Software Engineer

1 week ago

Hyderabad, India Bicycle AI Full time

About Us:

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.

This is a full-time, in-office position because our best ideas get sparked in real-life huddles - not slack

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.

➔ 2-3 years of production-grade Python development experience.

➔ Hands-on experience with data analysis using Python.

➔ Proficiency in working with Large Language Models (LLMs) and an understanding of prompt engineering techniques.

➔ Experience with Retrieval Augmented Generation (RAG) systems and Agentic RAG approaches.

Good to Have

➔ Familiarity with frameworks such as Langgraph, Crew AI and vector databases.

➔ Knowledge of specialized task agents focused on domain-specific problems.

➔ Exposure to dynamic tool selection and parallel processing in multi-agent environments.

➔ Knowledge of API integration and memory management for contextual decision-making.

➔ Familiarity with workflow design for multi-agent systems and evaluation metrics for assessing agent performance.

Key Responsibilities

➔ Design, develop, and implement AI agents that act as business and data analysts within our platform.

➔ Collaborate with cross-functional teams to enhance agent capabilities and ensure seamless data-driven insights delivery.

➔ Utilize Agentic RAG to decompose complex queries and strategically improve information retrieval processes.

➔ Implement and manage multi-agent frameworks to support autonomous task execution.

➔ Integrate external APIs and enhance agent memory systems for improved contextual awareness.

➔ Evaluate and optimize multi-agent workflows to improve performance and efficiency.

Join Bicycle to be part of a team that values innovation, efficiency, and the transformative potential of data analytics in the modern business landscape.

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