PragmaEdge is hiring fresh graduates for the role of Associate Trainee โ AI Engineer in Hyderabad. The opportunity is aimed at 2026 passed-out B.Tech and MCA candidates who want to begin their careers in Artificial Intelligence, Machine Learning, Generative AI and Large Language Models.
๐ Job Details
๐ข Company: PragmaEdge
๐ผ Role: Associate Trainee โ AI Engineer
๐ Location: Hyderabad
๐ Qualification: B.Tech โ CSE, ECE, IT / MCA
๐ Passing Year: 2026
๐ผ Experience: Fresher
๐ค Domain: AI / Machine Learning / Generative AI
๐ Primary Skill: Python
๐ง Apply Through: Resume submission
๐ Subject Line: AI Engineer
๐ฉ Recruiter Email: divya.vullamparthi@pragmaedge.com
๐ข About PragmaEdge
PragmaEdge is an enterprise technology services company working across integration, automation, AI and enterprise technology solutions. Its published areas of expertise include enterprise integration, asset management, AI governance and automation, with solutions serving industries such as banking, healthcare, manufacturing, retail, transportation and telecommunications.
The company has an India presence in Hyderabad, including its Pragma Towers location in Madhapur, and also lists Bengaluru among its India locations.
For a fresher, an AI-focused trainee position can provide an opportunity to build practical knowledge while working around technologies that are increasingly being incorporated into enterprise software and automation.
๐ค What Will You Work On?
The hiring requirement is centered on Python, AI, Generative AI, Machine Learning, LLMs and AI application development. Candidates should expect the role to involve learning and contributing to AI-oriented solutions rather than focusing exclusively on traditional software development.
Potential areas include:
๐น Python programming and object-oriented programming
๐น Machine learning fundamentals and model concepts
๐น Generative AI and LLM fundamentals
๐น Working with LLM tools and APIs
๐น Retrieval-Augmented Generation (RAG) basics
๐น Developing AI applications using Python frameworks
๐น Building APIs using Flask or FastAPI
๐น Understanding Django fundamentals
๐น Testing and debugging AI-related applications
๐น Working with data and preparing it for AI/ML workflows
๐ Why This Role Is Good for Freshers?
This role can help a graduate move from academic AI knowledge toward practical engineering. Instead of learning machine learning only through coursework, candidates can potentially gain exposure to Python development, AI applications, LLMs, RAG and backend frameworks.
The combination of AI and backend technologies is particularly useful because modern AI applications often require more than model knowledge. Developers also need to understand APIs, data processing, application architecture, testing and deployment.
For CSE, IT and ECE graduates who have built AI/ML projects during college, this position can also provide a way to demonstrate that knowledge in a professional environment.
๐ง Skills Required
Candidates should prepare the following skill areas:
๐ Python: Syntax, functions, collections, exception handling, modules and file handling
๐งฑ OOP: Classes, inheritance, polymorphism, abstraction and encapsulation
๐ค Machine Learning: Supervised vs. unsupervised learning, regression, classification, clustering and model evaluation
โจ Generative AI: LLM fundamentals, prompting, tokens, embeddings and inference concepts
๐ LLMs: Basic understanding of how LLM applications are developed
๐ RAG: Documents โ chunking โ embeddings โ vector search โ retrieval โ generation
๐ Backend: Flask, FastAPI and basic Django concepts
๐๏ธ Data: NumPy, Pandas and basic SQL knowledge
๐ง Development: Git, REST APIs, JSON and debugging
๐งช Problem Solving: Logical thinking and ability to explain project decisions clearly
๐ฏ Preparation Tips
Don’t prepare only theoretical AI definitions. Build one small end-to-end RAG project before the interview. For example, create a Python application that accepts PDF documents, generates embeddings, retrieves relevant information and uses an LLM to produce an answer.
Also revise Python coding thoroughly. Practice dictionaries, lists, strings, functions, classes, file handling and API calls.
For ML, concentrate on understanding why a particular algorithm is selected, how training/testing works and how metrics such as accuracy, precision, recall and F1-score are interpreted.
For Flask/FastAPI, build a simple REST API and understand HTTP methods, request/response handling and JSON. Candidates should also be able to explain their college AI projects from architecture to implementation.
๐ Resume Tips for This AI Engineer Role
Keep Python and AI/ML skills near the top of the resume. Don’t simply write “Artificial Intelligence” or “Generative AI”; mention the actual technologies and projects you have used.
Your project section should contain at least 1โ2 technically meaningful projects. A strong project description could mention Python + LLM + RAG + vector database + API, if those technologies were genuinely used.
Use measurable or technical details wherever possible. Explain what you built, what problem it solved and your contribution.
For example: “Built a Python-based RAG application that retrieves relevant document chunks and generates context-aware answers using an LLM API.”
Also mention Git, REST APIs, SQL, Pandas and backend frameworks if you have hands-on experience.
๐ฐ Salary Range
The job post provided does not specify compensation. A 2026 PragmaEdge Associate Trainee campus-hiring notice reported โน4 LPA for Associate Trainee profiles, although compensation can vary by hiring drive and role. Treat โน4 LPA as a reported reference rather than a confirmed salary for this specific AI Engineer opening.
๐งโ๐ป Expected Interview Rounds
A 2026 Associate Trainee hiring notice for PragmaEdge lists five stages: Online GD, Technical Round 1, Technical Round 2, Personality Test and HR Round.
For this AI Engineer position, candidates should therefore be prepared for:
๐น Online GD: Communication, logical thinking and discussion skills
๐น Technical Round 1: Python, programming fundamentals, OOP and basic CS concepts
๐น Technical Round 2: AI/ML, LLMs, RAG, projects and backend concepts
๐น Personality Round: Communication, learning attitude and workplace scenarios
๐น HR Round: Education, career goals, location, availability and role expectations
The exact process can vary for this particular recruitment drive.
๐ฉ How to Apply?
Eligible 2026 B.Tech CSE/ECE/IT and MCA freshers can share their updated resume for consideration.
๐ง Email: divya.vullamparthi@pragmaedge.com
๐ Subject: AI Engineer
Before applying, make sure your resume clearly highlights Python, AI/ML, Generative AI, LLM, RAG and relevant projects. For a fresher role like this, demonstrating practical project knowledge can help you explain your technical skills confidently during the interview.
