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Sr. Software Developer L3

Aptos

Bengaluru, IND

Full-time

Senior · 4+ years experience

Discovered 2 weeks ago

awsgithub-actionssnowflakesql

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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.
Submit your resume today!
Learn about Aptos' Global Culture

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.

Submit your resume today!

Learn about Aptos' Global Culture

Responsibilities

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.
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.
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
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

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