Senior Software Engineer-AI

PassFort

New York (NY)

In loco

USD 133.000 - 192.000

Tempo pieno

4 giorni fa
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Vantaggi offerti da questo lavoro

Medical insurance
Dental insurance
Vision insurance
Parental leave
Paid time off
401(k) plan with employer contribution
Life insurance
Disability insurance
Accident insurance
Employee stock purchase plan
Tuition reimbursement

Descrizione del lavoro

Moody's is seeking a Senior Software Engineer-AI in New York, NY to design, build, and operate backend services and AI-powered features behind Moody's intelligent data products. You will own features end to end, from design to deployment, including real-time and batch AI workloads using LLMs, retrieval augmented generation, orchestration, and tool integration.

The role requires 5+ years of software engineering, strong skills across TS/Python/C#, cloud-native and serverless experience, and a

Competenze

  • 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, with experience building scalable APIs, microservices, and distributed systems.
  • Practical experience building enterprise AI applications using large language models, including agents, RAG, orchestration frameworks, and model optimization.
  • Own services and features end to end from design to production deployment and operation with limited supervision.
  • Hands-on with cloud-native tech, serverless, event-driven architectures, data pipelines, databases, observability, and automated deployment pipelines.
  • Strong understanding of algorithms, data structures, performance, security, and engineering trade-offs.
  • Mentor engineers through code reviews, debugging, documentation, and testing for engineering excellence.
  • Proven ability to implement AI-powered solutions and responsible AI practices; awareness of AI risk management.

Mansioni

  • 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, and production support.
  • Build and enhance large language model features using retrieval augmented generation, orchestration, evaluation, and tool integration.
  • Contribute to technical designs, reviews, and identify risks, constraints, and trade-offs.
  • Maintain engineering excellence through automated testing, code reviews, observability, monitoring, and on-call readiness.
  • Apply machine learning operations practices including prompt versioning, evaluation, deployment pipelines, and monitoring.
  • Collaborate with product managers, data scientists, ML engineers, and fellow engineers to translate requirements into reliable software.
  • Mentor engineers, contribute to shared tooling, document designs, and promote responsible AI across features.

Conoscenze

Backend services ownership
LLM AI applications
End-to-end ownership
Cloud-native & serverless
Data pipelines & observability
Algorithms & performance
Mentoring engineers
Responsible AI practices

Formazione

Bachelor's degree in CS/Engineering or related field

Strumenti

Cloud-native technologies
Serverless architectures
Relational databases
NoSQL databases
Vector databases
Observability tooling
CI/CD pipelines

Descrizione del lavoro

Senior Software Engineer-AI

New York, United States

Skills and Competencies
  • 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 application programming interfaces, microservices, and distributed systems
  • Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization
  • Demonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervision
  • 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 review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement practices
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
  • Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience
Responsibilities

Designs, builds, and operates the services and AI-powered features behind Moody's intelligent data products as a senior contributor within the Digital Content and Innovation organization.

  • Design, code, test, and operate backend services, application programming interfaces, data pipelines, and inference pipelines that support real-time and batch AI workloads
  • Own the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement
  • Build and enhance large language model application 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, trade-offs, and alternative approaches
  • Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on‑call support
  • Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution
  • Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions
  • Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features
About the Team

Our Digital Content and Innovation team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. We accelerate the development of next-generation analytical tools, enable smarter client experiences, and advance Moody's leadership in applied artificial intelligence. By joining the team, you will work alongside engineers, data scientists, and AI specialists across the full AI lifecycle, helping build scalable, production-ready platforms and applications that transform how Moody's delivers insight and value responsibly and at scale.

For US-based roles only: the anticipated hiring base salary range for this position is $132,600.00 - $192,300.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation.

  • including not but limited to medical
  • dental
  • vision
  • parental leave
  • paid time off
  • a 401(k) plan with employee and company contribution opportunities
  • life
  • disability
  • accident insurance
  • a discounted employee stock purchase plan
  • tuition reimbursement

Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement (opens in new window).

Click here for more information on your EEO rights under the law (opens in new window).

Click here to view our Pay Transparency Nondiscrimination statement (opens in new window).

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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