Job Overview
| Particulars | Details |
|---|---|
| Position | Senior AI Engineer (Backend & LLM Integration) |
| Company | AppSquadz |
| Location | Noida (On-site) |
| Job Type | Full-Time |
| Experience | 3 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About AppSquadz
AppSquadz is a globally recognized Web & Mobile App Development company delivering innovative digital transformation solutions across industries. With over 12 years of experience, the company specializes in building scalable web applications, mobile applications, cloud platforms, enterprise software, and AI-powered solutions.
Recognized as the AWS Rising Star Partner of the Year 2023, AppSquadz empowers businesses through modern technologies, agile development practices, and customer-centric innovation.
The company's AI Labz focuses on building enterprise-grade Artificial Intelligence solutions using Large Language Models, Cloud AI Services, Machine Learning, and intelligent automation for government organizations and enterprise customers.
🌟 Why AppSquadz?
• AWS Rising Star Partner 2023
• 12+ Years of IT Excellence
• Enterprise AI & Cloud Solutions
• Modern Agile Development Culture
• Innovation-Driven Engineering Teams
• Collaborative Work Environment
🎯 Vision
To transform digital experiences by building robust, accessible, and user-centric applications that simplify complex business challenges.
🎯 Mission
To empower businesses through customized digital solutions using the latest technologies while delivering measurable business value.
🏢 Noida Headquarters
8th Floor, Tower B,
Bhutani Alphathum,
Sector 90,
Noida, Uttar Pradesh – 201305
🏢 Hyderabad Office
Rajapushpa Summit,
ISB Road,
Financial District,
Gachibowli,
Hyderabad – 500032
🏢 Chennai Office
7th F
💡 Editor's Note / Preparation Tip
Before applying, make sure your resume clearly demonstrates production experience with Generative AI rather than simply listing AI tools. Recruiters hiring for senior AI roles typically prioritize real-world implementations, scalable architectures, and measurable business impact.
✅ Resume Checklist
• Highlight production AI or LLM projects.
• Mention RAG implementations and vector database experience.
• Include LangChain, LangGraph, CrewAI, or AI Agent development if applicable.
• Showcase FastAPI backend development experience.
• Mention AWS AI services such as Bedrock, SageMaker, or Lambda.
• Add GitHub repositories, technical blogs, or AI portfolios.
• Quantify achievements (latency reduction, model accuracy improvements, cost optimization, etc.).
🎯 Interview Preparation Topics
• Python Advanced Concepts
• FastAPI Architecture
• LLM Fundamentals
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• LangChain
• LangGraph
• CrewAI
• AI Agents
• OpenAI APIs
• Claude API
• Vector Databases
• Pinecone
• FAISS
• Embeddings
• Semantic Search
• Function Calling
• AI System Design
• Docker & Kubernetes
• AWS Bedrock
• SageMaker
• MLflow
• Scalable AI Backend Architecture
💡 Frequently Asked Interview Questions
• Explain the complete RAG architecture.
• How would you reduce hallucinations in LLM applications?
• Difference between LangChain and LangGraph?
• Explain AI Agent architecture.
• How do vector databases work?
• What embedding models have you used?
• How do you optimize LLM latency?
• Explain prompt engineering techniques.
• How would you deploy an enterprise AI application on AWS?
• Describe one production AI project you've built.
📌 Application Tips
• Highlight enterprise AI implementation experience.
• Mention production deployments instead of only prototypes.
• Include GitHub, Hugging Face, or technical portfolio links.
• Emphasize cloud deployment and backend engineering experience.
• Proofread your resume before applying.
🚀 Pro Tip
Candidates who can explain complete AI system architecture—from data ingestion, embeddings, vector storage, retrieval, prompt engineering, LLM orchestration, backend APIs, monitoring, and cloud deployment—usually stand out significantly during senior AI interviews.
📝 Job Description
🚀 AppSquadz Hiring | Senior AI Engineer (Backend & LLM Integration) | Noida | AI/ML Jobs
🏢 Company: AppSquadz
💼 Position: Senior AI Engineer (Backend & LLM Integration)
📌 Department: Artificial Intelligence / Backend Engineering
📍 Location: Noida (On-site)
🧑💻 Experience: 3+ Years
🎓 Qualification: B.E. / B.Tech / MCA / M.Tech / Computer Science, AI, Data Science or related field
⏳ Employment Type: Full-Time
📧 Application Mode: Email Application
💼 Job Details
Position: Senior AI Engineer (Backend & LLM Integration)
Location: Noida
Work Mode: On-site
Employment Type: Full-Time
Experience Required: 3+ Years
⭐ Preferred Skills
• LangChain
• LangGraph
• CrewAI
• AWS AI Services
• Docker
• Kubernetes
• MLflow
• Enterprise AI Architecture
• AI Agent Development
• Document Intelligence
🛠 Tech Stack
Programming Language
• Python
Backend
• FastAPI
Generative AI
• OpenAI
• Anthropic Claude
• Llama
• Mistral
Frameworks
• LangChain
• LangGraph
• CrewAI
Cloud
• AWS
• SageMaker
• Bedrock
• Lambda
Containerization
• Docker
• Kubernetes
Vector Databases
• Pinecone
• FAISS
• pgvector
• Weaviate
MLOps
• MLflow
🎯 What We're Looking For
• Passion for Artificial Intelligence and Generative AI
• Strong backend engineering expertise
• Experience architecting scalable AI systems
• Excellent communication and collaboration skills
• Curiosity to learn emerging AI technologies
• Ability to solve complex enterprise problems
🌟 Why Join AppSquadz?
• Build production-grade Enterprise AI platforms
• Work with the latest LLMs and Agentic AI frameworks
• Exposure to Government and Enterprise-scale AI projects
• Opportunity to work on cutting-edge cloud-native AI solutions
• Collaborative engineering culture
• Excellent learning and career growth opportunities
• Work alongside experienced AI architects and engineers
📩 How to Apply
Interested candidates can share their updated resume at:
📢 Note
Only shortlisted candidates will be contacted for the further recruitment process.
🎯 Key Responsibilities
- ✓ Design and build production-grade RAG pipelines
- ✓ Integrate enterprise applications with LLMs such as OpenAI, Claude, Bedrock, Llama, and Mistral
- ✓ Develop multi-agent AI systems using LangGraph and CrewAI
- ✓ Build AI-powered document intelligence solutions
- ✓ Develop scalable backend services using Python and FastAPI
- ✓ Deploy AI workloads on AWS using SageMaker, Bedrock, Lambda, and related services
- ✓ Work with vector databases for semantic search and retrieval
- ✓ Optimize AI pipelines for scalability, reliability, and production readiness
- ✓ Collaborate with product, engineering, and data science teams
💡 Required Qualifications & Skills
Frequently Asked Questions
Q1: Is this a remote position?
A: No, this is an on-site role based in Noida.
Q2: What is the minimum experience required?
A: 3+ years of relevant backend and AI engineering experience.
Q3: Which programming language is mandatory?
A: Python.
Q4: Which AI technologies are required?
A: LLMs, RAG, LangChain/LangGraph, Vector Databases, and Prompt Engineering.
Q5: Is AWS experience required?
A: Yes, experience with AWS AI services such as SageMaker, Bedrock, and Lambda is highly preferred.
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