Project Intel
- Forward-Deployed AI Engineering
- Partner directly with bankers to identify and prioritize high-impact AI use cases across deal workflows
- Agentic Workflow Development
- Build and deploy multi-step AI agents to improve productivity across sourcing, execution, and analysis
- AI-Generated Deal & Marketing Materials
- Automate creation of pitch decks, CIMs, and other client-facing content using AI
- Claude Skills, Plugins & Data Integration
- Develop domain-specific AI skills and connect them to internal data sources using MCP and plugins
- Financial Modeling Augmentation
- Enhance and streamline banker modeling workflows with AI-assisted analysis
- Rapid Prototyping & Productionization
- Deliver solutions in short iterative cycles and scale successful use cases into production
- AI-Driven Prospecting
- Build workflows to identify and prioritize target companies and opportunities
- Product-Led Execution
- Execute against a structured backlog, translating requirements into technical solutions under product leadership
Experience
- 35+ years in data/engineering roles, with 3+ years focused on AI engineering
- Proven track record of deploying and scaling agentic systems in production
- Experience working in regulated environments with governance and security constraints
Required Skills (Priority Order)
- Agentic Application Development Hands-on experience building multi-step agents, tool-use patterns, and prompt chaining using frameworks such as Anthropic SDK, LangChain, Microsoft Agent Framework, and Pydantic AI
- Claude Ecosystem Expertise Experience developing Claude Skills, plugins, connectors, and Cowork agents in production environments
- Cross-Platform Agent Development – Ability to migrate and adapt agent workflows across platforms (e.g., Claude Copilot Studio)
- MCP Integration – Experience building MCP servers, integrating tools/data sources, and managing authentication and response handling
- Python – Robust proficiency for AI/ML
📌 Ai Ml Engineer (Hyderabad)
🏢 Wintech Services
📍 Hyderabad
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