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Senior Software Engineer - AI Agents

Onsite or remote • Hyderabad+1🌐 Remote💼 Full-time💰 $25–$25🗓 2026-06-24

Core

Building AI agents that function as automated data analysts and business analysts to provide continuous insights for high-volume transactional industries.

Role type

Senior IC software engineer (AI agents)

Builds

AI agents for automated data onboarding, continuous pattern detection, and self-service analytics

Domain

AI/ML, Data Analytics, E-commerce, Fintech, Logistics

Deliverable

production ML models

Required skills

Python, Generative AI, RAG, LLMs, AutoML, software engineering principles

Preferred skills

experience with data analysis tools, ability to work in fast-paced environments

Technologies

Python, LLMs, AutoML

Responsibilities

Build agents that efficiently work with vast volumes of data, automate data transformation and analysis tasks, craft creative solutions to automate repetitive data analysis parts

Seniority

Senior, hands-on IC

Rewrite
## About the role Bicycle is an AI-powered data analyst or 'co-pilot' that provides continuous actionable insights for high-volume transactional industries like e-commerce, travel, fintech, and logistics. The copilot is a combination of: LLM-Powered Business Analyst (that understands KPIs and business drivers) and AutoML-Powered Data Analyst (that interprets data and extracts insights). This duo provides three key values: - #1 Automated Data Onboarding: Thanks to auto mapping and ETL, you can launch new use cases and insights quickly. - #2 Continuous Insights: Through constant pattern detection and analysis, the copilots deliver insights even when your team is off the clock. - #3 Self-Service Analytics: Teams can subscribe to alerts and reports or perform ad-hoc analysis using chat and dashboards. Established by the founding CTO of AppDynamics and key team members from the same successful venture, Bicycle is reinventing how businesses leverage their voluminous data streams with an AI-powered self-service analytics solution. ## Position Overview We are looking for a dynamic Software Engineer to join our AI Agents team. Bicycle leverages AI Agents in pivotal roles, functioning as Business Analysts and Data Analysts who collaborate to uncover data-driven insights and recommend actionable strategies to our customers. In this role, you will be responsible for building agents that efficiently work with vast volumes of data across various industries. These agents are designed to automate numerous data analysis tasks, including data transformation and analysis, thereby enhancing the efficiency of data-driven operations. The ideal candidate will have prior experience with data analysis and a passion for using innovative technologies such as LLM and AutoML to craft creative solutions that automate the most repetitive and time-consuming parts of data analysis. ## About You - You are deeply interested in backend technologies and have a solid grounding in software engineering principles. - You have a solid grounding in data analysis, particularly using Python, and you are adept at leveraging this skill to build effective AI solutions. - You thrive in fast-paced environments and are excited about solving complex problems with scalable and efficient solutions. - You have a proactive approach towards learning new technologies and frameworks in the rapidly evolving AI domain. ## Qualification - BS/MS degree in Computer Science, AI, or a related field. - 3-5 years of production-grade Python development experience. - Hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), and LLMs. - Experience with AutoML and data analysis tools. - Strong understanding of software engineering principles and best practices. - Ability to work in a fast-paced, agile environment. - Excellent problem-solving skills and a passion for innovation. ## What we offer - Competitive salary ranging from ₹25L – ₹30L. - Remote work flexibility with options for onsite in Hyderabad. - Relocation allowance available. - Opportunity to work on cutting-edge AI technologies. - Collaborative and innovative work environment. - Professional growth and learning opportunities. - Health and wellness benefits. - Flexible work hours and work-life balance.
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