AI Engineer

4 days ago


Dhaka, Dhaka, Bangladesh TRODAD Full time

TRODAD is looking for a talented AI Engineer to join our team and work on cutting-edge AI-powered products. If you're passionate about building intelligent applications using Large Language Models, LangChain, and conversational AI, this role is for you

Location: Mirpur DOHS, Dhaka, Bangladesh (On-site)

Company: TRODAD International Ltd. | Full-time

What You'll Work On:

You'll be working on three exciting AI-powered products:

  1. Swiftme - AI-Powered Freelancer Bid Writing Extension

  2. Build an intelligent Chrome/browser extension that helps freelancers write winning proposals

  3. Integrate LLMs to analyze job posts and generate personalized bid content

  4. Implement context-aware writing assistance and proposal optimization

  5. Chatbots & Conversational AI

  6. Develop intelligent chatbots for customer support and engagement

  7. Build RAG (Retrieval-Augmented Generation) systems for knowledge-based responses

  8. Create multi-turn conversation flows with memory and context handling

  9. LLM Integration & Custom Solutions- Design and implement LangChain workflows for various use cases

  10. Fine-tune and optimize LLM prompts for specific business needs

  11. Build AI agents and autonomous systems using LangChain frameworks

What You'll Work On:

  • Building and deploying LangChain-based applications and AI workflows

  • Integrating multiple LLMs (OpenAI, Anthropic, local models) into production systems

  • Developing prompt engineering strategies and chain architectures

  • Implementing vector databases and semantic search solutions

  • Creating AI agents with tool-calling capabilities

  • Optimizing LLM responses for accuracy, cost, and latency

  • Building browser extensions with AI capabilities

  • Collaborating with product and engineering teams to deliver AI-powered features

What We're Looking For:

Required

  • Minimum 1.5-2 years of experience in AI/ML development or software engineering

  • Strong hands-on experience with LangChain framework

  • Solid understanding of LLMs (GPT-4, Claude, Llama, etc.) and their APIs

  • Experience with prompt engineering and chain orchestration

  • Proficiency in Python for AI/ML development

  • Knowledge of vector databases (Pinecone, Chroma, Weaviate, FAISS)

  • Understanding of RAG (Retrieval-Augmented Generation) patterns

  • Experience with TypeScript/JavaScript for extension development

  • Problem-solving mindset with clean, maintainable coding practices

  • Education: Bachelor's degree in CSE, IT, AI/ML, or a related field

Nice to Have:

  • Experience building browser extensions (Chrome/Firefox)

  • Knowledge of fine-tuning LLMs and working with HuggingFace

  • Experience packaging and deploying fine-tuned models (GGUF, safetensors, model quantization)

  • Familiarity with LangSmith for debugging and monitoring

  • Experience with streaming responses and real-time AI applications

  • Understanding of AI safety and responsible AI practices

  • Knowledge of embeddings and semantic similarity

  • Experience with FastAPI or similar frameworks

  • Contributions to AI/ML open-source projects

Tech Stack:

AI/ML: LangChain, OpenAI API, Anthropic Claude, HuggingFace

Vector DBs: pgVector, Pinecone, ChromaDB, FAISS, Weaviate

Backend: Python, FastAPI,

Frontend:TypeScript, React, Browser Extension APIs

Tools: LangSmith, Docker, Git

Why Join TRODAD?

  • Work on cutting-edge AI products that solve real-world problems

  • Opportunity to experiment with the latest LLM technologies

  • Collaborative and innovation-driven work environment

  • Competitive salary and benefits package

  • Access to AI resources and continued learning opportunities

How to Apply:

Click the Apply button to submit your application on our website. You'll receive:

  1. A technical assessment task focused on LangChain/LLM

  2. A time-limited countdown to complete it

  3. Instructions on submitting your solution

Make sure you have your Resume/CV, GitHub profile, and any AI project portfolios ready before applying


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