Applied Senior Software Engineer (AI Native Development) at EPAM

Availability unverified

Build developer agents and integrate AI workflows into software delivery. The role calls for experienced software engineering, LLM integration and practical agent orchestration.

EPAM

Search jobs by company: EPAM

Location: Ho Chi Minh City / Hanoi · Hybrid
Work arrangement: hybrid
Technologies: AI, Java, JavaScript, Python, .NET

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Role overview

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 generating, refactoring and documenting 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 Maintain alignment with enterprise goals.

Qualifications

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 agentic workflows featuring tool use, memory and multi-step reasoning focused on engineering tasks.
Strong understanding of RAG architectures, prompt engineering and the mechanics of AI integration into production-grade SDLC workflows.
Execution-focused mindset with a strong preference for build, test and ship of working solutions.

Technology in this role

AI: AI Java JavaScript Python .
Java: AI Java JavaScript Python .
JavaScript: AI Java JavaScript Python .
Python: AI Java JavaScript Python .
.NET: AI Java JavaScript Python .
Go: Go beyond writing code to design and orchestrate AI agents and agentic workflows that accelerate development .
LLM: Responsibilities Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level .
large language models: Hands-on expertise with large language models including Anthropic Claude, OpenAI GPT or Google .
RAG: Strong understanding of RAG architectures, prompt engineering and the mechanics of AI integration into production-grade SDLC .
LangChain: Responsibilities Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level .
AWS: Responsibilities Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level .
Azure: Responsibilities Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level .
GCP: Responsibilities Design and build sophisticated AI developer agents capable of generating, refactoring and documenting complex codebases at scale Champion the shift from manual coding to an agentic workforce while maintaining hands-on technical involvement for high-level .
Git: Design and integrate AI-enabled workflows directly into the engineering stack including Git, Jira and CI/CD pipelines to automate processes and maximize developer .
CI/CD: Design and integrate AI-enabled workflows directly into the engineering stack including Git, Jira and CI/CD pipelines to automate processes and maximize developer .
Jira: Design and integrate AI-enabled workflows directly into the engineering stack including Git, Jira and CI/CD pipelines to automate processes and maximize developer .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Applied Senior Software Engineer (AI Native Development) position at EPAM is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “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.” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design and build sophisticated AI developer agents capable of generating, refactoring and documenting 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.