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Software Engineer (AI Agent)

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Onsite

Software Engineer (AI Agent)

Procter & Gamble

Software Engineer (AI Agent)

Skills

SQL QueriesMongoDBPythonJavaMicroservicesSpring BootPostgreSQLMySQLRedisAIAWSElasticsearchGitHubAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

2 September 2026

What they need


As a Full Stack Software Engineer (AI Agent), you will build AI-powered solutions and AI agents that create business value. You will leverage LLMs, prompt engineering, tool/function calling, RAG, and agent frameworks to develop intelligent applications and bring them into production.

Working in an Agile/DevOps team, you will develop backend services, APIs, and web applications, while leveraging AI-assisted development tools throughout the software development lifecycle.

Key Responsibilities:

  • Build and deploy AI-powered applications and AI agents using LLMs, prompt engineering, tool/function calling, and RAG.
  • Develop backend services, APIs, and web applications that support AI solutions.
  • Integrate AI applications with enterprise platforms and business systems.
  • Use AI coding tools (GitHub Copilot, Claude Code, Cursor, etc.) as part of your daily development workflow.
  • Contribute to Agile delivery, code reviews, testing, CI/CD, and DevOps practices.
  • Collaborate with product, design, testing, and operations teams to deliver business value.

Qualifications:

  • Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field.
  • Around 3 years of software development experience.
  • Proficiency in Java and working knowledge of Python (preferred for AI development).
  • Hands-on experience developing AI-powered applications or AI agents, including LLM integration, prompt engineering, function/tool calling, or RAG.
  • Proficient with AI coding tools such as GitHub Copilot, Claude Code, Cursor, or similar tools.
  • Understanding of microservice architecture and backend development frameworks such as Spring Boot or Spring Cloud.
  • Knowledge of SQL and/or NoSQL databases, such as MySQL, PostgreSQL, Redis, MongoDB, or Elasticsearch.
  • Familiarity with cloud platforms such as Azure or AWS is a plus.
  • Strong problem-solving skills, learning agility, and teamwork mindset.
  • Good written and spoken English.

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