AI/ML Engineer with Agentic AI-CoPilot-GitHub

Role: AI/ML Engineer Location: USA (Remote) Duration: 12+ Months Exp: 10+ Job Description: We are having an open position with one of our investment banking client. Key points to note. • Github and Co-pilot are must have skills along with AI/ML. • Client is trying leverage GitHub and CoPilot and they need someone with Advanced Github and CoPilot knowledge. • Problem Statement: Plugin for integration for python project. Code to accelerate. Need a structure the way the engineering is done. AI/ML Role with Agentic AI Exposure – Key Elements Core Responsibilities • Design and implement agentic AI systems that autonomously plan and execute tasks to meet user-defined goals. Very focused on python code generation . • Develop and deploy LLM-based agents using frameworks like LangChain, LangGraph, and custom runtimes. • Integrate AI agents with external APIs and services, enabling orchestration across enterprise workflows. • Build and maintain pipelines for training, testing, and deploying models in production environments (e.g., Azure ML). Technical Skills Required • Programming: Python, SQL, PySpark, • Frameworks & Tools: Lang Chain, LangGraph, Hugging Face Transformers, OpenAI API, data bricks • Cloud Platforms: Azure, • ML/AI Techniques: Reinforcement learning, multimodal models, vector databases (e.g., FAISS, Pinecone), NLP. • DevOps: CI/CD pipelines, Docker, Kubernetes, Airflow. Agentic AI Exposure • Agentic AI refers to autonomous or semi-autonomous software entities that perceive, decide, and act to achieve goals in digital or physical environments. • Roles often involve building multi-agent systems, enabling emergent behaviors, and ensuring robustness and trustworthiness in agent actions. • Use cases Generate Python code from business rules and RAG, include automating workflows, generating reports, Qualifications • Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field. • 3–10 years of experience in AI/ML, with at least 2 years in agentic AI or autonomous systems. • Experience in deploying production-grade AI solutions and working with enterprise data systems.