Requirements
Must have strong experience in Conversational AI, including Agentic, LLMs and NLU. Requires a degree or equivalent experience in Computer Science or Software Engineering. Proven leadership experience as a Tech Lead or Engineering Manager is essential. Expertise in AI Engineering, LLMs, Agentic AI, production deployment, Speech Tech (STT/TTS), telephony, API integration (REST, Webhooks), and prompt engineering is required. Fluent English and strong communication skills are necessary, along with the ability to document architectures and deployments clearly.
Description
About The TeamOur Conversational AI team designs, builds, and optimizes a growing portfolio of chatbots and voicebots for global brands. We're expanding and looking for new people to join us on the delivery side.Role purposeThe Conversational AI Tech Lead functions as a player-coach, balancing hands-on software engineering with leading, mentoring, and managing the Conversational AI Engineering team responsible for developing and deploying Conversational AI solutions (chatbots and voicebots), using LLMs, Agentic AI, and NLU models.This role will drive technical architecture, prompt engineering, and API integrations for voice/chatbots, while implementing best practices and ensuring high-quality, secure deliverables. It combines expertise in prompt engineering, knowledge base structuring, and system integration to enable end-to-end automation and continuous improvementJob ResponsibilitiesLead and mentor a team of Conversational AI Engineers, promoting a collaborative, high-performance cultureConduct code reviews and architecture audits to ensure code quality and adherence to standardsManage sprint tasks, resolve technical blockers, and manage project risksDrive technical excellence by building reusable IP and elevating team capabilitiesEvaluate performance and map growth paths for engineersExecute hands-on development of complex conversational AI voice/chatbotsEngineer prompts and integrate with LLMs, APIs, and databasesDesign robust system architectures and optimize STT/TTS configurationsEnforce AI governance and guardrails for production stabilityCollaborate with cross-functional teams including design and product managementResponsible for system integrations for seamless automation across platformsTechnical Documentation Analysis and feasibility Check: assesses technical feasibility and architecture constraintsEvaluates integrations, APIs, data sources, and platform capabilities. Defines initial system architecture and dependenciesApply LLM and Agentic AI knowledge technical best practices and recommendations for hybrid bots (NLU x LLM)Responsible for any development required to support the project's user experience, as well as for implementing new integrationsDocuments architectures, configurations, and deployment processes to maintain transparency and reproducibilitySkills And QualificationsMust haveStrong experience in Conversational AI, including Agentic, LLMs and NLUDegree or background in Computer Science, Software Engineering or equivalent experienceProven leadership experience as a Tech Lead or Engineering ManagerDeep expertise in AI Engineering, LLMs, Agentic AI, and production deploymentExperience with Speech Tech (STT/TTS) and telephonyProficiency in API integration (REST, Webhooks) and prompt engineeringFluent English with strong communication skillsAbility to clearly document architectures, configurations, and deployment proceduresTechnical stackPython / JavaScript / TypescriptJSON or YAML Used to configure nodes, inputs, outputs, and API payloadsSQL / NoSQL queries For accessing databases when the bot needs external informationAPI Integration: RESTful APIs, Webhooks, OAuth authenticationIdeally previous experience with Cognigy, Sierra, Elevan Labs or similarNice to haveCognigy certification (or willingness to certify within the first weeks)Experience with RAG and vector databasesFamiliarity with MLOps / LLM Ops (model versioning, evaluation pipelines, drift monitoring, observability)DevOps fundamentals (Git workflows, CI/CD, environment promotion dev → UAT → prod)Working knowledge of a major cloud (AWS, Azure or GCP)Experience with agentic frameworks (LangChain, LlamaIndex, MCP, tool/function calling)Proficiency in German, French or another EU language would be considered a plusA proactive attitude and passion for emerging Conversational and Agentic AI trendsAbout UsFoundever™ is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we're the team behind the best experiences for +750 of the world's leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers.