AI/ML Engineer

We are seeking a highly experienced Senior AI Engineer / AI & DevOps Engineer to design, develop, deploy, and operationalize enterprise AI solutions, intelligent automation capabilities, model monitoring platforms, and cloud-native applications., Develop scalable Python-based applications and REST APIs using FastAPI or similar frameworks. Integrate AI solutions with AWS services, including Amazon Bedrock, Lambda, S3, EC2, and SageMaker. Develop intelligent automation capabilities and AI-powered workflows. Implement MLOps practices for model deployment, monitoring, performance optimization, and governance. Build and maintain CI/CD pipelines using GitLab/Git and containerization technologies such as Docker. Process and transform structured and semi-structured data for AI applications. Implement model monitoring, observability, and production support processes. Collaborate with engineering, data science, DevOps, and business teams to deliver enterprise AI solutions. Follow best practices for security, scalability, reliability, and responsible AI implementation. Nice-to-Have Skills LangChain and LangGraph AI agents and multi-agent frameworks Angular, React, and TypeScript PostgreSQL Tableau, Power BI, or Plotly Terraform, Kubernetes, and CloudFormation MCP (Model Context Protocol) GitHub Copilot / OpenAI Codex administration Financial services or mortgage domain experience AWS AI/ML certifications Foundation model fine-tuning Intelligent Document Processing (IDP), OCR, and NLP

The ideal candidate will have strong hands-on expertise in Generative AI, Large Language Models (LLMs), Python development, AWS AI services, AI agents, MLOps, DevOps, and cloud engineering. Must-Have Skills AI/ML Engineering and Generative AI Strong Python development experience Large Language Models (OpenAI, Anthropic, Amazon Bedrock, etc.) Prompt engineering and LLM application development AWS services: Bedrock, Lambda, S3, EC2, and SageMaker REST API development, preferably FastAPI SQL and data modeling MLOps, model deployment, and model monitoring CI/CD pipelines, GitLab/Git, and Docker RAG (Retrieval-Augmented Generation), vector databases, and embeddings Data processing using JSON, Excel, structured, and semi-structured data Strong problem-solving, analytical, and communication skills 5 8+ years of software engineering experience Detailed Job Responsibilities Design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions.