About the Role
We are building a next-generation multi-tenant SaaS CRM platform designed to automate communication, boost lead intelligence, and deliver AI-driven insights for sales and support teams.
We’re looking for an AI Engineer with 1–2 years of hands-on ML/NLP experience who is excited to build intelligent workflows, automation layers, and chatbot-driven experiences for a high-scale production environment.
What You’ll Work On:
- Build and fine-tune conversational chatbots for CRM workflows and customer engagement.
- Develop automation pipelines for summarization, lead scoring, recommendations, and agent assistance.
- Implement NLP/NLU components: classification, entity extraction, sentiment analysis, context handling.
- Design and maintain vector embeddings, similarity search, and RAG-based retrieval layers.
- Integrate AI models with backend systems (Node.js/Next.js, REST APIs, event-driven automation).
- Optimize prompts, model routing, and structured outputs for accuracy and consistency.
- Build monitoring tools to reduce hallucinations and track model performance.
- Support internal tools for data cleaning, labeling, and QA automation.
- Develop scalable inference pipelines for cloud or serverless environments.
- Collaborate across product, backend, and frontend teams to shape user-facing AI features.
What We’re Looking For
- 1–2 years of experience in Machine Learning, NLP, or Applied AI.
- Strong Python skills (FastAPI/Flask), transformer models, embeddings, NLP pipelines.
- Experience with LLMs and vector databases (Pinecone, Weaviate, pgvector, Qdrant).
- Familiarity with OpenAI/Anthropic/HuggingFace APIs.
- Strong understanding of prompt engineering and LLM workflow design.
- Experience with asynchronous queues (BullMQ, Redis) and event-based systems.
- Knowledge of preprocessing, tokenization, and fine-tuning smaller ML models.
- Solid debugging skills and ability to optimize inference for performance and cost.
- Comfort with Git, CI/CD, and collaborative development workflows.
Nice to Have
- Experience building chatbots for CRM, sales, or support.
- Knowledge of RAG systems and memory components.
- Exposure to multi-tenant SaaS architecture.
- Experience with analytics, behavioral data, and model evaluation frameworks.
- Interest in autonomous agents, workflow orchestration, or AI dashboards.
Job Type: Full-time
Pay: From Rs100,000.00 per month
Application Question(s):
- Are you willing to work on-site in the night shift from 6:00 PM to 3:00 AM? If not, you will not be shortlisted for this role
Education:
Experience:
- relevant: 1 year (Preferred)
Work Location: In person