Senior Analyst AI/Technology Development

Role Overview: As a resourceful and driven professional at DESRI, you will be based out of the firms Hyderabad, India office. You will be part of a small, inclusive, highly skilled team responsible for supporting DESRIs portfolio of wind, solar, and battery projects in an agile environment that values collaboration, thoughtful problem-solving, and attention to detail. Key Responsibilities: - 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: - Bachelors or masters degree in computer science, Engineering, or a related quantitative field, with 24 years of software engineering experience and hands-on exposure to applied AI / LLM systems in production. - 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. Role Overview: As a resourceful and driven professional at DESRI, you will be based out of the firms Hyderabad, India office. You will be part of a small, inclusive, highly skilled team responsible for supporting DESRIs portfolio of wind, solar, and battery projects in an agile environment that values collaboration, thoughtful problem-solving, and attention to detail. Key Responsibilities: - 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: - Bachelors or masters degree in computer science, Engineering, or a related quantitative field, with 24 years of software engineering experience and hands-on exposure to applied AI / LLM systems in production. - 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.