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🏢 Accenture
Application Support Engineer
💼 Fulltime
📍 Mumbai
🔗 Explore More
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🛠 Skills Required
Python
NestJS
LangChain
LangGraph
RAG pipeline
LLM inferencing
Vector databases (pgVector
OpenSearch
Milvus)
PostgreSQL
AWS or GCP
Docker
Kubernetes
REST APIs
Webhooks
OWASP API security
Apache Spark
draw.io
Git
🎤 Interview Experience
ATCI’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python coding, micro‑service design, and basic AI concepts. The final HR round assesses cultural fit and communication skills. Candidates should practice problem‑solving under time pressure and be ready to discuss any AI projects or internships.
🏢 Work Culture
ATCI promotes a collaborative, learning‑first culture where employees are encouraged to experiment with emerging technologies. The firm offers structured career ladders, regular up‑skill workshops, and a balanced work‑life environment with flexible remote options.
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📚 Free Study Materials (4)
Aptitude Questions & Answers – Essential for ATCI Online Test
Covers quantitative, logical reasoning and verbal questions that mirror ATCI's initial assessment format.
Open Resource ↗
ATCI Recruitment Process – Real Interview Experiences
First‑hand accounts of ATCI's interview rounds, useful for preparing technical and HR questions.
Open Resource ↗
PrepInsta – Comprehensive Guides for Freshers
Offers study plans, coding practice, and interview tips tailored for entry‑level engineering roles.
Open Resource ↗
LeetCode Problem Set – Practice Coding Questions
Extensive collection of coding problems to sharpen algorithmic skills required for ATCI technical interviews.
Open Resource ↗
✅ Eligibility Criteria
Minimum 15 years of full‑time education (10+2 + 4‑year degree). B.Tech / M.Tech / Equivalent in Computer Science, AI, Data Science or related streams. Minimum 0‑2 years of relevant experience. Academic performance of at least 60% aggregate in the qualifying degree. No active backlogs at the time of joining. Fresh graduates from the 2024‑2026 batch are encouraged to apply.
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🏆 Selection Process
Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (coding, AI/ML concepts, system design) → Round 3: HR interview (behavioral fit, career goals)
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🔔 Apply before 31 Jul 2026 — 39 days remaining
📋 About the Role
Accenture (referred to as ATCI in the posting) is a global professional services company that helps clients transform and innovate across industries. With a strong presence in India, Accenture combines deep industry expertise, cutting‑edge technology, and a culture of continuous learning to deliver end‑to‑end solutions for Fortune‑500 firms and emerging startups alike. The firm’s Indian operations are known for large‑scale digital projects, cloud migrations, AI‑driven products, and a collaborative work environment that encourages curiosity and up‑skilling.
The role of Application Support Engineer at ATCI is positioned at the intersection of software support, AI development, and modern cloud‑native engineering. As a junior member (0‑2 years experience), you will act as a "software detective," troubleshooting issues across critical business systems while also contributing to the design and deployment of Generative AI and Retrieval‑Augmented Generation (RAG) pipelines. The position offers exposure to both operational support and product development, making it an ideal launchpad for fresher engineers who want to blend traditional support responsibilities with next‑generation AI work.
Key Responsibilities:
1. Diagnose, troubleshoot, and resolve incidents across multi‑component business applications.
2. Design and implement Generative AI solutions using LangChain and LangGraph.
3. Build and maintain RAG pipelines for enterprise knowledge bases, including document ingestion, embedding, and vector search.
4. Develop scalable micro‑services with NestJS and Python, exposing secure REST APIs.
5. Implement event‑driven integrations via webhooks and asynchronous messaging.
6. Create and manage vector databases (pgVector, OpenSearch, or Milvus) and metadata stores (PostgreSQL/AWS RDS).
7. Deploy applications on AWS or GCP, leveraging containerisation (Docker, Kubernetes) and managed services like AWS Bedrock.
8. Ensure API security following OWASP guidelines and embed observability, logging, and error‑handling best practices.
9. Translate functional requirements into technical designs, architecture diagrams (draw.io), and documentation.
10. Participate in code reviews, CI/CD pipelines, and knowledge‑sharing sessions within the team.
Tech Stack: Python, NestJS (Node.js), LangChain, LangGraph, pgVector/OpenSearch/Milvus, PostgreSQL/AWS RDS, Apache Spark (basic), AWS/GCP, Docker, Kubernetes, draw.io, Git.
Growth Path: Starting as an Application Support Engineer, high performers can progress to Senior Engineer → AI Solutions Architect → Cloud Engineering Lead, with opportunities to specialise in Generative AI, MLOps, or Cloud Platform Engineering. Accenture’s internal learning portals, certifications, and mentorship programmes accelerate career growth.
Why Join ATCI? You will work on cutting‑edge AI projects while gaining solid support‑engineer fundamentals, all within a globally recognised brand that values innovation, diversity, and continuous up‑skilling. The Mumbai office offers a vibrant tech community, flexible work‑from‑home policies, and a clear roadmap for professional advancement.
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Apply before 31 Jul 2026 — only 39 days left
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📋 Quick Info
JOB ID
C165-J050
POSTED
-13829s ago
TYPE
Fulltime
BATCH
All Batches
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