Note: The job is a remote job and is open to candidates in USA. The client is a global consulting, technology, and digital firm specializing in financial services and digital transformation. The AI Engineer will develop and deploy AI, machine learning, generative AI, intelligent document processing, LLM-powered applications, AI agents, RAG solutions, REST APIs, microservices, and workflow automation platforms while supporting responsible AI, governance, monitoring, and enterprise integration practices.
Skills
- 5+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions
- 5+ years of hands-on experience with Python and AI development frameworks, including LangChain, LangGraph, Google ADK, and agent-based architectures
- 3+ years of experience implementing Document AI / Intelligent Document Processing (IDP) solutions involving OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, fuzzy comparison, and API integration
- 3+ years of experience designing and developing REST APIs, Microservices, and JSON/XML schema mappings for enterprise integrations
- Strong experience building and deploying LLM-powered applications, AI agents, RAG (Retrieval-Augmented Generation) solutions, and workflow automation platforms
- Experience implementing confidence scoring, validation frameworks, human-in-the-loop (HITL) workflows, and exception handling mechanisms
- Familiarity with workflow orchestration platforms, business process automation, and event-driven architectures
- Strong understanding of data privacy, PII handling, AI governance, model explainability, auditability, and responsible AI controls
- Experience with prompt engineering, vector databases, embeddings, and semantic search technologies
- Proficiency in Git, CI/CD pipelines, Agile methodologies, and automated testing practices
- Familiarity with MongoDB, Neo4j Knowledge Graphs, Redis, and vector databases
- Knowledge of MLOps, AI observability, model monitoring, and evaluation frameworks
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and collaboration abilities within cross-functional teams
Benefits
- Remote and onsite work model
- Professional growth and development opportunities
- Diverse and inclusive work environment
Company Overview
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