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Sr. Prompt Engineer, TSE

ID: 6860

Type: Full-time

Category: Others

Company Name: ADCI - BLR 14 SEZ

Location: IND, KA, Bengaluru

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Job Description

Prompt engineering combines creativity and technical expertise to design precise instructions that guide Generative AI models and Large Language Models (LLMs) toward producing exceptional results.
As a Prompt Engineer, you will own the complete prompt lifecycle—from initial concept through production deployment. Your responsibilities will include developing production-grade Python code for data processing, managing CI/CD pipelines, and architecting contextual frameworks that enhance AI performance.
You'll serve as the critical bridge between human intent and machine understanding, transforming complex requirements into clear, effective prompts that unlock the full potential of next-generation AI systems. This pioneering position offers the opportunity to advance prompt engineering methodologies while continuously discovering innovative approaches to maximize generative AI capabilities.
If you're passionate about leveraging AI to address real-world challenges and eager to shape the future of artificial intelligence, we invite you to join us in this rapidly evolving field.

Key job responsibilities
- You will design prompts, guiding large language models to generate specific, accurate and exceptional responses.
- You will handle the context engineering that is required to deliver best in class prompts
- You will be responsible for delivering production ready python codes via CI/CD pipelines that will enable the delivery of best prompts
- You will wield the power of words, crafting concise and creative prompts that steer AI towards the desired outcome, fine-tuning results and ensuring accuracy.
- You will work closely with Product Leads, Data engineers, Developers, and other creative minds to understand needs and translate them into effective prompts, maximizing the impact of AI solutions.
- You will be responsible to Test and assess the effectiveness of both existing and newly developed prompts.
- You will be responsible for developing and maintaining a comprehensive library of prompts, ensuring clarity and effectiveness, while fostering best practice sharing.
- You will work with cross functional teams to integrate prompt engineering models into production environments.

- You will leverage the power of prompt engineering to identify and enhance customer trust by eliminating risks related to counterfeit, infringements, etc.


A day in the life
Your day will be dynamic, collaborative and focused on driving innovation and excellence in prompt engineering. You will participate in collaborative meetings with Product and Program Managers and developers across cross function teams to discuss design requirements, brainstorm on ideas and share insights on design approach. You will spend time analyzing data related to prompt effectiveness and model performance. You will create playbooks to document findings, prepare reports and share updates with various stakeholders. You will troubleshoot issues, address real time challenges and implement scalable solutions.

About the team
The Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. We do this by (1) eliminating catalog defects, (2) ensuring listings are compliant with Amazon’s selling policies, (3) helping customers find selling partners that have a good ordering and fulfillment record, (4) ensuring customers receive authentic products in the condition they expect, and (5) in the rare chance the order experience does not meet customer expectations, protecting them by making things right with our A-to-z Guarantee. Our selling partners are also our customers and we work hard to educate and support them to facilitate a positive and friction-free selling partner experience. We design and implement policies, tools and technology innovations to protect the buying experience on Amazon while minimizing friction for sellers.

We are looking for a Prompt Engineer with a passion for Generative AI, Innovation with analytical and communication skills. You will enjoy working with technology, enabling you to leverage your insights to drive automation and develop tools for our Operations teams., thereby, enhancing customer e experience. You will collaborate with Software Engineering, Data Science, Product Management, Program Management and Operations Teams to build a deeper understanding of Operational performance and drive improvements which directly influence Amazon’s bottom-line.

Basic Qualifications

- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements

Preferred Qualifications

- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules

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.

