Principal Software Engineer - Juno DC19
- Thỏa thuận
- 10 năm kinh nghiệm
Hạn nộp hồ sơ: 01/01/2027 (Còn 57 ngày)
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YOUR NEW ROLE
This role is for CODE LEAP's client company - JTL-Software
JTL-Software is one of Germany's leading providers of e-commerce and ERP solutions. More than 50,000 retailers rely on JTL every day to run their business. Our global development center in Vietnam is looking for talented people to build the next generation of these products. You'll work in an international team that pairs German software quality and Vietnamese speed to innovate.
We are looking for a Principal Engineer to join Agentic Layer Juno, our core AI Platform project. Juno is the foundation for AI capabilities across our products - powering agentic workflows, LLM integrations, and intelligent automation that other teams build on.
As a Principal Engineer, you will shape the architecture and technical direction of the platform from its early stages. You'll design scalable, production-grade backend systems, drive key decisions around agent orchestration, LLM integration, and platform reliability, and set engineering standards that will carry the platform as it grows.
TEAM SCOPE
The AI Platform team owns Agentic Layer Juno - the central foundation for AI capabilities across our products
YOUR EXCITING TASKS
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
YOUR PROFILE AND YOUR PERSONALITY
10 years of software engineering experience, including experience in architect, or technical leadership role
Deep expertise in C# and a proven track record of building scalable, production-grade backend systems and APIs
Hands-on experience building and deploying AI-powered applications, including agentic systems, LLM integrations, RAG, and vector search
Experience designing and operating distributed, cloud-native systems with a strong focus on scalability, reliability, and performance
Solid understanding of software architecture, observability, security, and operational excellence in production environment
Comfortable evaluating new technologies, navigating architectural trade-offs, and making sound technical decisions
Design and build multi-agent orchestration systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MAF, Semantic Kernel, or custom orchestration layers
Solid experience working with Azure or other cloud environments
An effective communicator and technical leader who enjoys mentoring engineers, driving engineering standards, and collaborating across teams
Nice To Have
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 custom-built) 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
Benefits Await You
Competitive salary and benefits
Year-end bonus (13th-month salary)
Generous annual leave of up to 18 days
Additional premium health insurance
Enjoy an endless selection of delicious refreshments, including gourmet coffee, beverages, snacks, and fresh fruits, all complimentary
Dynamic, fun, and agile environment, perfect for sharing and creativity
Open-minded, kind & humble colleagues
CONTACT
Come to talk to us at [HIDDEN TEXT]
About Us
With our expert teams spread across two continents, CODE LEAP provides innovative software solutions for venture-backed companies and leading enterprise businesses in Germany. Our teams in Berlin (Germany) and Ho Chi Minh City (Vietnam) work hand in hand to develop state-of-the-art solutions of the highest quality.
Because collaborating with the right people is the secret to our successful growth.
We future-proof organizations - be part of it!
This role is for CODE LEAP's client company - JTL-Software
JTL-Software is one of Germany's leading providers of e-commerce and ERP solutions. More than 50,000 retailers rely on JTL every day to run their business. Our global development center in Vietnam is looking for talented people to build the next generation of these products. You'll work in an international team that pairs German software quality and Vietnamese speed to innovate.
We are looking for a Principal Engineer to join Agentic Layer Juno, our core AI Platform project. Juno is the foundation for AI capabilities across our products - powering agentic workflows, LLM integrations, and intelligent automation that other teams build on.
As a Principal Engineer, you will shape the architecture and technical direction of the platform from its early stages. You'll design scalable, production-grade backend systems, drive key decisions around agent orchestration, LLM integration, and platform reliability, and set engineering standards that will carry the platform as it grows.
TEAM SCOPE
The AI Platform team owns Agentic Layer Juno - the central foundation for AI capabilities across our products
YOUR EXCITING TASKS
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
YOUR PROFILE AND YOUR PERSONALITY
10 years of software engineering experience, including experience in architect, or technical leadership role
Deep expertise in C# and a proven track record of building scalable, production-grade backend systems and APIs
Hands-on experience building and deploying AI-powered applications, including agentic systems, LLM integrations, RAG, and vector search
Experience designing and operating distributed, cloud-native systems with a strong focus on scalability, reliability, and performance
Solid understanding of software architecture, observability, security, and operational excellence in production environment
Comfortable evaluating new technologies, navigating architectural trade-offs, and making sound technical decisions
Design and build multi-agent orchestration systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MAF, Semantic Kernel, or custom orchestration layers
Solid experience working with Azure or other cloud environments
An effective communicator and technical leader who enjoys mentoring engineers, driving engineering standards, and collaborating across teams
Nice To Have
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 custom-built) 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
Benefits Await You
Competitive salary and benefits
Year-end bonus (13th-month salary)
Generous annual leave of up to 18 days
Additional premium health insurance
Enjoy an endless selection of delicious refreshments, including gourmet coffee, beverages, snacks, and fresh fruits, all complimentary
Dynamic, fun, and agile environment, perfect for sharing and creativity
Open-minded, kind & humble colleagues
CONTACT
Come to talk to us at [HIDDEN TEXT]
About Us
With our expert teams spread across two continents, CODE LEAP provides innovative software solutions for venture-backed companies and leading enterprise businesses in Germany. Our teams in Berlin (Germany) and Ho Chi Minh City (Vietnam) work hand in hand to develop state-of-the-art solutions of the highest quality.
Because collaborating with the right people is the secret to our successful growth.
We future-proof organizations - be part of it!
Thông tin chung
- Thu nhập: Thỏa thuận
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