Senior Analyst/Manager – AI/Technology Development (TIS)

DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 11.9 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states. DESRI is run by a dynamic team with offices located at New York, Denver, Portland, Houston, and Hyderabad (India).

We are looking for a resourceful and driven professional to join DESRI, based out of the firm’s Hyderabad, India office. The successful candidate will be a part of a small, inclusive, highly skilled team responsible for supporting DESRI’s portfolio of wind, solar and battery projects in an agile environment that values collaboration, thoughtful problem solving, and attention to detail.

• →Design and build LLM-powered applications and agentic workflows using frameworks such as LangGraph, CrewAI, or equivalent, along with native LLM SDKs (OpenAI, Anthropic, Google).
• →Develop and maintain scalable backend services and APIs in Python, exposing capabilities via REST and gRPC.
• →Build LLM-driven automations (e.g., document intelligence, workflow copilots, chat-to-action systems) to augment or replace manual processes across investment, operations, and analytics.
• →Integrate LLMs with structured and unstructured data sources, including databases, document stores, and third-party APIs.
• →Own the end-to-end engineering lifecycle: requirements, design, implementation, testing, deployment, observability, and iteration.
• →Establish evaluation and observability frameworks for LLM systems, balancing cost, latency, and reliability.
• →Ensure AI safety and responsible use, including prompt-injection mitigation and PII handling.
• →Collaborate closely with business stakeholders to translate ambiguous problems into production-grade AI solutions.
• →Contribute to code reviews, system design discussions, and engineering best practices using GitHub-based workflows.

• Bachelor’s or master’s degree in computer science, Engineering, or a related quantitative field, with 3–5 years of software engineering experience and hands-on exposure to applied AI / LLM systems in production.
• Own end-to-end frontend development for internal AI tools and copilots (React, Next.js, TypeScript), including component architecture, state management, and production deployment — not limited to prototyping.
• Provide technical guidance and mentorship to junior engineers
• Strong Python expertise with experience building scalable APIs (REST/gRPC) and production-grade backend systems.
• Hands-on experience with LLM SDKs (OpenAI, Anthropic, Gemini) and agent frameworks (LangGraph or similar), including prompt engineering, agentic workflows, and building AI applications (automation, copilots).
• Experience building lightweight UIs (React, Next.js, TypeScript) and ability to prototype and iterate quickly in ambiguous environments.
• Clear communicator with a strong ownership mindset for production systems (reliability, cost, and user experience) and awareness of evaluation, observability, and AI safety best practices.