Unit Manager - Technology as a Business, Senior Unit Manager - Technology as a Business

About the role

Job Purpose The Senior AI Engineer role exists to design, build, and operationalize production-grade AI models and pipelines, enabling scalable Voice AI and Generative AI solutions aligned with business use cases. The role focuses on hands-on development, optimization, and deployment of AI systems, translating architectural vision into robust, high-performing solutions. Duties and Responsibilities • Build and deploy Speech AI and LLM-based systems (STT, TTS, S2S, dialogue orchestration) • Implement production-grade pipelines for inference, fine-tuning, and model lifecycle • Work on low-latency, high-throughput model serving (real-time voice systems) • Optimize models using quantization, distillation, pruning techniques • Integrate LLMs/SLMs into voice workflows (prompting, chaining, orchestration) • Develop emotion-aware dialogue handling logic and fallback strategies • Support voice biometrics and anti-spoofing system implementation • Work closely with Product and Lead AI to translate business problems into AI solutions • Ensure model performance, monitoring, observability, and continuous improvement • Build and convert POCs into stable production deployments (no demo-only work) • Follow best practices in MLOps, versioning, and reproducibility Key Decisions / Dimensions • • Model implementation choices (fine-tune vs prompt vs orchestration) • Selection of frameworks, libraries, and deployment patterns • Trade-offs between performance vs cost vs scalability • Decisions on model optimization techniques (quantization, distillation, etc.) • Integration approach for LLMs with speech pipelines • Handling edge cases in dialogue flow and failure scenarios Major Challenges • Making models production-ready (latency, stability, cost) — not just proof of concept • Handling noisy real-world voice inputs across languages and dialects • Balancing accuracy vs latency vs infra cost constraints • Integrating multiple AI components (STT + LLM + TTS) without breaking flow • Managing model degradation and continuous learning loops from failures • Working within real-world infra limitations (GPU availability, edge constraints) Required Qualifications and Experience • Bachelor’s or Master’s degree in Computer Science, AI, or related field • Experience: 3–6 years in AI/ML with strong hands-on delivery • Strong experience in Speech AI (STT, TTS, S2S) • Hands-on experience with LLMs/SLMs (OpenAI, HuggingFace, LangChain) • Experience in real-time AI systems / low-latency inference pipelines • Proficiency in Python, PyTorch / TensorFlow • Experience with model optimization (quantization, distillation) • Knowledge of MLOps, deployment pipelines, and model monitoring • Understanding of dialogue systems and conversational AI flows • Exposure to voice biometrics / anti-spoofing (good to have) Nice to Have • Experience with Indic languages / dialect-heavy environments • Hands-on work in production AI (not just research/POC) • Exposure to edge AI / on-device deployment

What you’ll do

• Design, build, and deploy Speech AI and LLM‑based systems
• Implement production‑grade pipelines for inference, fine‑tuning, and model lifecycle
• Optimize models for low latency and high throughput using quantization, distillation, and pruning
• Integrate LLMs into voice workflows with prompting and orchestration
• Develop emotion‑aware dialogue handling and fallback strategies
• Support voice biometrics and anti‑spoofing implementations
• Collaborate with Product and Lead AI to translate business problems into AI solutions
• Monitor model performance, observability, and continuous improvement

What you’ll bring

• 3-6 years AI/ML experience
• Strong experience in Speech AI (STT, TTS, S2S)
• Hands‑on with LLMs/SLMs (OpenAI, HuggingFace, LangChain)
• Real‑time low‑latency inference pipelines
• Proficiency in Python and PyTorch/TensorFlow
• Model optimization (quantization, distillation)
• MLOps and deployment pipeline expertise
• Understanding of dialogue systems

Skills

Education

Bachelor's or Master's degree in Computer Science, AI, or related field