AI Agent Developer

5 days ago


Lahore, Punjab, Pakistan HSxTech Full time

We are seeking a highly skilled AI Agent Developer to join our team at HSxTech.

The ideal candidate will have strong experience in developing AI agents using cutting-edge frameworks and tools such as LangChain, AutoGPT, or BabyAGI.

They will design and develop AI agents using Large Language Models (LLMs) like LLAMA, GPT, or similar to address specific business use cases such as process automation, decision-making support, and customer interaction.

The successful candidate will also have expertise in training and fine-tuning LLMs, proficiency in vector databases such as Pinecone, FAISS, or Weaviate for agent memory and retrieval, and hands-on experience with API integrations and tool chaining for AI agent capabilities.

Advanced Python programming skills with an emphasis on AI/ML libraries, knowledge of containerization and cloud deployment, and familiarity with semantic search and embedding techniques are also required.

The role involves collaboration with ERP and functional teams to align AI agent capabilities with existing system requirements, training internal teams on utilizing and interacting with AI agents, and staying updated on the latest advancements in AI agent technology.

Key responsibilities include designing and developing AI agents, configuring memory, tool use, and reasoning capabilities, integrating tools such as LangChain for advanced agent functionality, setting up vector databases for semantic search and knowledge retrieval, and leveraging open-source or proprietary AI frameworks to customize and deploy models suited for enterprise needs.

Opportunities for automation and process enhancement include identifying opportunities to automate repetitive tasks and enhance existing workflows through AI agent deployment, designing AI agents capable of interfacing with enterprise systems via APIs or other communication protocols, and developing agents that can generate actionable insights, automate reporting, and improve operational efficiency.

Additionally, the role requires conducting extensive testing to ensure reliability, accuracy, and scalability of AI agents, monitoring agent performance and iteratively refining workflows to enhance responsiveness and effectiveness, and implementing feedback loops to improve model behavior and task success rates.



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