AI Engineer

Axway Software SA; Dadri; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Axway is seeking an AI Engineer to design, develop, and deploy AI-powered applications using LLMs and Agentic AI frameworks. You will build AI agents, copilots, and RAG-based solutions, integrating with enterprise systems and cloud environments.

The role requires hands-on experience with LangChain and related tools, strong Python and API skills, and a collaborative approach across engineering and product teams. Hybrid work in Noida, India is offered.

Qualifications

• Hands-on experience in building AI agents, copilots, and autonomous workflows.
• Experience with LangChain, LangGraph, CrewAI, AutoGen and Google ADK.
• Proficiency in integrating AI solutions with enterprise systems.

Responsibilities

• Design and develop AI agents, copilots, and workflows.
• Build solutions using LangChain, LangGraph, CrewAI, AutoGen and Google ADK.
• Develop RAG solutions, semantic search, and enterprise knowledge assistants.
• Integrate AI with APIs, databases and enterprise applications.
• Leverage AI tools like Claude Code, Cursor and GitHub Copilot.
• Package, deploy, and monitor AI apps in cloud environments.
• Contribute reusable frameworks and best practices for AI engineering.

Skills

Python

REST APIs

FastAPI/Flask

Software engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

Google ADK

Claude Code

Cursor

GitHub Copilot

Job description

Overview

This is more than a job. It’s a chance to build, grow, and make a real impact! Join our team as our new AI Engineer !

We 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.

• Location: Noida [India]
• Hybrid

Responsibilities

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 Skills

Programming & 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 applications

RAG & Knowledge Systems

• Retrieval-Augmented Generation (RAG)


• Vector Databases (Pinecone, Chroma, Weaviate, Milvus, etc.)


• Semantic Search and Embeddings

Cloud & Deployment

• Docker


• Azure, AWS, or GCP


• CI/CD fundamentals

Preferred 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 applications

Qualifications

• 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

• 3–6 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.

Company Overview

Company Overview

Axway has been shaping the future of enterprise integration for over 25 years. We are recognized as global industry leaders, helping organizations drive digital transformation with secure, mission-critical software that powers impactful business outcomes.

As part of74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of enterprise integration solutions.

Why Axway?

At Axway, we believe we’re better together. We celebrate diverse perspectives and experiences, knowing our people are our greatest strength. Join us and be part of a team where you can thrive, grow, and make an impact.

We offer benefits that support your health, growth, and lifestyle, so you can thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work, career development, competitive pay, and global culture perks.

Equal Opportunity Employer

We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.