Gen AI - Senior Engineer

Job Description

Must-Have Skills

• Python: needed to build automation, AI workflows, and data processing logic.
• Machine learning basics: needed for classification, anomaly detection, and smart matching.
• Ollama / local model integration: needed for AI features without external LLM access
• API integration: needed to connect systems and automate data exchange
• SQL: needed for data validation, reconciliation, and report checks
• OCR: extracting structured information from documents and images
• Debugging and logging: needed to quickly identify issues and maintain traceability
• FastAPI or similar backend skills: useful for building AI and automation APIs
• Git & Version control

Good-to-Have Skills

• Financial /reporting domain knowledge
• Exposure to test Automation: beneficial when collaborating with QA team.
• Docker and CI/CD: useful for packaging and deploying solutions
• Experience with audit trails and compliance testing: important for controlled enterprise workflows
• Text classification and anomaly detection: useful for AI-supported testing and data checks
• Vector search or retrieval-based solutions(RAG): useful if document search is needed later
• QA and validation skills: needed to confirm output accuracy and business correctness

Tech Stack

• Python
• FastAPI
• Ollama
• Open-source LLMs
• SQL
• Pandas and NumPy
• scikit-learn
• OCR tools such as Tesseract, Azure Form Recognizer, AWS Textract, or Google Document AI
• Docker
• Git and CI/CD pipelines
• REST APIs and JSON integration
• Vector database for document search and retrieval
• RAG

The resource should possess strong AI/ML engineering skills and be capable of developing AI-powered solutions while collaborating closely with QA and business teams to ensure solution quality, accuracy, and enterprise readiness. Prior exposure to automation testing is an added advantage but is not mandatory.

Mandatory Competencies