Project Role : AI / ML Engineer

Project Role Description : 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.

Must have skills : Data Science

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 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 contemporary 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

📌 AI / ML Engineer (Secunderabad)
🏢 Accenture
📍 Secunderabad