Responsibilities:

• Build automation, AI workflows, and data processing logic
• Implement AI features without external LLM access
• Connect systems and automate data exchange through APIs
• Use SQL for data validation, reconciliation, and report checks
• Extract structured information from documents and images using OCR
• Use debugging and logging to identify issues and maintain traceability
• Develop AI-powered solutions with strong AI/ML engineering practices
• Collaborate closely with QA and business teams to ensure quality, accuracy, and enterprise readiness

Additional responsibilities:

• Support classification, anomaly detection, and smart matching use cases
• Build AI and automation APIs with FastAPI or similar backend skills
• Contribute to controlled enterprise workflows with audit trails and compliance testing
• Support document search and retrieval with vector search or retrieval-based solutions
• Confirm output accuracy and business correctness through QA and validation
• Package and deploy solutions using Docker and CI/CD pipelines
• Work with test automation when collaborating with the QA team

Nice to have:

• Financial or reporting domain knowledge
• Exposure to test automation
• Experience with audit trails and compliance testing
• Text classification and anomaly detection
• Vector search or retrieval-based solutions for document search
• QA and validation skills

More skills:

Machine learning basics, local model integration, debugging, logging, Git, version control, Pandas, NumPy, scikit-learn, Tesseract, Azure Form Recognizer, AWS Textract, Google Document AI, Docker, CI/CD, REST APIs, JSON integration, open-source LLMs, cloud application integration, deployment, agentic AI systems

Other:

• Mandatory competencies include Advanced GenAI & Agentic Framework Concepts, Pandas, Python, Cloud Application Integration & Deployment, NumPy, Retrieval Augmented Generation / Graph RAG / Agentic AI Systems, Prompt Engineering / Vector Databases, and Workflow & Agentic Frameworks such as LangChain and LangGraph
• The company describes itself as one of India’s Top 25 Best Workplaces in the IT industry and one of the fastest-growing IT services companies
• The organization works across financial services, healthcare, transportation and logistics, and professional services
• Work spans complex, mission-critical applications across Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation
• The culture emphasizes ownership, career growth, personalized development, continuous learning, and mentorship
• World-class benefits are offered for financial, health, and well-being support