{"id":2802429,"url":"https://alion.io/job/techolution-senior-conversational-ai-engineer-2","title":"Senior Conversational AI Engineer","company":{"id":3808080,"name":"Techolution","domain":"techolution.com","url":"https://alion.io/company/techolution","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Vertex AI","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-17T04:47:39Z","employer_posted_date":null,"last_verified_at":"2026-08-17T04:47:39Z","board_verified":false,"closed_at":null,"days_open":72,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":72},"description":"We are looking for a Senior Conversational AI Engineer with strong hands-on experience building and supporting enterprise conversational and voice AI solutions using Google Dialogflow CX and the Google CCAI / Customer Engagement ecosystem.\n\nThis is a hands-on engineering role for someone who has worked on real enterprise contact-center implementations that have gone into production, not only POCs or chatbot prototypes.\n\nYou will help modernize traditional IVR and contact-center experiences into intelligent voice and conversational AI solutions using Dialogflow CX, Google Customer Engagement/CX capabilities, Gemini, Vertex AI and RAG.\n\nThe ideal candidate has recently designed and developed conversational solutions, understands how the conversational layer integrates with telephony/contact-center platforms and enterprise backend systems, and has experience supporting solutions in production at enterprise scale.\n\nDesignation: Senior Conversational AI Engineer\n\nLocation: Remote Work\n\nEmployment Type: Full Time\n\nWhat You Will Do:\n\n- Design and develop enterprise voice and conversational AI solutions using Dialogflow CX and Google CCAI / Customer Engagement technologies.\n\n- Build complex Dialogflow CX implementations covering flows, pages, intents, entities, routes, parameters, session handling, fulfillment, fallbacks and multi-turn conversations.\n\n- Modernize traditional IVR/contact-center journeys into AI-powered voice and conversational experiences.\n\n- Design conversational journeys for use cases such as customer service, self-service, transactional workflows and human-agent escalation.\n\n- Integrate Dialogflow/Google conversational solutions with contact-center and telephony platforms such as Genesys, NICE CXone, Cisco or similar enterprise platforms.\n\n- Implement live-agent handoff, context/session transfer and escalation between virtual agents and human agents.\n\n- Integrate conversational solutions with enterprise systems through REST APIs, webhooks and fulfillment services using Python and/or Node.js.\n\n- Work with STT/TTS and enterprise voice integrations for production voice-bot implementations.\n\n- Use Gemini, Vertex AI and Google generative conversational capabilities to enhance customer interactions.\n\n- Design and implement RAG/enterprise knowledge retrieval patterns to provide grounded responses and reduce hallucinations.\n\n- Apply appropriate deterministic vs. generative conversational patterns based on the business use case, risk and customer experience.\n\n- Troubleshoot production issues across conversational flows, integrations, APIs, voice/telephony and LLM-based components.\n\n- Participate directly in client discovery and translate business/contact-center requirements into practical conversational solution designs.\n\n- Work with architects, backend engineers, cloud/data teams and client stakeholders from design through production implementation and support.\n\nMust-Have Experience:\n\n- 3+ years of hands-on Conversational AI / Voice AI experience, with recent experience in the Google ecosystem strongly preferred.\n\n- Strong hands-on development experience with Dialogflow CX.\n\n- Experience working on at least one enterprise Conversational AI / CCAI solution that has gone into production.\n\n- Experience building voice bots and/or contact-center conversational solutions, not only web chatbots.\n\n- Strong understanding of Dialogflow CX architecture, including intents, entities, flows, pages, routes, parameters, fulfillment, session management, fallbacks and multi-turn conversations.\n\n- Experience integrating conversational AI with a contact-center/telephony platform such as Genesys, NICE CXone, Cisco or equivalent.\n\n- Experience with human-agent handoff and conversation/context transfer.\n\n- Hands-on API/webhook/fulfillment integration experience using Python and/or Node.js.\n\n- Understanding of STT/TTS and voice AI architecture.\n\n- Experience with Gemini, Vertex AI, CX Agent Studio/Google Customer Engagement capabilities, Playbooks or similar Google generative conversational technologies.\n\n- Practical understanding of RAG, grounding, enterprise knowledge retrieval and hallucination reduction.\n\n- Experience working with enterprise customers and translating business requirements into conversational flows and technical approaches.\n\n- Experience troubleshooting and supporting production conversational AI applications.\n\nStrongly Preferred:\n\n- Experience with 2+ enterprise Dialogflow CX / Google CCAI implementations.\n\n- Experience supporting high-volume production conversational platforms.\n\n- Experience modernizing legacy IVR - Dialogflow CX / AI-powered voice experiences.\n\n- Recent experience with CX Agent Studio / Google Customer Engagement / Gemini-based conversational solutions.\n\n- Experience with Agent Assist or human-agent augmentation.\n\n- Exposure to Agentic AI, tool/function calling and multi-step agent workflows.\n\n- Google Cloud experience across services commonly integrated with conversational AI solutions.\nSkills\nMachine Learning, Python, Dialogflow, Conversational AI, Artificial Intelligence, Speech Recognition, Contact Center Analytics, IP Telephony, 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