AI / ML Engineer

AI / ML Engineer

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Data Science

NA

Minimum

year(s) of experience is required

15 years full time education

Full Stack Engineer – AI / Agentic Systems

Experience: 6–8 years

Location: India

Role Summary

Design, build, and ship production full-stack applications with embedded agentic AI and LLM-powered features — from modern front-ends through Python/Node back-ends — deployed on cloud infrastructure. Partner with architecture/AI leads to operationalize multi-agent workflows and retrieval-augmented features into secure, scalable, enterprise-ready products.

Key Responsibilities

Build and maintain full-stack applications (React/Next.js front-end Python or Node.js back-end) that expose agentic AI and LLM-powered features to end users

Integrate agentic AI orchestration (e.g., CrewAI or equivalent) for automated validation, evaluation, and workflow-automation use cases

Build and consume RAG pipelines — embedding generation, vector search, and context construction — to ground LLM features in enterprise data

Design and ship RESTful/microservice APIs with authentication, RBAC, and API-gateway patterns for multi-tenant enterprise products

Implement queue-based, asynchronous processing for high-concurrency workloads

Integrate real-time voice and avatar capabilities into interactive application experiences

Own data-layer design across relational and NoSQL stores — schema design, indexing, query optimization

Deploy and operate containerized applications on cloud infrastructure

Apply enterprise security practices — encryption, secrets management, SSO, audit logging

Build internal automation tooling to remove manual effort

Use AI-assisted development tooling to accelerate delivery

Contribute reusable IP and technical innovation from product work

Required Skills & Experience

6+ years professional software engineering, including full-stack delivery

Frontend: React, Next.js/Vite, HTML5/CSS3, Tailwind CSS or an equivalent component library

Backend: Python (FastAPI/Flask/Django) and/or Node.js/Express strong API design and microservices experience

Hands-on experience integrating agentic AI frameworks (e.g., CrewAI or equivalent) into production applications, including tool/function calling and multi-step orchestration

Working knowledge of prompt engineering and RAG patterns — embeddings, vector search, and context construction for LLM-backed features

Comfort working across multiple LLM providers (proprietary and open-source), selecting and integrating the right model for a given feature

Cloud & DevOps: containerization (Docker) and orchestration (Kubernetes)

Hands-on depth with Azure integration and compute services — Azure Logic Apps, Azure Function Apps, Azure AI Foundry — or equivalent AWS/GCP automation and serverless stacks

Databases: PostgreSQL plus at least one of MySQL / MongoDB / DynamoDB

Experience shipping production APIs with authentication/RBAC and multi-tenant design

Preferred

Familiarity with graph databases (e.g., Neo4j) or knowledge-graph-backed application patterns

Production deployment experience across multiple major cloud platforms (AWS, Azure, and GCP) — spanning AI/ML services, managed databases, and serverless compute

CI/CD pipeline experience (e.g., Jenkins, Azure DevOps, GitHub Actions, or equivalent)

Real-time conversational voice or avatar integration experience

Exposure to sensitive-data handling (PII/PHI detection, compliance-driven workflows)

Experience with no-code/low-code platforms (e.g., Microsoft Power Platform, Copilot Studio, or equivalent)

UI/UX familiarity (Figma)

Education

Bachelor's degree in Engineering, Computer Science, or related field (or equivalent experience) MCA/M.Tech a plus

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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