Domain-Specific Chatbot Engineer

চাকরির বিবরণ

You will design and deploy domain-specific conversational AI systems that solve real business problems. Your work spans intent recognition, knowledge base integration, and production-grade chatbot infrastructure built on the latest LLM technology. WorkSprout is a deep-tech engineering and design partner across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering & Collection, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We deliver systems that work in production, not just in demos. Office hours 09:00 – 18:00 BST, Monday to Friday; hybrid in Dhaka, Bangladesh. Applications are reviewed on a rolling basis. To apply, email careers@worksprout.us with the subject "Domain-Specific Chatbot Engineer".

দায়িত্ব

• Design and fine-tune LLM-based chatbots for specific industry domains
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases
• Integrate chatbots with REST APIs, CRMs, and enterprise data sources
• Evaluate response quality, hallucination rates, and latency benchmarks
• Deploy and monitor chatbot services on cloud infrastructure
• Collaborate with product teams to define conversation flows and UX

যোগ্যতা

• Proficiency in Python and LLM frameworks (LangChain, LlamaIndex)
• Experience with OpenAI, Anthropic, or open-source LLMs (Llama, Mistral)
• Knowledge of vector stores (Pinecone, Weaviate, ChromaDB)
• REST API development and integration experience
• Strong understanding of prompt engineering and evaluation techniques
• Nice to have: Experience with conversational analytics and A/B testing
• Nice to have: Familiarity with Rasa or Botpress frameworks
• Nice to have: Knowledge of multilingual NLP pipelines

সুবিধা

• Work on real-world enterprise AI deployments
• Competitive salary benchmarked to international rates
• Flexible hybrid work arrangement
• Access to latest LLM APIs and compute resources
• Dedicated research and innovation time