Junior Builder — Datavedam

Company Description DatavedamEdge is a boutique agentic AI studio focused on building autonomous AI co‑pilots for enterprises that ingest data, apply policy‑aware reasoning, and take action on tasks. The company goes beyond traditional chatbot solutions, creating systems that can execute workflows and support decision-making. Its indigenous, edge‑ready offerings include the Sarva agent technology, designed for robust on-device intelligence, and Bodhi model distillation, which optimizes AI models for efficiency. DatavedamEdge provides cutting-edge AI solutions for organizations looking to operationalize intelligent automation in real-world environments.
Role Description As a Junior Builder — Datavedam at DatavedamEdge, you will support the design, configuration, and testing of agentic AI co‑pilots based on the Sarva and Bodhi technologies. You will work closely with senior builders and engineers to translate business workflows into AI-driven task flows, set up data ingestion pipelines, and configure policy-aware logic for agents. Daily responsibilities include building and refining agent templates, documenting implementation details, assisting in troubleshooting and debugging, and collaborating with cross-functional teams to ensure solutions are reliable and scalable. You will also help prepare demos and prototypes for internal stakeholders and client engagements, while continuously learning new tools and frameworks in the AI ecosystem. This is a full-time, on-site role based in Bengaluru.
Qualifications
Candidates should possess foundational skills in programming and scripting (e.g., Python, JavaScript) and be comfortable working with APIs.
Candidates should have basic data handling and analysis skills, including familiarity with data formats (JSON, CSV), databases, and data validation.
Candidates should possess skills in logical reasoning and workflow design, including the ability to map business processes into step-by-step task flows.
Candidates should have an understanding of AI/ML concepts at a conceptual level, including models, inference, and constraints, and be eager to learn agentic AI frameworks.
Candidates should demonstrate strong documentation and communication skills, including clear written communication and the ability to collaborate in multidisciplinary teams.
A bachelor’s degree in engineering, computer science, information technology, or a related field, or equivalent practical experience, is preferred.
Ability to learn quickly, work systematically, pay attention to detail, and take ownership of assigned modules in a fast-moving product studio environment.
Familiarity with cloud or edge computing environments, version control (e.g., Git), and basic software development practices will be considered an advantage.

Work arrangement
No