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AI Engineer

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Before you apply
LocationNoida, UNAVAILABLE, IN
Work modehybrid
Typefull-time
SeniorityMid
Experience3–6 yrs
DepartmentTechnical/Engineering
Company size1,001–5,000 people
PostedNov 4, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Strong proficiency in Python
Experience with REST APIs and integrations
FastAPI, Flask, or similar frameworks
Strong software engineering and system design fundamentals
Hands-on experience with LangChain
Hands-on experience with LangGraph
Hands-on experience with CrewAI
Hands-on experience with AutoGen
Hands-on experience with Google ADK
Prompt Engineering
Function/Tool Calling
Agent Workflows and Memory Concepts
Building LLM-powered applications
Retrieval-Augmented Generation (RAG)
Vector Databases (Pinecone, Chroma, Weaviate, Milvus, etc.)
Semantic Search and Embeddings
Docker
Azure, AWS, or GCP
CI/CD fundamentals
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 building and delivering AI-powered applications, agents, copilots, or automation solutions in enterprise or production environments
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
Skills
Python
REST APIs
FastAPI
Flask
LangChain
LangGraph
CrewAI
AutoGen
Google ADK
Pinecone
Chroma
Weaviate
Milvus
Docker
Azure
AWS
GCP
CI/CD
Model Context Protocol (MCP)
Semantic Kernel
OpenAI Agents SDK
PydanticAI
Promptfoo
RAGAS
React
Streamlit
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work
Career development
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.
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Location: Noida [India]
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Hybrid
Responsibilities
Key Responsibilities
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Design and develop AI agents, copilots, and autonomous workflows.
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Build solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
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Develop RAG solutions, semantic search capabilities, and enterprise knowledge assistants.
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Integrate AI solutions with business applications, APIs, databases, and enterprise systems.
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Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.
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Package, deploy, and monitor AI applications in cloud environments.
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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 of 74Software, 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.