Job Description
We're looking for an experienced
AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. You'll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a
foundational hire for a technically ambitious platform.
Key Responsibilities
- AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration.
- Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses.
- Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate).
- Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling.
- Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n.
- Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access.
- Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features.
- Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously.
Requirements
Qualifications
Must-Haves
- 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects.
- Strong background in NLP, dialog systems, or voice AI preferably with production experience.
- Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.).
- Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow).
- Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic.
- Familiarity with voice processing (ASR, TTS, IVR design).
- Solid understanding of API-based integration and microservices.
- Deep care for data privacy, multi-tenancy security, and ethical AI practices.
Nice-to-Haves
- Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs.
- Knowledge of sales pipelines and marketing automation tools.
- Exposure to calendar integrations (Google Calendar API, Microsoft Graph).
- Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic.
- Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure).
Benefits
What We Offer
- Founding team role with strong ownership and autonomy
- Opportunity to shape the future of AI-powered sales
- Flexible work environment
- Competitive salary
- Access to cutting-edge AI tools and training resources
- Post your resume and any relevant project links (GitHub, blog, portfolio) to [Confidential Information] . Include a short note on your most interesting AI project or voicebot/conversational AI experience.
Experience: 5 – 12 years
Salary Range: 40 – 60 Lacs P.A.
Location: Kolkata , Sector V
check(event) ; career-website-detail-template-2 => apply(record.id,meta) mousedown=lyte-button => check(event) final-style=background-color:#f15d22;border-color:#f15d22;color:white; final-class=lyte-button lyteBackgroundColorBtn lyteSuccess lyte-rendered=>
