Conversational AI Development Manager

9 hours ago


Pune, Maharashtra, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Conversational AI Development Manager

Job Description:

This role is responsible for leading the development of our conversational AI stack from end-to-end. This involves overseeing prompt design, model selection and fine-tuning, evaluation, deployment, and reliability.

The ideal candidate will have strong software engineering skills in Python and experience building production-level LLM applications. They will also have practical experience with prompt engineering, RAG, cloud infrastructure, and vector databases.

Key Responsibilities:
  1. Design conversational pipelines and take features from prototype to production
  2. Write, version, and A/B test prompts; implement guardrails, system instructions, and tool-use strategies
  3. Evaluate and select models; run SFT/LoRA where appropriate; manage versions, rollouts, and fallbacks
  4. Deploy and optimize inference on cloud and specialized accelerators (GPU/TPU/LPU), targeting low latency and predictable cost
  5. Build ingestion pipelines, chunking strategies, embeddings, and metadata for vector search
  6. Set up offline/online evals, red-teaming, safety filters, tracing/telemetry, and cost/latency dashboards
  7. Automate CI/CD for prompts, models, and configs; maintain reproducible environments and strong observability
  8. Work cross-functionally; write clear documentation; mentor teammates on LLM best practices
Requirements:
  • 2+ years of software engineering experience in Python
  • 1+ year building production-level LLM applications
  • Solid experience with cloud infrastructure (preferably GCP)
  • Practical experience with prompt engineering and RAG
  • Vector databases (Pinecone/Weaviate/FAISS), embeddings, retrieval design
  • Containers & orchestration (Docker, Kubernetes); APIs (REST/gRPC); infra-as-code (Terraform preferred)
  • Strong software practices: testing, observability, incident response, and performance tuning
Benefits:
  • Competitive salary with performance bonus and equity
  • Budget for model/inference/eval tooling and observability
  • Learning stipend and conference support
  • High-impact work that shapes a flagship conversational AI product
How We Work:
  • Ship small, measure, iterate; ownership over a focused problem area
  • Tight collaboration with product/design; pragmatic experimentation
  • Some overlap with U.S. Eastern time for key meetings


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