Key Responsibilities
- Design, develop, and enhance reusable AI and automation assets (modules, frameworks, libraries) that can be adopted by internal teams at client.
- Build and integrate backend services (Python-based) with frontend applications (React).
- Contribute to internal platforms that measure AI adoption, productivity, and usage metrics across client premise/application/infrastructure.
- Enhance and extend existing internal applications (e.g., sentiment analysis, data-driven tools, AI workflows).
- Work with large, fragmented datasets and help improve data governance and usability.
- Develop modular, well-documented components that other teams can easily consume (similar to internal open-source projects).
- Collaborate across teams to improve AI-assisted development workflows, including long-running AI coding tasks and agent-based development models.
- Use GitHub for version control, collaboration, and contribution workflows.
- Work closely with internal stakeholders to understand requirements and deliver iterative improvements.
Required Skills & Experience
Must-Have Skills
- Strong proficiency in Python
- Strong SQL skills
- Experience integrating frontend and backend systems
- Familiarity with GitHub-based development workflows
- Experience working in product development or platform engineering environmentsGood-to-Have Skills
- React.js (Frontend development)
- Experience with NoSQL databases (e.g., MongoDB)
- Familiarity with Apache Airflow
- Exposure to AI/ML-enabled applications or automation
- Experience working with data warehouses
- Comfort using AI coding tools (e.g., code generation, agent-based development, Cursor, Codex, etc.) Note: Candidates do not need to be experts across all layers. Strength in 12 core areas is acceptable; the team will support skill gaps.Technology Stack
- Backend: Python
- Frontend: React.js
- Databases: SQL, NoSQL (MongoDB or equivalent)
- Workflow Orchestration: Apache Airflow (in some cases)
- Cloud: Snowflake , Client Internal Cloud (training provided)
- Version Control: GitHub
- AI Tooling: AI coding assistants, agent-based workflows Working Model
- Work site will be near Ecospace Bellandur Area
- Highly collaborative, fast-paced environment with multiple concurrent projects Ideal Candidate Profile
- Pragmatic engineer who enjoys building reusable platforms, not just one-off features
- Comfortable working in ambiguous, evolving AI-driven environments
- Collaborative mindset and willingness to work closely with internal teams
Interested in shaping how AI is adopted across a large enterprise
