Senior Backend Engineer, AI-Driven Cloud & APIs

PassFort; New York (NY); On-site; USD 133,000 - 192,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Paid time off

Employee stock purchase plan

Tuition reimbursement

Job summary

Moody's is seeking a senior backend engineer to design, code, test, and operate production-grade backend services and AI-enabled workflows. You will own features end-to-end, building API-driven microservices and data pipelines that support real-time and batch AI workloads.

You will collaborate with product managers, data scientists, and engineers to implement AI-powered solutions, ensure security and observability, and contribute to design reviews while advancing responsible AI practices across

Qualifications

• 5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications.
• Strong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable APIs, microservices, and distributed systems.
• Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization.
• Own services, components, or features end to end, from design through production deployment and operation.
• Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines.
• Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs.
• Experience mentoring engineers through code reviews, pairing, debugging, documentation, and promoting engineering excellence via testing and CI/CD.
• Demonstrated proficiency in AI concepts, hands-on experience using AI tools to streamline workflows and implement AI-powered solutions; awareness of AI risk management and responsible AI use.

Responsibilities

• Design, code, test, and operate backend services, APIs, data pipelines, and inference pipelines for real-time and batch AI workloads.
• Own delivery of features end to end, from design through deployment, monitoring, production support, and continuous improvement.
• Build and enhance large language model features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration.
• Contribute to technical designs, participate in design reviews, and identify risks, constraints, and trade-offs.
• Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, and on-call readiness.
• Apply ML operations practices including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution.
• Partner with product managers, data scientists, ML engineers, and fellow engineers to translate requirements into reliable software solutions.
• Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and runbooks, promote responsible AI practices across features.

Skills

Backend services

TypeScript

Python

C#

LLM apps

Ownership

Cloud-native

Serverless

Event-driven

Data pipelines

Relational DBs

NoSQL

Vector databases

Observability

CI/CD

Algorithms

Security best practices

Mentoring

Code reviews

Responsible AI

Education

Bachelor's degree in Computer Science, Engineering, or related discipline

Job description

Moody's is seeking a senior backend engineer to design, code, test, and operate production-grade backend services and AI-enabled workflows. You will own features end-to-end, building API-driven microservices and data pipelines that support real-time and batch AI workloads.

You will collaborate with product managers, data scientists, and engineers to implement AI-powered solutions, ensure security and observability, and contribute to design reviews while advancing responsible AI practices across