Machine Learning & NLP Engineer (Chatbots & Agentic AI)

Job Description

Title: Machine Learning & NLP Engineer (Chatbots & Agentic AI)

Company Name: Intellica Bangladesh Limited

Vacancy: 2

Age: Na

Job Location: Rajshahi (Putia)

Salary: Tk. 30000 - 50000 (Monthly)

Experience:

• 1 to 2 years
• Freshers are also encouraged to apply.

• Bachelor of Science (BSc) in Computer Science & Engineering

• 1 to 2 years
• Freshers are also encouraged to apply.

• Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) and RAG optimization techniques is preferred.
• Familiarity with frontend integration using React and TypeScript, and knowledge of cloud-scale infrastructure (Kubernetes, serverless, Terraform, message queues) will be an advantage.
• Understanding of observability tools (OpenTelemetry, structured logging), security and governance practices (secrets management, PII protection, bias checks), and MLOps workflows (model registries, feature stores, drift detection) will be highly valued.

Job Context: Intellica Bangladesh Ltd. is looking for two passionate and skilled Machine Learning & NLP Engineers (Chatbots & Agentic AI) to join our innovation-driven team. The selected candidates will take part in designing and deploying intelligent, explainable NLP systems, including chatbots, retrieval-augmented generation (RAG) pipelines, and autonomous multi-agent frameworks integrated with enterprise platforms such as HR, CRM, and ERP.

This position requires end-to-end ownership of production-grade AI — from data ingestion and model training to deployment, monitoring, and optimization. You will collaborate with cross-functional teams to develop scalable, high-performance solutions that enhance automation, analytics, and decision-making through machine learning, natural language processing, and data analytics.

Job Responsibilities

• Design, train, fine-tune, and evaluate Machine Learning and NLP models for chatbot, CV screening, and predictive analytics applications.
• Develop and deploy conversational AI and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen, incorporating memory, planning, and safe execution.
• Implement Retrieval-Augmented Generation (RAG) architectures, including data loaders, text chunking, embeddings, and vector databases (Pinecone, Weaviate, FAISS).
• Build and maintain microservices using FastAPI or Flask, containerize with Docker, and implement CI/CD pipelines for production automation.
• Ingest, clean, and analyze large datasets using MySQL, Pandas, and NumPy to extract actionable insights.
• Integrate AI components into enterprise systems (HR, CRM, ERP, support platforms) via REST or GraphQL APIs, in collaboration with backend and DevOps teams.
• Establish LLM operations and safety mechanisms, including model drift detection, guardrails, and human-in-the-loop validation processes.
• Implement explainability and governance frameworks using SHAP, LIME, and attention visualization, and maintain model documentation and data sheets.
• Deploy and manage AI applications on AWS, Azure, or GCP, ensuring observability through CloudWatch, ELK, or Grafana while maintaining cost and security best practices.
• Research, experiment, and contribute to internal templates, libraries, and best practices; participate in hackathons and innovation sprints.

• Medical allowance,Weekly 2 holidays
• Salary Review: Yearly
• Festival Bonus: 2