Applied Senior Software Engineer (AI Native Development)

EPAM Systems; Hong Kong; On-site; HKD 500,000 - 800,000; Full time

Job summary

EPAM Systems is looking for a Senior Software Engineer to join their AI-Centric Delivery team in Hong Kong. This pivotal role involves designing and building AI developer agents, redefining the Software Development Lifecycle (SDLC) through advanced technical solutions. Candidates must have an extensive engineering background, mastery of specific programming languages, and hands-on expertise with AI frameworks.

If you're a tool-agnostic engineer who wants to drive innovation in AI-native engineering, apply today!

Qualifications

• Extensive engineering background as a high-performing developer.
• Proven capability in development of agentic workflows focused on engineering tasks.
• Execution-focused mindset with strong preference for construction and shipment of solutions.

Responsibilities

• Design and build sophisticated AI developer agents.
• Champion the shift from manual coding to an agentic workforce.
• Deliver functional prototypes in tight windows.

Skills

Mastery of Java, JavaScript, Python or .NET

Hands-on expertise with large language models

Development of agentic workflows

Strong understanding of RAG architectures

Execution-focused mindset

Tools

AWS

Azure

GCP

Job description

EPAM Systems is a global team of technologists who design, develop and deliver software that powers the world. We are at a pivotal moment where AI is the core engine of our engineering craft. Join our AI‑Centric Delivery team as a Senior Software Engineer to redefine the Software Development Lifecycle (SDLC). Go beyond writing code to design and orchestrate AI agents and agentic workflows that accelerate development velocity. If you are a tool‑agnostic engineer focused on the future of AI‑native engineering, this role offers the opportunity to build, test and ship transformative technical solutions for global brands.

Responsibilities

• Design and build sophisticated AI developer agents capable of generation, refactoring and documentation of complex codebases at scale
• Champion the shift from manual coding to an agentic workforce while maintaining hands‑on technical involvement for high‑level precision
• Deliver functional, high‑velocity prototypes in tight windows to prove the real‑world power of AI‑driven engineering
• Design and integrate AI‑enabled workflows directly into the engineering stack, including Git, Jira and CI/CD pipelines, to automate processes and maximize developer throughput
• Consult with stakeholders to translate complex business requirements into AI‑SDLC‑augmented technical solutions
• Articulate the trade‑offs of agentic design and ensure alignment with enterprise goals

Requirements

• Extensive engineering background as a high‑performing developer with mastery of Java, JavaScript, Python or .NET
• Hands‑on expertise with large language models including Anthropic Claude, OpenAI GPT or Google Gemini
• Proven capability in development of agentic workflows that feature tool use, memory and multi‑step reasoning focused on engineering tasks
• Strong understanding of RAG architectures, prompt engineering and the mechanics of integration of AI into production‑grade SDLC workflows
• Execution‑focused mindset with a strong preference for construction, tests and shipment of working solutions

Nice to have

• Experience with multi‑agent orchestration frameworks like CrewAI or AutoGen
• Knowledge of vector databases such as FAISS, Pinecone, Qdrant or Chroma
• Familiarity with LLM evaluation, guardrails and observability
• Cloud deployment experience with AWS, Azure or GCP
• Practical experience with AI frameworks such as LangChain, Hugging Face or LlamaIndex