IBM & Accenture — Entry-Level Openings
IBM & Accenture — Entry-Level Openings: Associate System Engineer & Advanced Associate Software Engineer
Two current entry-level opportunities for early-career technologists: IBM is hiring Associate System Engineers (off-campus hiring for 2025 grads) and the AASE role (Advanced Associate Software Engineer) is open for early-career AI-native engineers (0–1 years). Below are full job tables, complete role descriptions, responsibilities, qualifications.
IBM — Associate System Engineer
| Company | IBM India Private Limited |
|---|---|
| Role | Associate System Engineer |
| Job ID / Ref | 66789 |
| Qualification | Bachelor’s Degree (BE / B.Tech) — Computer Science & Information Technology related branches |
| Eligible Batch | 2025 (Year of pass out should be 2025 only) |
| Salary | Not Disclosed |
Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries to improve hybrid cloud and AI journeys. IBM encourages curiosity, experimentation and long-term career growth within a diverse and inclusive culture.
Your role and responsibilities
As a Software Developer you’ll participate in many aspects of the software development lifecycle — design, code implementation, testing and support — building software that enables clients’ hybrid-cloud and AI journeys. Primary responsibilities include:
- Analytical problem-solving and solution enhancement: Analyze, validate and propose improvements to existing failures with support of architect and technical lead.
- Comprehensive engagement across process phases: Involvement from design to release, including troubleshooting and customer service.
- Strategic stakeholder engagement and innovative coding solutions: Drive discussions with stakeholders and analyze landscape for opportunities to operate and code creative solutions.
Required education
Bachelor’s Degree (required).
Required technical & professional expertise
– Programming (preferably Java, C++, Python, Node.js).
– Software Development Life Cycle concepts.
– No active backlogs.
– Entry-level off-campus hiring: candidates must have obtained their degree before start of employment.
– Year of pass out: 2025 only.
– BE / BTech Computer Science (all CS batches and allied CS/IT branches) with 6 CGPA / 60%.
– Fluent communication skills (written & spoken).
Preferred technical & professional experience
– Engineering background and problem solving.
– Good interpersonal skills.
– Flexibility to work from anywhere in India.
About IBM Consulting & Culture
IBM Consulting delivers deep technical and industry expertise in delivery centers that help clients adopt new technologies. IBMers are growth-minded, curious and encouraged to experiment. IBM is an equal-opportunity employer and committed to inclusive hiring practices.
AASE — Advanced Associate Software Engineer (AI-native / Early Career)
| Role | Advanced Associate Software Engineer (AASE) |
|---|---|
| Experience | 0 month – 1 year 11 months |
| Batch Eligible | Any year of pass out until 2025 |
| Qualification | Bachelor’s or Master’s in Computer Science, AI, or related field |
| Salary | Not Disclosed |
Role Overview
As an early-career AI-native engineer you will help build domain-specific software platforms powered by GenAI and agentic codebases. The mission is to co-create intelligent, self-evolving systems that deliver transformational outcomes at scale.
Key Responsibilities
– Build Domain IP: contribute to SLMs and reusable agentic modules tuned to industries (banking, healthcare, supply chain).
– Engineer with purpose: develop domain-aware AI agents that perform business tasks such as document understanding and decision making.
– Architect the software of the future: design modular, self-learning, interpretable frameworks for reuse and monetization.
– AI-First development: use agentic development environments and AI-native tooling (Copilot, Claude, Gemini) to ideate, generate, test and deploy software IP.
– Collaborate: work with domain experts, cognitive architects and data scientists to embed enterprise knowledge into software.
– Reimagine workflows: re-orchestrate legacy processes into GenAI-powered experiences with automation, prediction and learning.
– Lead with data and models: curate domain datasets, fine-tune SLMs, experiment with prompt engineering and RAG to maximize accuracy and relevance.
– Operationalize innovation: integrate into production using cloud-native infrastructure, containerization and MLOps/DevOps practices.
– Document specs, maintain cloud diagrams and track development/deployment activities.
Required Skills & Qualifications
– Bachelor’s or Master’s in Computer Science, AI or related.
– Proficiency in Python, Java, Go or similar and exposure to LLM/SLM tooling.
– Awareness of transformer models, GenAI architectures and frameworks like LangChain, RAG or OpenLLM.
– Modular, product-centric thinking (building IP, not just projects).
– Exposure to agentic AI platforms/tools (CrewAI, AutoGen, AutoGPT, OpenAgents).
– Familiarity with cloud-native tech (AWS/GCP/Azure), serverless and containerization.
– Strong analytical mindset and passion for AI-driven software.
Preferred Skills
– Experience building or fine-tuning SLMs or narrow-domain models.
– Exposure to vector DBs, semantic retrieval pipelines and prompt engineering.
– Understanding of domain modeling, ontology creation and enterprise knowledge graphs.
– Knowledge of responsible AI and explainable AI practices.
– Early open-source contributions to GenAI ecosystems or agent frameworks.
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