Company Information

Company Name: ADCI - BLR 14 SEZ

Company Website: https://www.amazon.jobs/en/locations/bengaluru-india

Company Address: Bengaluru, Karnataka 560001 / 560103 / 560066, India

Amazon Development Centre India (commonly abbreviated as ADCI) refers to Amazon.com, Inc.’s network of engineering and technology development centers in India that support the company’s global e-commerce, cloud computing, device, advertising, and media businesses. ADCI is not a standalone public company but the collective name often used in internal and external communications to identify Amazon’s engineering and product-development operations located across multiple Indian cities, including Bengaluru (BLR). The designation “BLR 14 SEZ” is used internally and in job and location listings to identify a specific Bangalore campus or facility housed within a Special Economic Zone (SEZ), where Amazon operates offices that host software engineering, research, and operational teams. Company overview ADCI operates as part of Amazon.com, Inc., one of the world’s largest technology and retail companies. The ADCI centers in India are staffed by software engineers, data scientists, product managers, solutions architects, security specialists, UX designers, operations engineers, and other technical professionals. These centers focus on building, scaling, and operating distributed systems, services, and product features that are integrated into Amazon’s global product portfolio. The India development centers serve both regional needs (India-specific products and localized services) and global development efforts (core components of Amazon Web Services, retail platform features, Alexa, and other infrastructure). Core business activities - Software and product engineering: ADCI teams design, implement, test, and deploy backend services, frontend applications, and full-stack products for Amazon’s retail marketplace, seller and vendor systems, customer-facing applications, and internal business tools. - Cloud and infrastructure development: Engineers in ADCI contribute to Amazon Web Services (AWS) products and supporting infrastructure, working on distributed systems, container orchestration, data storage, networking, security, and platform automation. - Machine learning and data science: ADCI houses data science and machine learning groups that build recommender systems, fraud detection, forecasting and demand-planning models, natural language processing for Alexa and customer service, and analytics platforms used across Amazon. - Consumer device and services support: Development work includes software for Amazon devices (e.g., Kindle, Echo/Alexa) as well as services that integrate with these devices, including voice services, media delivery, and IoT integration. - Payments, advertising, and monetization systems: ADCI contributes to Amazon Pay, advertising technology, catalog and merchandising systems, pricing algorithms, and other monetization-related engineering efforts. - Logistics and operations technology: Teams build software for Amazon’s fulfillment network, warehouse management, routing and delivery systems, robotics integration, and tools for operational efficiency across the supply chain. - Security, privacy, and compliance engineering: Dedicated groups focus on identity and access management, application security, data protection, and compliance with regional regulations. Main products and services ADCI does not produce end-brand consumer products under the ADCI name; rather, its primary output is software, services, and engineering expertise that underpin Amazon’s global offerings. Typical deliverables and contributions from ADCI teams include: - Core services and microservices that power Amazon.com’s marketplace and seller systems (catalog, search, checkout, payments integrations, order management). - AWS platform components, tools, and client-facing services supporting cloud customers globally. - Machine learning models and data platforms used for personalized recommendations, advertising targeting, fraud detection, and predictive analytics. - Features and platform code for Alexa voice services, including speech processing, intent recognition, and integrations with third-party skills and devices. - Enterprise and operations software for logistics, fulfillment centers, inventory forecasting, and last-mile delivery systems. - Developer tools, automation frameworks, and internal platforms used by Amazon teams worldwide to build and operate services at scale. Organizational role and scale ADCI centers in India are strategic engineering hubs within Amazon’s global R&D footprint. They collaborate closely with product teams in other geographies and are often responsible for end-to-end development of specific features or services. The centers serve both India-specific business units (for localized product launches, marketplace features, and regional compliance) and global teams (contributing to AWS, Alexa, and international retail engineering). Staffing levels at India development centers are substantial, with thousands of technical employees across multiple campuses and office complexes in Bangalore and other Indian cities. Collaboration and talent activities ADCI participates in local and global hiring, internship, and university outreach programs, recruiting software engineers, interns, and research talent. The centers commonly host hackathons, technical talks, and collaborations with academic institutions. Amazon’s India engineering teams also engage in open-source contributions, developer tooling, and publishing technical content that reflects their engineering work. Legal and corporate context ADCI operates under Amazon’s corporate entities in India (for example, Amazon Development Centre India Pvt. Ltd and related Amazon entities), and the work performed there is integrated into Amazon.com, Inc.’s product and service lines. Public-facing references to ADCI typically appear on Amazon recruitment pages, regional office location pages, and job postings identifying Bengaluru (BLR) and specific campus codes (such as BLR14 SEZ) as work locations. Limitations ADCI is an operational/organizational label within Amazon rather than an independent corporate brand. Specific internal team responsibilities, proprietary architecture details, and exact campus addresses for individual SEZ facilities are published selectively by Amazon (for example, on careers pages and corporate location pages) and may vary over time as Amazon expands or reorganizes its office footprint.
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