Principal System Engineer (Golang, AI)

We are looking for a Senior AI Systems Engineer with a deep mastery of Golang to architect and build the next generation of our back-office automation platform. You will be the bridge between sophisticated AI models and production-grade software. This role is not just about prompt tuning; it is about building the high-performance engines, concurrency patterns, and system integrations that allow AI Agents to operate reliably at scale.

• Core Engine Development: Design and develop high-performance AI Agent engines in Golang, focusing on concurrency, low-latency execution, and scalable system architecture.
• AI Orchestration: Build robust prompt-chaining strategies and agentic workflows that integrate LLMs into our SaaS application.
• System Reliability: Monitor agent behavior and system-level metrics in Go to identify and mitigate hallucinations or performance degradation.
• Cross-Functional Leadership: Take technical ownership of AI initiatives, leading collaboration across BE/FE/SRE teams to drive system-level decisions.
• Optimization: Bridge the gap between Python-based AI research and Go-based production environments, ensuring seamless model serving and data flow.

Requirements

Technical

Must have

• 3 to 5 years of professional experience with Golang; a deep, idiomatic understanding of Goroutines, channels, and designing scalable, high-performance backend services.
• 2+ years of experience with Python.
• 5+ years of Web application development.
• Practical experience designing and optimizing prompts for LLMs in production environments.

Good understanding of:

• Backend development (e.g., web frameworks, databases).
• Cloud infrastructure (e.g., Azure, AWS, Terraform, serverless architecture).
• MLOps pipeline.

Experience in:

• Architectural design for multi-agent orchestration.
• LLM orchestration frameworks like AutoGen, LangChain, and LlamaIndex.
• RAG architecture and vector stores.
• Integrating AI services from platforms like Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.

Nice to Have

• Basic understanding of frontend development (e.g., TypeScript/React).
• Understanding of AI system deployment from a security/compliance standpoint.
• Exposure to IaC and CI/CD in production systems.
• Experience in B2B application development.
• Experience in introducing traditional machine learning techniques and related ML pipelines to improve businesses.

Communication

• Strong English communication, both verbal and written.
• Experience in leading a project as a team leader.
• Experience in educating team members.
• Strong sense of ownership.