Location
In office (Hyderabad)
Experience
3+ years exp
Employment
Full-Time
First seen by Alion on Oct 19, 2026.
Overview
Company
Impact
Profile match
Amazon Filters is a UK manufacturer of industrial filtration and separation products based in Camberley, Surrey, making filter cartridges and capsules, standard and custom filter housings, retrofit elements and OEM filters. Its products serve process applications in pharmaceuticals and healthcare, energy, water, food and beverage, and chemicals and coatings, and it promotes a sustainable polypropylene range alongside a library of application notes and case studies. The company sells to industrial customers in English-, German- and Polish-speaking markets and works with them to design bespoke filtration systems for their production processes.
Backed by BGF
Description
Amazon Customer Service supports customers around the world through one of the world's largest and most diverse customer service workforces. As AI fundamentally changes how customer service work is performed, it also creates an opportunity to reinvent how associates learn, develop their capabilities, receive coaching, and continuously improve.
The Associate Development team is building the next generation of learning, coaching and performance experiences for Amazon Customer Service Associates. We are looking for a Software Development Engineer to help build these systems from the ground up.
This is a highly greenfield opportunity. Rather than digitizing traditional training and coaching processes, we are rethinking how associate development should work in an AI-native world. What does an associate need to learn before doing a job What can they learn through experience What should AI provide in the flow of work How can we understand an associate's evolving capabilities and use that understanding to personalize development How can generative AI help provide timely, relevant and effective coaching at the scale of a global workforce
Imagine systems that continuously learn from an associate's experience and outcomes, identify where they would benefit from development, and deliver personalized learning or AI-powered coaching. The outcomes of those interventions can then become new evidence about the associate, creating a closed loop that gets smarter over time.
As an SDE on this team, you will help define and build the technical foundations that make this possible. You will work on problems spanning generative AI, personalization, intelligent recommendations, learning and coaching systems, experimentation, data and distributed systems. You will have the opportunity to influence architecture at an early stage rather than inherit a predetermined technical solution.
You will partner closely with Product, Science, UX and engineering teams across Amazon to turn ambiguous customer problems into scalable technical solutions. The systems you build have the potential to shape how Customer Service Associates around the world develop and succeed at work.
This is an opportunity for an engineer who enjoys zero-to-one problems, emerging AI technologies, large-scale systems and building products with direct human impact.
Key job responsibilities
You might start the day working with a scientist on how an AI coaching experience can use an associate's recent performance context to generate more useful coaching. Later, you could whiteboard an architecture for measuring whether that coaching actually changed future performance, review an API contract with another CS platform team, and prototype a new generative-AI capability.
Because the space is early, you won't simply be executing against a fully specified roadmap. You will help answer fundamental technical questions, prototype alternatives, make architecture decisions, and turn successful experiments into production systems capable of serving associates globally.
About The Team
The Associate Experience (AE) team is building the future of work for Amazon Customer Service Associates. Our vision is to create a trusted Customer Service experience by enabling associates to succeed as the role evolves toward complex and non-deterministic problem solving.
Within AE, the Associate Development team is reinventing how associates learn, develop and improve, moving beyond one-size-fits-all training and coaching towards, personalized development powered by AI.
Engineers joining the team will shape foundational architecture, drive technology choices, and build AI-powered products from the ground up for one of the world's largest customer service workforces.
Basic Qualifications
Company - ADCI HYD 13 SEZ
Job ID: A10555143
Amazon Customer Service supports customers around the world through one of the world's largest and most diverse customer service workforces. As AI fundamentally changes how customer service work is performed, it also creates an opportunity to reinvent how associates learn, develop their capabilities, receive coaching, and continuously improve.
The Associate Development team is building the next generation of learning, coaching and performance experiences for Amazon Customer Service Associates. We are looking for a Software Development Engineer to help build these systems from the ground up.
This is a highly greenfield opportunity. Rather than digitizing traditional training and coaching processes, we are rethinking how associate development should work in an AI-native world. What does an associate need to learn before doing a job What can they learn through experience What should AI provide in the flow of work How can we understand an associate's evolving capabilities and use that understanding to personalize development How can generative AI help provide timely, relevant and effective coaching at the scale of a global workforce
Imagine systems that continuously learn from an associate's experience and outcomes, identify where they would benefit from development, and deliver personalized learning or AI-powered coaching. The outcomes of those interventions can then become new evidence about the associate, creating a closed loop that gets smarter over time.
As an SDE on this team, you will help define and build the technical foundations that make this possible. You will work on problems spanning generative AI, personalization, intelligent recommendations, learning and coaching systems, experimentation, data and distributed systems. You will have the opportunity to influence architecture at an early stage rather than inherit a predetermined technical solution.
