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Nextpower

Integrated energy tech for utility-scale power

Applied AI Engineer

AI Application Engineering +1Updated on Nov 12
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Professional software engineering experience.
  • Hands-on experience building an LLM-powered or agentic AI application, prototype, or production feature.
  • Strong Python skills with Django, FastAPI, or a similar backend framework.
  • Practical understanding of LLM application patterns, including tool calling, structured outputs, prompt and context management, agent workflows, and retrieval-augmented generation (RAG).
  • Experience with an LLM or agent framework such as LangGraph, LangChain, Semantic Kernel, or similar.
  • Experience integrating APIs, databases, or business services into AI workflows.
  • Understanding of REST APIs, asynchronous processing, retries, and error handling.
  • Experience with PostgreSQL or MySQL, Redis, and Docker.
  • Understanding of AI evaluation, testing, observability, and responsible AI practices.
  • Strong fundamentals in software design, debugging, version control, code reviews, and maintainability.
  • A Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field; equivalent practical experience may also be considered.
  • Curiosity, pragmatism, and ability to learn rapidly in a changing technology area.
  • A strong quality, security, and reliability mindset.
  • Ability to choose when agentic AI is appropriate and when deterministic logic is preferable.
  • Clear communication and strong ownership of outcomes.
  • Comfort working through ambiguity and iterating from prototype to production.

Responsibilities

  • Design and build agentic AI features using tool/function calling, structured outputs, workflow orchestration, state management, and human-in-the-loop controls.
  • Integrate agents with APIs, databases, documents, business services, and external systems.
  • Select appropriate solutions, including deterministic workflows, single-agent solutions, or multi-agent orchestration.
  • Build LLM applications using prompt engineering, context management, RAG, vector search, and model APIs.
  • Implement asynchronous workflows with retries, timeouts, progress tracking, and recovery.
  • Integrate AI capabilities into backend services and expose them through clean APIs and user interfaces.
  • Define evaluations and automated tests for accuracy, task completion, tool use, reliability, latency, cost, and safety.
  • Add guardrails for prompt injection, unauthorized actions, data leakage, and unsafe tool use.
  • Add tracing and observability for prompts, model calls, retrieval, tool calls, workflow state, errors, latency, and cost.
  • Collaborate with product, engineering, QA, security, and subject-matter experts to deliver maintainable AI capabilities.

Desired Qualifications

  • Experience with Azure OpenAI, Azure AI Foundry, or Azure AI Search.
  • Experience deploying AI applications to the cloud.
  • Experience with multi-step, asynchronous, or long-running agent workflows.
  • Experience with PostgreSQL/pgvector or another vector database.
  • Go backend or Angular/TypeScript experience.
  • Familiarity with event-driven systems, queues, workflow orchestration, or OpenTelemetry.
  • Experience with AI-assisted development or developer-productivity tools.

About the Company

Nextpower

Integrated energy tech for utility-scale power

Nextpower provides integrated technology solutions for modern energy infrastructure by combining solar, energy storage, software, and digital technologies. Its products help customers design, build, and operate utility-scale power plants and other critical power infrastructure, using a mix of hardware, software, and services to deliver faster project delivery, better performance, higher reliability, and longer-term operational value. Compared with competitors, Nextpower offers end-to-end, globally implemented solutions that span engineering, construction, and ongoing operation, backed by over a decade of energy technology leadership. The company’s goal is to deliver reliable firm power to support a rapidly electrifying world.

Company size
501-1,000
Company stage
IPO
Headquarters
Fremont, CA
Founded
2013

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