Applied Senior Software Engineer (AI Native Development)

EPAM Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EPAM Systems in Singapore seeks a Senior Software Engineer for an AI-centric delivery team. You will design and build AI developer agents, integrate AI-enabled workflows into the SDLC, and translate complex business needs into scalable, production-ready solutions.

You will work across Java, Python, and modern AI frameworks with a focus on high-velocity prototyping and enterprise-grade tooling. This role emphasizes hands-on engineering and strategic AI implementation.

Qualifications

• Extensive engineering background with mastery of Java, JavaScript, Python or .NET.

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 ensure alignment with enterprise goals.

Skills

Java

JavaScript

Python

.NET

LLMs

Agentic workflows

RAG architectures

Prompt engineering

AI integration

Multi-agent orchestration

Vector databases

LangChain

Hugging Face

LlamaIndex

AWS

Azure

GCP

Tools

FAISS

Pinecone

Qdrant

Chroma

CrewAI

AutoGen

Git

Jira

CI/CD

LangChain

Hugging Face

LlamaIndex

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 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 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 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
• 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