American Express

5 days ago

Senior Software Engineer - Gen AI, Python

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Build production-grade agentic AI systems that operate on real financial data, serve real customers, and meet regulatory requirements. Partner with product and design to shape solutions end to end—design, implementation, shipping, and ongoing ownership. Develop LLM-powered product features, production RAG pipelines, shared AI infrastructure (LLM services and orchestration), and evaluate/reliability across latency, cost, and failure modes in an enterprise cloud environment.

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and ship LLM-powered and agentic product features that help customers manage their finances.
•Build agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failure.
•Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements.
•Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation/monitoring tooling that scales agentic development across the organization.
•Own systems in production, including reliability, latency, cost, and failure modes, while partnering with product and design on customer outcomes.

Key Requirements

•8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
•Track record shipping AI-powered or agentic systems that real users depend on.
•Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
•Hands-on experience with modern LLM tooling and agentic patterns and architectures.
•Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring.

Experience:8+ yearsFintechRegulated industriesOpen sourceDeveloper toolingLLMsAgentic AI

Education:Bachelor's

Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationComfort with ambiguity

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgentic AIRAG pipelinesVector storageEmbeddingsVector databasesSearch systemsSchema validationState managementLLM servicesAgent orchestration frameworks

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

5 days ago

Senior Software Engineer - Gen AI, Python

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and ship LLM-powered and agentic product features that help customers manage their finances.
•Build agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failure.
•Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements.
•Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation/monitoring tooling that scales agentic development across the organization.
•Own systems in production, including reliability, latency, cost, and failure modes, while partnering with product and design on customer outcomes.

Key Requirements

•8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
•Track record shipping AI-powered or agentic systems that real users depend on.
•Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
•Hands-on experience with modern LLM tooling and agentic patterns and architectures.
•Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring.

Experience:8+ yearsFintechRegulated industriesOpen sourceDeveloper toolingLLMsAgentic AI

Education:Bachelor's

Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationComfort with ambiguity

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn