Job Description

Position: AI Agent Engineer / LLM Application Engineer

Number of hours: TBC

Schedule: TBC

Key Responsibilities

• Design, develop, and deploy AI agents and LLM-powered applications for various business use cases

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual responses

• Develop NLP-based systems for text processing, classification, and conversational AI

• Integrate Voice AI systems for speech recognition, voice assistants, and automated call workflows

• Connect LLM applications with databases, APIs, and external systems

• Fine-tune prompts, optimize model performance, and improve response accuracy

• Implement automation workflows using AI agents and orchestration frameworks

• Monitor, test, and continuously improve AI system performance and reliability

• Document AI architectures, workflows, and deployment processes

• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
  
  

Qualifications

• Proven experience building LLM-powered applications or AI agents

• Strong experience with Retrieval-Augmented Generation (RAG) architectures

• Solid background in Natural Language Processing (NLP)

• Experience developing Voice AI systems or conversational AI solutions

• Proficiency in Python and working with AI/ML frameworks

• Experience with LLM APIs (e.g., OpenAI, Anthropic, or similar platforms)

• Familiarity with vector databases, embeddings, and semantic search

• Experience integrating AI solutions with APIs, databases, and cloud services

• Strong analytical and problem-solving skills

• Ability to work independently and communicate technical concepts clearly