Key Responsibilities

1. Platform and UI Development

- Design and develop internal web platforms, dashboards, portals and productivity tools for research analysts, dealers, operations, compliance and management teams.
- Build clean, responsive and intuitive interfaces including forms, data tables, filters, approval screens, charts, document viewers, search tools and management dashboards.
- Maintain and enhance existing platforms based on user feedback, performance requirements and changing business needs.

2. AI-Assisted Engineering and LLM Integration

- Use ChatGPT, OpenAI Codex, Claude Code and similar AI development tools for coding, debugging, refactoring, test generation, documentation and rapid prototyping.
- Integrate large language models through APIs to support structured extraction, intelligent search, summarisation, classification, report drafting and question-answering workflows.
- Design reliable prompts, reusable AI workflows, agentic processes and structured-output schemas with human-review controls.
- Review all AI-generated code and output for correctness, privacy, security, maintainability and alignment with business requirements.

3. Research Automation

- Automate collection, extraction, validation and presentation of information from annual reports, investor presentations, exchange filings, earnings releases, concall transcripts, PDFs and spreadsheets.
- Develop systems for result updates, KPI sheets, peer comparisons, financial-data trackers, research templates, sector databases and management reports.
- Build tools for monitoring corporate announcements, results, market developments and research inputs, with alerts and exception reporting where required.
- Reduce repetitive analyst work while preserving source traceability, data accuracy and mandatory review before publication or external circulation.

4. Business-Process Automation and Integrations

- Create scheduled and event-driven automations with logging, retry handling, exception queues and clear ownership for manual intervention.




- Ensure all automations comply with internal controls, confidentiality requirements and applicable securities-market processes.

5. Data, Document and Backend Engineering

- Build data pipelines to collect, clean, validate, transform and store structured and unstructured data.
- Design efficient database schemas and APIs for research content, financial data, bond quotes, client information, compliance records and operational workflows.
- Implement document-processing capabilities for PDFs, Word files, spreadsheets, scanned documents and standard business templates.
- Maintain data lineage, version history, access controls and recoverability for business-critical information.

6. Testing, Deployment, Security and Maintenance

- Write and maintain unit, integration and user-acceptance tests; validate data outputs and edge cases before production deployment.
- Implement secure authentication, role-based access, secrets management, audit logs and controls for confidential or regulated information.
- Troubleshoot production issues, improve performance and reliability, and maintain technical documentation, repositories and change logs.

Required Qualifications and Technical Skills

- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering or a related discipline.
- Strong hands-on programming ability in Python and JavaScript/TypeScript, with sound understanding of software design, debugging and version control.
- Experience with backend frameworks such as FastAPI, Django, Flask, Node.js or equivalent, and development of secure REST APIs.
- Working knowledge of SQL and relational databases such as PostgreSQL, MySQL or SQL Server; familiarity with document or vector databases is helpful.
- Practical experience using ChatGPT, Codex, Claude Code, GitHub Copilot or comparable AI coding tools in real development workflows.
- Ability to independently translate business requirements into usable, maintainable and scalable technical solutions.

Pay: ₹500,000.00 - ₹1,800,000.00 per year

Benefits :

- Flexible schedule
- Provident Fund
- Work from home

Work Location: In person

📌 Ai Engineer - Stock Broking Bfsi (Andheri East)
🏢 PP Capital
📍 Andheri East