Location Name: Pune Corporate Office - Mantri

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

- Solid 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

📌 Unit Manager - Technology as a Business (Pune)
🏢 Bajaj Finserv Health
📍 Pune