Sr. Software Developer L3

Aptos Retail; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Aptos Retail is seeking a data/AI engineering professional to design and implement AI‑driven analytics tools, build semantic layers and RAG pipelines, and collaborate with cross‑functional teams to translate business needs into AI features.

The role focuses on building production data pipelines, evaluating retrieval systems, and refining SQL queries, with experience in Snowflake, SQL Server, vector databases and cloud infrastructure (AWS) to ensure scalable, low‑latency insights.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 4+ years of experience in data engineering, software engineering or machine learning engineering with at least one year of hands-on AI experience.
• Experience with orchestration frameworks and vector databases.
• Experience with modern databases (Snowflake, SQL Server) and data transformation tools.

Responsibilities

• Develop AI‑driven analytics tools by designing, implementing, and maintaining custom LLM agents.
• Build robust data pipelines feeding clean, structured, contextualized data into ML models and vector databases; deploy to cloud and monitor model drift and latency.
• Optimize AI and retrieval systems by benchmarking prompts, embeddings, and vector search parameters; craft SQL queries to validate responses.

Skills

Strong SQL knowledge

AI/ML fundamentals

Cross-functional collaboration

Data modeling

Education

Bachelor's degree in CS or related field

Tools

Snowflake

SQL Server

Vector databases

Orchestration frameworks

GitHub Actions

Job description

Making a career change is a big decision.

Why consider Aptos?

Become a part of a team that is passionate about creating and delivering cutting-edge solutions for retailers worldwide. At our company, we’re dedicated to supporting your career aspirations and helping you exceed your goals. You’ll benefit from industry-leading training, global development opportunities, and the chance to collaborate within a diverse culture across our offices in nine countries. Our inclusive culture reflects our purpose: to make a difference for every colleague, every client, every day.

As a leading provider of Unified Commerce solutions for retail, our technology empowers top retail brands by optimizing product management, promotions, merchandising, and store operations. With the global shift toward our cloud-native, microservices architecture, opportunities for career growth have never been more exciting. Today, more than 100,000 retail stores in fashion, grocery, footwear, general merchandise, discount, and sporting goods rely on our solutions to generate nearly $2 trillion in annual revenue.

We hope you’ll join us in driving innovation and delivering impactful solutions as we continue leading the Unified Commerce revolution.

Key Responsibilities

Develop AI-Driven Analytics Tools

• Design, implement and maintain custom LLM agents
• Fundamental knowledge in building the semantic layer and semantic views for our agents
• Ability to build RAG (Retrieval-Augmented Generation) pipelines to democratize data access across the organization.

Build Robust Data Pipelines

• Create and optimize production-grade data pipelines that feed clean, structured and contextualized data into machine learning models and vector databases. Deploy AI applications to cloud infrastructure and set up monitoring to track model drift, latency, costs and hallucination rates.

Optimize AI & Retrieval Systems

• Evaluate, benchmark, and fine-tune prompt strategies, embedding models and vector search parameters to ensure high accuracy and low latency
• Ability to build queries in SQL to validate the accuracy of the AI agent response

Collaboration Cross-Functionally

• Work closely with cross-functional teams including Product, QA, DevOps, and Implementation Services to translate complex business requirements, metrics and analytical needs into technical AI features
• Strong SQL knowledge
• Collaborate with other engineering managers to align standards, practices, and platform initiatives

Required Qualifications

• Bachelor’s degree in computer science, Software Engineering, or related field (or equivalent experience)
• 4+ years of experience in data engineering, software engineering or machine learning engineering with at least one year of hand-on experience with AI
• Proven experience with orchestration frameworks and vector databases
• Experience with modern databases (Snowflake, SQL Server) and data transformation tools

Cloud & Infrastructure

• Cloud Platforms: AWS (primary)
• CI/CD: GitHub Actions

Data & Analytics

• Databases: Snowflake, SQL Server
• SQL: proficient in writing SQL statements
• Data Modelling: A good understanding of modelling techniques

We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.

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