Lead AI, Automation & Full-Stack Product Engineer

Role: Lead AI, Automation & Full-Stack Product Engineer

Exp: 5+ Years

Location: Bibwewadi Road Near Swargate

Type: Work From Office

Working Days: 6 Days (2nd and 4th Saturday off)

Interview: 2 Rounds( 1st Virtual, 2nd Face to Face)

Preferred technologies: UiPath, Power Automate, Automation Anywhere, Selenium, Playwright, Robot Framework and Python automation.

1. Key Responsibilities:

A. AI Engineering & Agentic AI

• Design and implement AI-powered enterprise applications using OpenAI, Azure OpenAI, Claude, Gemini, or equivalent.
• Develop AI Agents, Multi-Agent Systems, AI Copilots, and autonomous workflows.
• Implement RAG, embeddings, vector databases, prompt engineering, and tool calling.
• Develop intelligent document extraction, transaction classification, and exception detection.
• Implement AI evaluation, accuracy controls, and model monitoring.
• Use Cursor.ai, Claude Code, GitHub Copilot, or equivalent AI-assisted development tools.

B. RPA & Intelligent Automation

• Design and develop RPA bots for repetitive financial and business processes.
• Automate Excel, CSV, PDF, email, web applications, and financial workflows.
• Integrate RPA bots with APIs, AI agents, and enterprise applications.
• Develop attended/unattended automation, scheduling, exception handling, and monitoring.
• Build reusable automation frameworks.

C. Financial Automation & Fund Accounting

• Develop automated financial data extraction, transformation, and validation.
• Build transaction classification, mapping, and reconciliation engines.
• Implement discrepancy detection and exception management.
• Develop AI-powered financial document processing and reporting.
• Implement human-in-the-loop approvals and audit trails.
• Ensure deterministic accounting calculations, financial accuracy, and traceability.

D. Full-Stack Development & Architecture

• Develop frontend applications using React.js, TypeScript and Tailwind CSS.
• Build backend services using Node.js and/or Python.
• Design REST APIs, integrations, and multi-tenant SaaS architecture.
• Develop scalable and reusable product components.
• Implement PostgreSQL database design, optimization, and data management.
• Build secure, high-performance enterprise applications.

E. Integrations, Cloud & DevOps

• Integrate financial systems, banking platforms, ERP, CRM, and third-party applications.
• Implement workflow orchestration, event-driven architecture, and background processing.
• Deploy applications on Azure, AWS, or Google Cloud.
• Implement Docker, Git, CI/CD, and application monitoring.
• Understand MLOps, LLMOps and cloud cost optimization.

F. Security, Governance & Leadership

• Implement secure coding, RBAC, tenant isolation and API security.
• Understand AI governance, responsible AI, prompt injection, and data leakage controls.
• Work with cybersecurity teams on VAPT findings and remediation.
• Lead and mentor AI developers and full-stack engineers.
• Own technical architecture, code quality, and end-to-end product delivery.

3. Required Skills Must Have

• Strong JavaScript / TypeScript and React.js.
• Backend development using Node.js and/or Python.
• PostgreSQL and REST API development.
• Hands-on Generative AI and LLM integration.
• Practical knowledge of Agentic AI, RAG and AI orchestration.
• Experience with OpenAI, Azure OpenAI, Claude or equivalent.
• Understanding of RPA and hands-on experience with at least one automation platform or framework.
• Experience with AI-assisted coding tools such as Cursor, Claude Code or GitHub Copilot.
• Understanding of cloud platforms, SaaS architecture, and application security.

4. Good-to-Have Skills

• Fund accounting, financial automation, reconciliation, or FinTech experience.
• UiPath, Power Automate or Automation Anywhere.
• LangChain, LangGraph, CrewAI or Semantic Kernel.
• Vector databases such as pgVector, Pinecone or Weaviate.
• Machine Learning, model training, and predictive analytics.
• Pandas, NumPy, Selenium and Playwright.
• Docker, Kubernetes, Terraform and CI/CD.
• BFSI, ERP, GRC and cybersecurity domain experience.

5. Qualifications & Experience

• Bachelor’s degree in computer science, IT, Engineering, or equivalent.
• Total Industry experience 5-6 years .
• 2–3 years of relevant experience preferred.
• Practical experience in AI/ML, Generative AI, and intelligent automation.
• RPA implementation experience.
• Experience building enterprise applications or SaaS products.
• Ability to lead developers and manage technical delivery.