AI - Senior Software Engineer

Praxy; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Praxy seeks a hands-on AI Engineer to design, develop, and deploy AI-powered applications leveraging LLMs, Agentic AI frameworks, and modern AI engineering tools. You will design AI agents, copilots, and autonomous workflows, building with LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.

The role requires 3–8 years of software engineering and at least 2 years in Generative AI or Agentic AI, with strong Python and API integration skills.

Qualifications

• 3–8 years of software engineering experience.
• Minimum 2 years of hands-on experience in Generative AI, Agentic AI, or LLM-based development.
• Experience building AI-powered applications, agents, copilots, or automation solutions in enterprise contexts.

Responsibilities

• Design and develop AI agents, copilots, and autonomous workflows.
• Build solutions using LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
• Develop RAG solutions, semantic search, and enterprise knowledge assistants.

Skills

Python

REST APIs

FastAPI/Flask

LangChain

LangGraph

CrewAI

AutoGen

Google ADK

Prompt Engineering

Function/Tool Calling

Agent Workflows

Memory Concepts

RAG

Vector Databases

Docker

AWS/Azure/GCP

CI/CD

Model Context Protocol

Multi-Agent Systems

GraphRAG

Semantic Kernel

OpenAI Agents SDK

Pydantic

Promptfoo

RAGAS

Knowledge Graphs

React/Streamlit

Education

Bachelor of Technology

Tools

Docker

AWS

Azure

GCP

Job description

# AI - Senior Software Engineer: Noida, UP, in: Oct 8, 2026: Oct 8, 2026## About the roleRole OverviewWe are looking for a hands-on AI Engineer to design, develop, and deploy AI-powered applications leveraging LLMs, Agentic AI frameworks, and modern AI engineering tools. The ideal candidate should have practical experience building AI agents, copilots, and RAG-based solutions that solve real business problems and create measurable value.Key Responsibilities- Design and develop AI agents, copilots, and autonomous workflows.- Build solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.- Develop RAG solutions, semantic search capabilities, and enterprise knowledge assistants.- Integrate AI solutions with business applications, APIs, databases, and enterprise systems.- Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.- Package, deploy, and monitor AI applications in cloud environments.- Contribute reusable frameworks, accelerators, and AI engineering best practices.Required Technical SkillsProgramming & Engineering- Strong proficiency in Python.- Experience with REST APIs and integrations.- FastAPI, Flask, or similar frameworks.- Strong software engineering and system design fundamentals.Agentic AI & LLMs- Hands-on experience with one or more:- LangChain- LangGraph- CrewAI- AutoGen- Google ADK- Prompt Engineering- Function/Tool Calling- Agent Workflows and Memory Concepts- Building LLM-powered applicationsRAG & Knowledge Systems- Retrieval-Augmented Generation (RAG)- Vector Databases (Pinecone, Chroma, Weaviate, Milvus, etc.)- Semantic Search and EmbeddingsCloud & Deployment- Docker- Azure, AWS, or GCP- CI/CD fundamentalsPreferred Skills- Model Context Protocol (MCP)- Multi-Agent Systems- GraphRAG- Semantic Kernel- OpenAI Agents SDK- PydanticAI- AI Evaluation Frameworks (Promptfoo, RAGAS)- Knowledge Graphs- React or Streamlit-based AI applicationsProfessional Attributes (Mandatory)- Strong collaborator capable of working effectively across engineering, product, business, and leadership teams.- Excellent communication skills with the ability to explain technical concepts to diverse audiences.- Confident, proactive, and self-driven individual who takes ownership and delivers results.- Strong networking and relationship-building abilities, with the capability to engage stakeholders across teams and geographies.- Comfortable conducting demos, presentations, workshops, and technical discussions.- Passionate about continuous learning and staying current with emerging AI technologies.Experience Requirements- 3–8 years of overall software engineering experience.- Minimum 2 years of hands-on experience in Generative AI, Agentic AI, or LLM-based application development.- Experience building and delivering AI-powered applications, agents, copilots, or automation solutions in enterprise or production environments.Total Experience Expected: 03-04 yearsBachelor of TechnologyIdeal Candidate SummaryA hands-on AI Engineer with strong software engineering fundamentals and at least 2 years of experience in Generative AI and Agentic AI. The ideal candidate has experience building AI agents, copilots, and RAG-based solutions using modern agent frameworks and LLM technologies. Beyond technical expertise, they are a confident communicator, strong collaborator, and relationship builder who can effectively influence stakeholders, drive cross-functional collaboration, and help accelerate AI innovation across the organization.At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.All of our positions are open to people with disabilities.