Principal Software Engineer - Juno

Own the technical vision and architecture of the AI platform - agent orchestration, LLM integration layers, tool/MCP integrations, and the APIs other teams build on

Make and document high-impact architectural decisions, navigating trade-offs between velocity, cost, reliability, and flexibility (e.g. model choice, orchestration patterns)

Design the platform for multi-tenancy, extensibility, and scale so product teams can adopt AI capabilities without reinventing the foundation

Keep the platform ahead of a fast-moving AI landscape: evaluate new models, frameworks, and patterns, and decide what's worth adopting

Build production-grade backend services and platform components - this is a coding role, not a pure architect role

Develop core capabilities like agent workflows, RAG pipelines, vector search, context management, and safe tool execution

Set the bar for engineering quality: testing strategies for non-deterministic AI systems, evals, CI/CD, and code review culture

You have 10+ years of software engineering experience, including experience in architect, or technical leadership role

You have deep expertise in C# and a proven track record of building scalable, production-grade backend systems and APIs

You have hands-on experience building and deploying AI-powered applications, including agentic systems, LLM integrations, RAG, and vector search

You have experience designing and operating distributed, cloud-native systems with a strong focus on scalability, reliability, and performance

You have a solid understanding of software architecture, observability, security, and operational excellence in production environment.

You are comfortable evaluating new technologies, navigating architectural trade-offs, and making sound technical decisions

You designed and built multi-agent orchestration systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MAF, Semantic Kernel, or custom orchestration layers.

You have a solid experience working with Azure or other cloud environments

You are an effective communicator and technical leader who enjoys mentoring engineers, driving engineering standards, and collaborating across teams

Experience taking agentic or LLM-based systems from prototype to production at scale (cost control, latency optimization, guardrails)

Familiarity with AI evaluation and quality frameworks - building evals, monitoring model drift, measuring agent success rates

Hands-on experience with orchestration frameworks (e.g. Semantic Kernel, LangGraph, or custombuilt) and tool-calling / MCP-style integrations

Experience with prompt engineering at scale, fine-tuning, or model selection trade-offs across providers

Experience in a scale-up environment where they shaped engineering practices as the org grew

Competitive salary and benefits

Year-end bonus (13th-month salary)

Generous annual leave of up to 18 days

Free refreshments: coffee, snacks, and fresh fruit

Open-minded, kind colleagues

Activities tied to European culture

Dynamic, fun, and agile environment

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666