Link Group is seeking a skilled Agentic AI Engineer to join our team and contribute to the development of advanced autonomous AI systems. You will play a pivotal role in architecting, building, and optimizing multi-step agentic workflows and cutting-edge AI solutions within a fully remote environment.
Key responsibilities
- Architect, build, and optimize autonomous AI agents, tool integration frameworks, and complex multi-step agentic workflows.
- Design and refine advanced Retrieval-Augmented Generation (RAG) pipelines, system prompts, and context-window strategies to ensure maximum accuracy.
- Conduct systematic model selection, benchmarking, and granular error analysis to mitigate hallucinations and improve output quality.
- Deploy, monitor, and maintain LLM applications in production, implementing telemetry and performance tracking for system reliability.
- Write scalable, clean, and maintainable code while adhering to repository best practices and version control workflows.
Requirements
- High proficiency in Python, SQL, and Git version control.
- Proven experience in prompt engineering, context engineering, RAG patterns, and designing agent or tool ecosystems.
- Hands-on experience with LLM evaluation frameworks, benchmark design, and systematic error analysis.
- Practical experience deploying LLM applications, including observability, tracing, cost monitoring, and latency tuning.
- Demonstrated ability to translate recent AI research and open-source breakthroughs into practical software product enhancements.
What we offer
- Opportunity to work at the forefront of AI innovation and research.
- Fully remote work environment with a focus on professional growth.
- Collaboration with a team dedicated to building scalable, high-impact AI solutions.