2 weeks ago

Pipeline - Future Software Engineer Opportunity, Enterprise Technology Services (ETS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build production-grade agentic AI systems for enterprise and cloud data, enabling responsible autonomy at scale. You’ll design and implement LLM-powered solutions that automate cloud security, governance, and operational workflows, including RAG pipelines, security-as-code, and policy-as-code. Partner with cloud, cybersecurity, platform, product, and business teams to integrate AI agents with cloud platforms and security tools, then operate and improve these systems in production.

Location: Gurugram, Chennai, Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement LLM-powered and agentic AI solutions to automate cloud security, governance, and operational workflows.
•Build agentic AI workflows that reason over enterprise security context, invoke cloud security tools, and act with guardrails and human oversight.
•Develop AI agents integrating with enterprise cloud platforms, SaaS applications, identity services, CNAPP, CSPM, SSPM, SIEM, and security orchestration platforms.
•Design and maintain RAG pipelines using enterprise security documentation and policies while ensuring correctness, privacy, and regulatory compliance.
•Contribute to shared AI infrastructure and operate AI systems in production, including monitoring, evaluating agent behavior, debugging, and improving reliability.

Key Requirements

•3+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
•Strong engineering fundamentals in at least one backend language (Java, Python, Go, or TypeScript).
•Familiarity with APIs, basic cloud concepts, and modern development practices.
•Interest in agentic AI systems, autonomy, and AI-assisted development workflows.

Experience:3+ yearsFintechAILLMMachine learningCloud security

Education:Bachelor's

Skills:CollaborativeCross-functionalCustomer mindsetWillingness to learnCuriosity

Languages:US

Tech Stack:JavaPythonGoTypeScriptAPIRESTGraphQLGitJ2EEJDBCJenkinsJSONJUnitLinuxLog4JMavenObject-oriented programmingPerformance tuningRDBMSSQL

Company Brief

American Express

Industry: Payments

Website

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American Express

2 weeks ago

Pipeline - Future Software Engineer Opportunity, Enterprise Technology Services (ETS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Gurugram, Chennai, Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement LLM-powered and agentic AI solutions to automate cloud security, governance, and operational workflows.
•Build agentic AI workflows that reason over enterprise security context, invoke cloud security tools, and act with guardrails and human oversight.
•Develop AI agents integrating with enterprise cloud platforms, SaaS applications, identity services, CNAPP, CSPM, SSPM, SIEM, and security orchestration platforms.
•Design and maintain RAG pipelines using enterprise security documentation and policies while ensuring correctness, privacy, and regulatory compliance.
•Contribute to shared AI infrastructure and operate AI systems in production, including monitoring, evaluating agent behavior, debugging, and improving reliability.

Key Requirements

•3+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
•Strong engineering fundamentals in at least one backend language (Java, Python, Go, or TypeScript).
•Familiarity with APIs, basic cloud concepts, and modern development practices.
•Interest in agentic AI systems, autonomy, and AI-assisted development workflows.

Experience:3+ yearsFintechAILLMMachine learningCloud security

Education:Bachelor's

Skills:CollaborativeCross-functionalCustomer mindsetWillingness to learnCuriosity

Languages:US

Tech Stack:JavaPythonGoTypeScriptAPIRESTGraphQLGitJ2EEJDBCJenkinsJSONJUnitLinuxLog4JMavenObject-oriented programmingPerformance tuningRDBMSSQL

Company Brief

American Express

Industry: Payments

Website