Senior Analyst Manager AI Technology Development TIS

D.E. Shaw Renewable Investments, Inc.; Hyderabad; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

D.E. Shaw Renewable Investments, Inc. in Hyderabad, India, seeks an experienced software engineer to design and build LLM-powered applications and agentic workflows.

You will develop scalable Python backends, expose APIs via REST/gRPC, and lead frontend work with React/Next.js/TypeScript for internal AI tools. You will implement AI automations across investment, operations, and analytics, ensuring robust, observable systems with strong focus on safety and reliability.

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, or related quantitative field.
• 3–5 years of software engineering experience with hands-on production AI/LLM exposure.
• Experience owning frontend development for internal AI tools (React/Next.js/TypeScript) and production deployment.

Responsibilities

• Design and build LLM-powered applications and agentic workflows using LangGraph, CrewAI, or equivalent and native LLM SDKs.
• Develop and maintain scalable backend services and APIs in Python with REST and 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, 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, reliability.
• Ensure AI safety and responsible use, including prompt-injection mitigation and PII handling.
• Collaborate 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 workflows.

Skills

React

Next.js

TypeScript

Python

REST/gRPC

LLM SDKs OpenAI Anthropic Gemini

LangGraph

agent frameworks

Frontend architecture

Production systems

Code reviews

Education

Bachelor’s or Master’s in CS/Engineering

Tools

OpenAI

Anthropic

Gemini

Job description

Job Description:

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 youll 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.