About the Role :

We are seeking an experienced and visionary Engineering Manager to lead the development of our cutting-edge AI Agentic product focused on Conversational Intelligence. In this strategic role, you will build, architect, and manage a high-performing engineering team while driving the technical vision and product excellence. You will be responsible for both technical leadership and people management, fostering innovation while delivering world-class AI solutions.

Key Responsibilities :

- Build and manage a talented engineering team, conducting recruitment, onboarding, and continuous skill development

- Architect scalable and robust technical solutions for AI agentic systems and conversational intelligence platforms

- Define technical roadmaps, establish best practices, and ensure code quality across the team

- Collaborate closely with product, design, and other stakeholders to translate requirements into elegant technical implementations

- Lead technical design reviews, architecture discussions, and foster a culture of continuous improvement

- Drive innovation in AI/ML applications, Natural Language Processing (NLP), and conversational AI systems

- Ensure system reliability, performance optimization, and adherence to security and compliance standards

- Mentor and develop team members, providing career growth opportunities and fostering technical excellence

- Communicate effectively with leadership on technical progress, challenges, and strategic initiatives

Required Qualifications :

- 7+ years of software engineering experience with at least 3+ years in engineering management or technical leadership roles

- Strong background in building and scaling distributed systems, microservices, and cloud-based architectures

- Demonstrated expertise in AI/ML technologies, including experience with large language models (LLMs) and NLP

- Experience building conversational AI systems, chatbots, or similar intelligent systems

- Proficiency in modern programming languages (Python, Java, Go, Node.js, or similar)

- Proven track record in hiring, developing, and retaining high-performing engineering teams

- Strong communication and cross-functional collaboration skills

- Experience with modern development practices including CI/CD, containerization (Docker/Kubernetes), and version control

- Track record of delivering high-quality products on schedule

Preferred Qualifications :

- Deep knowledge of SIP (Session Initiation Protocol) and VoIP technologies

- Experience with CCaaS (Contact Center as a Service) platforms and related telecommunications infrastructure

- Familiarity with real-time communication systems, media processing, or streaming technologies

- Experience with webhook integration and event-driven architectures

- Knowledge of telecommunications standards and compliance requirements (HIPAA, GDPR, etc.)

- Experience with prompt engineering, fine-tuning LLMs, or retrieval-augmented generation (RAG) systems

- Background in building APIs, SDKs, or developer tools

- Master's degree in Computer Science, Engineering, or related field

Technical Stack & Platforms (Experience with any of these is a plus) :

- Languages : Python, Java, Go, C++, JavaScript/TypeScript

- Cloud Platforms : AWS, Google Cloud, Azure

- Messaging/Streaming : Apache Kafka, RabbitMQ, Redis, AWS SQS

- Databases : PostgreSQL, MongoDB, Elasticsearch, DynamoDB

- ML/AI Frameworks : TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI/Anthropic APIs

- DevOps & Infrastructure : Kubernetes, Docker, Terraform, Jenkins, GitHub Actions

- Monitoring & Observability : Datadog, New Relic, Prometheus, ELK Stack

What We're Looking For :

- A strategic thinker who can balance immediate delivery with long-term technical vision

- A people leader with a passion for developing talent and building inclusive, high-performing teams

- An architect at heart who enjoys solving complex technical problems in the AI/conversational intelligence space

- Someone with a growth mindset who thrives in fast-paced, dynamic environments

- A collaborator who works effectively across teams and communicates complex technical concepts clearly