Sr Software Development Engineer, FAI-Asset Creation Tech

Amazon is hiring a Sr Software Development Engineer, FAI-Asset Creation Tech in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Tools and skills the posting cites include Python, Java and AWS.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Build large-scale software systems and infrastructure to support AI data labeling and training at Amazon.

PythonJavaAWSAgile Scrum

ai-data-labelingspeechsoftware-developmentdistributed-systemsmachine-learningdata-pipelinesapi-design

Is passion for innovation what drives you? Are you excited by seeing something you worked on being used by millions of people? FAI-Asset Creation Tech is a global Machine Intelligence Data Services organization that provides a broad range of data labeling services for Machine Learning technologies such as Automatic Speech Recognition, Natural Language Understanding, Entity Resolution, Text-to-Speech, and Question Answering within and beyond the Frontier AI Assets (FAI) organization.

We provide full-cycle, high-quality data and services in multiple languages, for multiple countries to power the entire lifecycle of AGI's features, languages, and devices (pre-launch, beta, and post-launch). We are looking for passionate and talented Software Engineers who have experience building innovative, large-scale, high volume, and distributed software applications.

AI is always getting smarter. Join the team that trains her.

Key job responsibilities
In this role, you will:
1. Develop and maintain of key features of the system.
2. Work with team members to devise design approaches, prototype new technology and evaluate technical feasibility.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.
5. You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering solutions.
6. You will promote industry standard best practices.

If you have an entrepreneurial spirit, are driven to see people using your creation, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

About the team
Does passion for innovation drive you? Want to be a part of once in a life time opportunity to drive AI innovation and build next generation delightful customer experience on Gen AI, building ML applications?
Amazon's Frontier AI Assets (FAI) organization, we amplify human judgment to improve the quality of AI, making it useful for all. Through evaluation, data generation and training, we align AI systems with customer objectives in a reliable and responsible way. Our teams prioritize human insight as the essence of AI that benefits Amazon businesses, customers, and humanity.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr Software Development Engineer, FAI-Asset Creation Tech at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Software Development Engineer, FAI-Asset Creation Tech is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TS, Hyderabad.
The job was posted on November 11, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingSpeechSoftware DevelopmentDistributed SystemsMachine learningData PipelinesAPI DesignPython

Also common in software engineer jobs at this level

Python LLM C++AWS AI agents Kubernetes

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
What have you built with speech recognition or text-to-speech, and where did it break?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Speech, Software Development, Distributed Systems, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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