You will partner closely with Product, Science, UX and engineering teams across Amazon to turn ambiguous customer problems into scalable technical solutions. The systems you build have the potential to shape how Customer Service Associates around the world develop and succeed at work.
This is an opportunity for an engineer who enjoys zero-to-one problems, emerging AI technologies, large-scale systems and building products with direct human impact.
Key job responsibilities
- Design and build scalable services and experiences that power personalized learning, coaching and associate development across Amazon Customer Service.
- Build AI-powered coaching capabilities, including applications of generative AI that can understand context, generate relevant guidance and adapt experiences to individual associate needs.
- Develop systems that connect signals about associate capability and performance with the right development intervention at the right time.
- Help create closed-loop systems that measure the outcomes of learning and coaching interventions and use that evidence to continuously improve future recommendations.
- Work with Product and Science partners to translate emerging models and experimentation into reliable production systems.
- Make foundational architectural decisions for a greenfield product space while determining where existing Amazon capabilities can be reused or evolved.
- Design APIs, data models and integration patterns that allow Associate Development capabilities to interact with associate context, workflow and other Customer Service systems.
- Build mechanisms for experimentation, measurement and observability so we can understand whether the experiences we create actually improve associate and customer outcomes.
- Deliver secure, reliable and globally scalable systems while maintaining a high bar for operational excellence.
You might start the day working with a scientist on how an AI coaching experience can use an associate's recent performance context to generate more useful coaching. Later, you could whiteboard an architecture for measuring whether that coaching actually changed future performance, review an API contract with another CS platform team, and prototype a new generative-AI capability.
Because the space is early, you won't simply be executing against a fully specified roadmap. You will help answer fundamental technical questions, prototype alternatives, make architecture decisions, and turn successful experiments into production systems capable of serving associates globally.
About The Team
The Associate Experience (AE) team is building the future of work for Amazon Customer Service Associates. Our vision is to create a trusted Customer Service experience by enabling associates to succeed as the role evolves toward complex and non-deterministic problem solving.
Within AE, the Associate Development team is reinventing how associates learn, develop and improve, moving beyond one-size-fits-all training and coaching towards, personalized development powered by AI.
Engineers joining the team will shape foundational architecture, drive technology choices, and build AI-powered products from the ground up for one of the world's largest customer service workforces.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ 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
Company - ADCI HYD 13 SEZ
Job ID: A10555143
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,885,044 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Free forever. No card. Under a minute.
Recommended for you based on this role
Backend
Similar stack
Same company
Hyderabad
Apply
≈ $61k – $118k per year (Estimated) • In office • Herzogenrath
C#
Apply
Senior Backendutvecklare till Svea Bank
20 min ago
≈ $48k – $144k per year (Estimated) • In office • Full-Time • Solna
SQL
C#
C#
.NET
DevOps
Azure DevOps
Azure
CI/CD
Apply
Apply
Lead Programmer - Unreal
2 months ago
$74k per year • In office • Full-Time • Bachelor's Degree • Portsmouth
C++
Game Dev
Unity
Unreal Engine
Management
Agile
Apply
Full Stack Developer
1 day ago
Hybrid • 5+ years exp • Bachelor's Degree • Hyderabad
Python
JavaScript
TypeScript
SQL
C#
C#
.NET
Databases
Redis
Frontend
Vue.js
Angular
React.js
DevOps
CI/CD
Windows Server
Git
Docker
Kubernetes
Apply
Java Developer
1 day ago
≈ $16k – $38k per year (Estimated) • Hybrid • 6+ years exp • Hyderabad
Java
COBOL
Java
Maven
Spring Boot
COBOL
IBM MQ
Databases
PostgreSQL
Db2
Apache Kafka
AI/ML
Copilot
Model Context Protocol
Vertex AI
Function Calling
LLM
RAG
LLM Evaluation
DevOps
Splunk
GCP
CI/CD
Docker
Kubernetes
Grafana
Google GKE
Google Cloud Run
GitHub
Cybersecurity
SonarQube
Management
Confluence
Jira
QA
Swagger
Apply
Senior Staff Backend Engineer
1 day ago
≈ $33k – $83k per year (Estimated) • In office • 12+ years exp • Bengaluru • Hyderabad
Python
Java
DevOps
AWS
Apply
Java Software Development Engineer III
1 day ago
In office • 5+ years exp • Hyderabad
JavaScript
TypeScript
SQL
Frontend
Angular
DevOps
CI/CD
Docker
Kubernetes
Management
Agile
QA
Swagger
Apply
This is one of many
1,885,044 more open roles from verified company boards, updated every day.

