AI/ML Engineer (Senior Associate) - Remote

Key Responsibilities

• Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
• Create intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
• Build modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
• Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
• Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
• Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
• Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
• Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities
• Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution

Required Qualifications

• 3+ years of hands-on experience in AI/ML development or intelligent application engineering
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• Experience in Python
• Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
• Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Preferred Qualifications

• 5+ years of hands-on experience in AI/ML development or intelligent application engineering
• Proficiency in Python
• Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
• Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
• Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
• Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
• Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
• Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
• Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
• Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
• Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
• Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills
• Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery