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

D.E. Shaw Renewable Investments, Inc.; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

D. E. Shaw Renewable Investments seeks a Senior Analyst/Manager for AI/Technology Development in Hyderabad. You will design and deploy LLM-powered solutions, build scalable Python services, and lead end‑to‑end engineering across data sources, automation, and production systems.

You will collaborate with stakeholders to translate complex problems into robust AI applications, mentor engineers, and contribute to system design and observability practices in a fast-paced renewable energy portfolio.

Qualifications

• Bachelor’s or master’s degree in CS or related quantitative field with 3–5 years of software engineering and applied AI/LLM experience.
• Frontend development for internal AI tools using React, Next.js and TypeScript, including architecture, state management and deployment.
• Strong Python skills with scalable APIs (REST/gRPC) and production-grade backend systems.
• Hands-on with LLM SDKs (OpenAI, Anthropic, Gemini) and agent frameworks (LangGraph or similar).
• Experience building lightweight UIs and prototyping quickly in ambiguous environments.
• Ability to mentor junior engineers and communicate effectively with stakeholders.

Responsibilities

• Design and build LLM-powered applications and workflows using LangGraph, CrewAI, or equivalent.
• Develop and maintain scalable backend services and APIs in Python with REST/gRPC exposure.
• Create LLM-driven automations to augment or replace manual processes across investment, operations, and analytics.
• Integrate LLMs with structured and unstructured data sources and third-party APIs.
• Own end-to-end engineering lifecycle: requirements, design, implementation, testing, deployment, observability, 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 with business stakeholders to translate problems into production-grade AI solutions.
• Contribute to code reviews, system design, and best practices with GitHub workflows.

Skills

Python

LLM frameworks

React

TypeScript

REST

gRPC

LangGraph

OpenAI

Anthropic

Gemini

API design

Frontend development

Production-grade systems

Education

Bachelor’s/Master’s in CS

Tools

LangGraph

OpenAI

Anthropic

Gemini

Job description

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

About DESRI

DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We haveacquiredor developed approximately 11.9gigawatts of contracted capacity across a portfolio of over85 renewable energy projects in 24 states. DESRI is run by a dynamic team with officeslocatedat New York, Denver, Portland, Houston, and Hyderabad (India).

About the role

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.

What you'll do

• 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.

Qualifications

• 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.