Applied AI Engineer

Nextpower India Private Limited; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Nextpower India Private Limited in Hyderabad is seeking an experienced software engineer to build agentic AI applications and robust backend services.

You will create agents that understand tasks, call tools, and collaborate with product, security, and QA teams to balance rapid experimentation with reliability and security. The role emphasizes Python/Django or FastAPI, Go, Angular/TypeScript, and Azure deployment with a focus on maintainability and observability.

Qualifications

• 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 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.

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.

Skills

Software engineering

LLM/agentic AI

Python (Django/FastAPI)

LLM app patterns

LangGraph

LangChain

Semantic Kernel

APIs and integration

REST APIs & async

PostgreSQL/MySQL & Redis & Docker

Software design & version control

AI safety & observability

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

LangGraph

LangChain

Semantic Kernel

Job description

Location: Hyderabad

Experience: BS and 5-8 years MS and 3-6 years PhD and 0-3 yea

Primary Areas: Agentic AI, LLM Application Development, Backend Engineering

Primary Stack: Python, Django/FastAPI, Azure OpenAI, Azure AI Foundry, PostgreSQL, Redis, Go, Angular/TypeScript, Docker

ROLE SUMMARY

Build practical, production-oriented AI applications and agentic workflows for Nextpower's engineering and business platforms. You will develop agents that can understand tasks, use tools and APIs, work with enterprise data, produce structured outputs, and involve people when approval or review is required. You will integrate these capabilities into our Python/Django, Go, and Angular/TypeScript platform on Azure. The role requires strong software engineering fundamentals and a willingness to balance rapid experimentation with reliability, security, evaluation, and maintainability.

KEY 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.

REQUIRED SKILLS

• 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 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.

PREFERRED SKILLS

• 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.

SOFT SKILLS

• Curious, pragmatic, and able to learn rapidly in a changing technology area.
• Strong quality, security, and reliability mindset.
• Able to choose when agentic AI is appropriate and when deterministic logic is preferable.
• Clear communicator with strong ownership of outcomes.
• Comfortable working through ambiguity and iterating from prototype to production.

EDUCATIONAL QUALIFICATION

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent practical experience may also be considered.

At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility‑scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data‑driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.

We are Nextpower At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility‑scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data‑driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.