Hi

We have openings for AIML engineer. If interested please share your cv to [email protected]

AI Engineer:

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

- 3 to 5+ 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 application development and system integration

Key Responsibilities

- Design and deploy multi-step agentic workflows in production environments (not just POCs)
- Build AI-powered solutions supporting investment banking workflows (deal sourcing, company matching, pitch materials, financial modeling augmentation)
- Develop and integrate Claude-based agents, skills, connectors, and plugins
- Implement secure, governed AI systems with appropriate guardrails for regulated environments
- Build and integrate MCP servers to connect LLMs with internal tools and data sources
- Translate product requirements into technical implementations in partnership with product leadership
- Act as a forward-deployed engineer, collaborating directly with bankers to identify and prioritize AI use cases
- Rapidly prototype and productionize solutions in iterative cycles (weeks to days)

📌 AIML Engineer (Telangana)
🏢 Wintech Services
📍 Telangana