Artificial Intelligence is transforming every industry, and organizations are actively searching for professionals who can build intelligent applications powered by Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and cloud-based AI platforms. If you’re passionate about AI, Python, automation, and solving real-world business challenges, then this opportunity from GeakMinds, Inc. could be the perfect start or next step in your career.
GeakMinds is currently looking for talented AI Engineers to work on next-generation AI applications built using Azure AI, OpenAI, FastAPI, LLMs, vector databases, AI agents, and enterprise AI solutions. Whether you’re a fresher with strong technical fundamentals or an early-career professional with up to one year of experience, this role offers an excellent opportunity to work on cutting-edge technologies that are shaping the future of software engineering.
If you enjoy learning emerging technologies, building AI-powered applications, experimenting with prompt engineering, and collaborating with experienced engineers, this opening deserves your attention.
π Position Details
π’ Position: AI Engineer
π Job ID: Not Mentioned
π Location: India
πΌ Experience Required: 0β1 Year
π Qualification: Bachelor’s Degree in Computer Science, AI, IT, Engineering or Related Field
β‘ Employment Type: Full-Time
π€ Domain: Artificial Intelligence | Machine Learning | Generative AI
π Skills Required
β
Python Programming
β
FastAPI
β
REST API Development
β
Azure AI
β
Azure OpenAI
β
Large Language Models (LLMs)
β
Prompt Engineering
β
Retrieval-Augmented Generation (RAG)
β
Embeddings
β
AI Agent Development
β
LangGraph
β
MAF Framework (Preferred)
β
Ollama
β
Llama.cpp
β
Azure AI Search
β
Milvus
β
Qdrant
β
Docker
β
MLOps Basics
β
Responsible AI Concepts
β
Problem Solving
β
Communication Skills
π Position Overview
GeakMinds is expanding its Artificial Intelligence practice and is looking for passionate engineers who are excited about building enterprise-grade AI applications. The selected candidates will contribute to developing Generative AI solutions, implementing intelligent AI agents, designing Retrieval-Augmented Generation pipelines, integrating AI with enterprise APIs, and working closely with cloud-native Azure AI services. This role offers exposure to modern AI engineering practices while working alongside experienced professionals on real-world client projects.
π Key Responsibilities
πΉ Develop AI-powered applications using Azure AI and Azure OpenAI services.
πΉ Build enterprise-grade Large Language Model (LLM) applications.
πΉ Design Retrieval-Augmented Generation (RAG) pipelines.
πΉ Implement prompt engineering strategies for optimal AI responses.
πΉ Develop AI Agents capable of solving business problems.
πΉ Integrate AI services with enterprise APIs.
πΉ Build conversational AI and intelligent chatbot solutions.
πΉ Prepare and manage datasets for AI applications.
πΉ Work with vector databases including Milvus, Qdrant, and Azure AI Search.
πΉ Deploy AI applications using Docker containers.
πΉ Follow responsible AI and security best practices.
πΉ Collaborate with software developers, data engineers, and solution architects.
πΉ Optimize AI model performance and response quality.
πΉ Participate in code reviews and technical discussions.
πΉ Stay updated with the latest AI innovations.
π’ About the Company
GeakMinds, Inc. is a technology-driven organization specializing in Digital Engineering, Data Analytics, Artificial Intelligence, Cloud Solutions, and Enterprise Transformation. The company partners with businesses across industries to build innovative technology solutions that improve productivity, automate processes, and accelerate digital transformation.
With increasing investments in Generative AI and enterprise AI adoption, GeakMinds is building teams capable of delivering modern AI platforms powered by Azure AI, OpenAI technologies, and intelligent automation. Employees get opportunities to work on real-world enterprise projects while continuously learning emerging technologies.
π Why This Role is Good for Freshers
π Direct exposure to cutting-edge AI technologies.
π Opportunity to learn Generative AI from experienced engineers.
π€ Work on real enterprise AI applications instead of academic projects.
β Gain practical Azure AI and cloud experience.
πΌ Build industry-relevant AI engineering skills.
π Excellent long-term career growth.
π§ Learn prompt engineering and LLM optimization.
π Exposure to AI agent development.
π― Hands-on experience with RAG architecture.
π€ Collaborative and mentorship-driven work environment.
π― Expected Interview Rounds
Round 1 β Resume Screening
β’ Profile evaluation
β’ Academic background
β’ Relevant projects
Round 2 β Technical Assessment
β’ Python fundamentals
β’ API development
β’ Problem-solving
β’ AI concepts
Round 3 β AI Technical Interview
β’ LLM concepts
β’ Prompt engineering
β’ RAG architecture
β’ Vector databases
β’ Azure AI basics
β’ Docker fundamentals
Round 4 β Managerial Discussion
β’ Communication skills
β’ Project understanding
β’ Learning mindset
β’ Team collaboration
Round 5 β HR Discussion
β’ Salary discussion
β’ Notice period
β’ Offer process
β’ Documentation
π° Expected Salary Range
Actual compensation depends on skills, interview performance, project experience, and company policies.
π Preparation Tips
β
Strengthen Python fundamentals.
β
Practice FastAPI development.
β
Build a small RAG application.
β
Learn Prompt Engineering techniques.
β
Understand embeddings and vector databases.
β
Practice REST API development.
β
Learn Azure AI fundamentals.
β
Explore OpenAI APIs.
β
Study Docker basics.
β
Read about LangGraph and AI Agents.
β
Build GitHub AI projects.
β
Practice explaining AI concepts clearly.
π Resume Tips
β
Highlight AI, ML, and Python projects.
β
Include GitHub repository links.
β
Mention FastAPI experience.
β
Showcase Generative AI projects.
β
Add certifications related to AI and Azure.
β
Mention internships clearly.
β
Keep the resume within one or two pages.
β
Quantify achievements wherever possible.
β
Include technical skills in a dedicated section.
β
Proofread thoroughly before applying.
β Frequently Asked Questions (FAQs)
Q1. Can freshers apply?
Yes. Candidates with strong AI and Python fundamentals are encouraged to apply.
Q2. Is previous AI experience mandatory?
No. Relevant academic projects, internships, or self-learning can strengthen your profile.
Q3. Which programming language is most important?
Python is the primary programming language for this role.
Q4. Is Azure knowledge mandatory?
Basic understanding is helpful, but willingness to learn is equally valuable.
Q5. Should I know Machine Learning?
Basic ML concepts are beneficial but the focus is on Generative AI and LLM applications.
Q6. Are certifications helpful?
Yes. Certifications in Azure AI, Python, AI, or Machine Learning can improve your chances.
π Career Growth Opportunities
Joining GeakMinds can open career paths such as:
β‘ AI Engineer
β‘ Generative AI Engineer
β‘ Machine Learning Engineer
β‘ AI Solution Developer
β‘ Prompt Engineer
β‘ LLM Engineer
β‘ AI Platform Engineer
β‘ AI Architect
β‘ Cloud AI Engineer
β‘ Enterprise AI Consultant
π© How to Apply
π§ Send your updated resume to:
durgashree.d@geakminds.com
π Email Subject Suggestion:
Application for AI Engineer β Fresher / 0β1 Year Experience
π If this opportunity matches your career goals, don’t forget to share it with your friends, classmates, and fellow AI enthusiasts.
