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 2 year(s) of experience is required

Educational Qualification: 15 years full time education

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.

Roles & Responsibilities:

• AI/GenAI Development
• Design and develop Generative AI applications using Lang Chain and Lang Graph frameworks.
• Build RAG (Retrieval Augmented Generation) pipelines for enterprise knowledge systems.
• Develop agentic AI workflows and orchestration pipelines using Lang Graph.
• 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:
• pg Vector/ AWS Open Search/ 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 Lang Graph DAG-based orchestration.
• Create architecture diagrams and solution documentation using draw.io.

Required Technical Skills:

• AI & GenAI
• Lang Chain
• Lang Graph
• RAG pipeline implementation
• LLM inferencing pipelines
• Agentic AI workflows
• Programming
• Python
• NestJS (Node.js framework)
• Databases
• Vector Databases (either of below)
  • pg Vector
  • Open Search
  • 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

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 Lang Chain / Lang Graph
• 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

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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

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