Accenture Recruitment 2026 Hiring Application Support Engineer

Accenture Recruitment 2026 Hiring Application Support Engineer

Accenture Recruitment 2026 is now open for the role of Application Support Engineer, offering a great opportunity for fresh graduates to kickstart their IT careers. As part of Accenture, candidates will work on real-world projects, support business applications, and gain exposure to modern technologies in a dynamic work environment. If you are eager to build skills in troubleshooting, system support, and IT services, this role is an ideal choice.

Job Details:

• Designation: Application Support Engineer
• Company: Accenture
• Educational Qualification: B.E/B.Tech/M.E/M.Tech
• Experience Required: 0 – 2 Years
• Location: Mumbai, India
• Compensation: Best in Industry

Job Description:

Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Python (Programming Language)
Good to have skills : AI & Data Solution Architecture, Generative AI
Minimum 0-2 year(s) of experience is required
Educational Qualification : 15 years full time education

Job Summary:

We are looking for a Full Stack AI & Modern Technology Engineer with strong hands-on experience in Generative AI, Agentic AI frameworks, and modern microservices-based architectures. The candidate will be responsible for designing and building RAG-based AI applications, agentic workflows, and scalable backend systems deployed on cloud platforms.
The ideal candidate should have strong programming skills, curiosity to experiment with emerging technologies, and the ability to quickly prototype innovative AI solutions.

Professional & Technical Skills:

• Candidate must have hands-on implementation experience in at least one of the following:
• RAG-based knowledge assistant
• LLM inferencing application
• Agentic AI workflow using LangChain / LangGraph
• Document ingestion and vector search pipeline
• Experience can come from industry projects, internships, research, or academic projects.

Soft Skills:

• Strong analytical and problem-solving skills
• Ability to quickly learn new technologies and frameworks
• Experimental mindset with innovation and prototyping capability
• Strong communication and documentation skills
• Ability to translate functional requirements into technical architecture
• What We Value

We are looking for engineers who:

• Are curious about emerging AI technologies
• Can rapidly prototype and demonstrate working solutions
• Are comfortable experimenting in unknown problem spaces
• Have the ability to translate AI concepts into production-grade systems

Roles & Responsibilities:

• AI/GenAI Development
• Design and develop Generative AI applications using LangChain and LangGraph frameworks.
• Build RAG (Retrieval Augmented Generation) pipelines for enterprise knowledge systems.
• Develop agentic AI workflows and orchestration pipelines using LangGraph.
• Implement LLM inferencing pipelines using open-source or enterprise models.
• Build AI pipelines for document ingestion, embedding, vector search, and response generation.
• Experiment with emerging AI standards and protocols such as MCP (Model Context Protocol).
• Backend & Microservices Development
• Develop scalable microservices using NestJS and Python.
• Design and build REST APIs with secure programming practices.
• Implement event-driven integrations using webhooks and asynchronous messaging patterns.
• Develop DAG-based workflows and data pipelines.
• Data & AI Infrastructure
• Implement vector search and semantic retrieval pipelines using:
• pgVector/ AWS OpenSearch/ Milvus
• Design and manage metadata stores using PostgreSQL / AWS RDS.
• Work with Apache Spark or distributed data processing frameworks for large-scale data pipelines.
• Cloud & Platform Engineering
• Build and deploy applications on AWS or GCP cloud platforms.
• Implement scalable AI application architectures using:
• Containerized workloads and working knowledge on dockers/ kubernetes
• AWS app services (incl. AWS Bedrock)
• Managed database services
• Work with cloud-native services for AI model hosting and orchestration.
• Security & Best Practices
• Implement secure API design based on OWASP API Security guidelines.
• Follow secure coding practices and data privacy guidelines.
• Ensure observability, logging, and error handling in production systems.
• Architecture & Design
• Translate functional requirements into technical designs and implementation plans.
• Design RAG pipelines and Agentic AI flows using LangGraph DAG-based orchestration.
• Create architecture diagrams and solution documentation using draw.io.
• Required Technical Skills
• AI & GenAI
• LangChain
• LangGraph
• RAG pipeline implementation
• LLM inferencing pipelines
• Agentic AI workflows
• Programming
• Python
• NestJS (Node.js framework)
• Databases
• Vector Databases (either of below)
• pgVector
• OpenSearch
• Milvus
• Metadata Stores:
• PostgreSQL
• AWS RDS
• APIs & Integration
• REST APIs
• Webhooks
• Secure API design
• OWASP API security standards
• Data Processing
• DAG-based workflows
• Apache Spark (basic working knowledge)
• Cloud Platforms
• AWS or GCP
• Tools
• draw.io
• Git-based development workflows
• Desired Skills
• Knowledge of LLM evaluation techniques
• Experience with embedding models and semantic search
• Experience with LLM observability and prompt engineering
• Understanding of agent orchestration patterns and multi-agent systems
• Exposure to MLOps / LLMOps practices
• Conceptual (Nice to have working) knowledge of DevOps

Additional Information:

• The candidate should have minimum 2 years of experience in Java Full Stack Development.
• B.Tech / M.Tech/ Equivalent in Computer Science, AI, Data Science, or related fields.
• Candidates who have built GenAI projects during final year, internship, or industry experience will be preferred.
• This position is based at our Mumbai office.
• A 15 years full time education is required.

Interested students can apply directly at 👉 Accenture Recruitment 2026

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