specific industry requirements (BFSI/Healthcare)
  • Ensure seamless integration with CRM systems, telephony platforms, and other enterprise tools
  • Develop APIs and middleware for third-party system integrations

Quality Assurance & Optimization

  • 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 and feedback
  • Troubleshoot technical issues and provide ongoing support for deployed solutions
  • Implement feedback loops for continuous improvement of AI systems

Required Qualifications:

Educational Background

  • B.Tech/B.E in Computer Science, Electronics, Information Technology, or related technical field
  • Advanced degree (M.Tech/MBA) preferred but not mandatory

Technical Skills:

Core Programming

  • 3-5 years of hands-on Python development experience
  • Experience with RESTful API development and integration
  • Manage database operations, including schema design, optimization, and queries using MySQL/MSSQL.
  • Design, develop, and deploy cloud-based solutions, with a working knowledge of Azure/AWS/GCP deployments.
  • Hands-on experience with Docker for application deployment and scaling.
  • Experience with writing LLM prompts, and speech bot workflows.

AI & Speech Technologies:

  • Hands-on experience with voice bot development and deployment
  • Working knowledge of speech analytics tools and platforms
  • Familiarity with AI/ML tools
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