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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
Job ID: 147471795
Skills:
state management , React, Gcp, Python, CrewAI, multi-agent systems, ADK, building pipelines for structured and unstructured data, vector databases, LangGraph, RAG-like architectures, granular tracing, LLM-native metrics
Skills:
twilio , Rest Apis, Webrtc, Python, websockets, LLMs, RAG tool calling, Telephony, prompting, webhooks, real-time systems, SIP, evals
Skills:
S3, Sftp, Rest Apis, Python, webhooks, batch data pipelines
Skills:
Ml, Scheduling Tools, Javascript, Python, telephony systems, agent optimization, RAG systems, CRMs, Ai, LLM prompting, full-stack integrations, ERPs, workflow automation, conversational design
Skills:
Aws Lambda, Graphql, Unit Testing, Prometheus, Cloud deployment, Data Modeling, Grafana, Sql, Devops, REST, Typescript, Javascript, Python, Data Mapping, Google Cloud Functions, microservices architecture, webhooks, API integrations, event-driven architecture
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