Conversational AI Tech Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Conversational AI Tech Lead based in India.

This is a high-impact technical leadership role at the intersection of Conversational AI, software engineering, and intelligent automation. You will lead a team responsible for building and deploying sophisticated chatbots and voicebots for global customers. The role combines hands-on engineering with technical leadership, mentoring, architecture, and delivery oversight. You will work extensively with LLMs, Agentic AI, NLU, speech technologies, APIs, and databases to create production-ready solutions. You will also shape technical standards, governance, reusable IP, and best practices across projects. The environment is fast-paced and collaborative, offering significant opportunities to influence both technology and team capabilities.

• Lead, mentor, and develop a team of Conversational AI Engineers, fostering a collaborative, high-performance culture and supporting individual growth and career development.
• Provide hands-on technical leadership across the design, development, testing, and deployment of complex conversational AI solutions, including chatbots and voicebots.
• Define robust technical architectures, assess feasibility and constraints, identify dependencies, and evaluate APIs, integrations, data sources, and platform capabilities.
• Engineer and optimize prompts while integrating LLMs, Agentic AI, NLU models, APIs, databases, and external platforms to deliver reliable conversational experiences.
• Design and optimize speech technology solutions, including Speech-to-Text (STT), Text-to-Speech (TTS), and telephony integrations.
• Conduct code reviews and architecture audits, ensuring engineering standards, maintainability, security, scalability, and production readiness.
• Manage sprint activities, resolve technical blockers, identify project risks, and support the successful delivery of technical milestones.
• Establish AI governance, guardrails, evaluation practices, and technical standards that support production stability and responsible AI deployment.
• Lead system integrations and development work required to deliver seamless automation and high-quality user experiences across platforms.
• Apply best practices for hybrid conversational systems combining NLU, LLMs, and Agentic AI, while continuously evaluating emerging technologies and approaches.
• Build reusable technical components and intellectual property that improve delivery efficiency and strengthen engineering capabilities.
• Collaborate closely with product, design, and other cross-functional teams to translate business and user requirements into effective technical solutions.
• Maintain clear technical documentation covering architecture, configurations, integrations, deployment procedures, and system dependencies to ensure transparency and reproducibility.

Requirements:

• Strong professional experience in Conversational AI, with hands-on expertise across LLMs, Agentic AI, and NLU-based systems.
• Proven experience working as a Tech Lead, Engineering Manager, or in a comparable technical leadership position, with demonstrated ability to lead and mentor engineering teams.
• Degree or professional background in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
• Deep understanding of AI engineering, LLM application development, Agentic AI, and production deployment.
• Practical experience with Speech-to-Text, Text-to-Speech, voice technologies, and telephony systems.
• Strong proficiency in API integrations, including REST APIs, webhooks, and authentication mechanisms such as OAuth.
• Hands-on prompt engineering experience and the ability to design effective knowledge structures for conversational systems.
• Strong programming skills in Python, JavaScript, and/or TypeScript, with familiarity with JSON and YAML configurations.
• Experience using SQL and/or NoSQL databases to support conversational AI applications and external data retrieval.
• Excellent English communication skills, with the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
• Strong technical documentation skills, including the ability to clearly communicate architectures, configurations, dependencies, and deployment processes.
• Experience with platforms such as Cognigy, Sierra, ElevenLabs, or comparable Conversational AI technologies is advantageous.
• Familiarity with RAG, vector databases, MLOps/LLMOps, model evaluation, observability, and drift monitoring is a plus.
• Knowledge of Git workflows, CI/CD, environment promotion, and DevOps practices is beneficial.
• Experience with AWS, Azure, or GCP is preferred, as is familiarity with agentic frameworks such as LangChain, LlamaIndex, MCP, or tool/function calling.
• Cognigy certification, or willingness to obtain certification shortly after joining, is a plus.
• Proficiency in German, French, or another European language would be an additional advantage.
• A proactive, curious mindset and genuine interest in emerging Conversational AI and Agentic AI technologies.

Benefits:

• Remote work opportunity based in India.
• Opportunity to lead and mentor a specialized Conversational AI engineering team.
• Hands-on exposure to LLMs, Agentic AI, NLU, voice technology, and intelligent automation.
• Opportunity to work on global customer-facing conversational AI solutions.
• Significant technical ownership across architecture, integrations, deployment, and continuous improvement.
• Opportunities to develop reusable technology, establish engineering standards, and influence AI delivery practices.
• Professional growth through exposure to rapidly evolving AI technologies and cross-functional projects.
• Potential support for relevant professional certifications and development opportunities.
• Collaborative, international working environment focused on innovation and technical excellence.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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