AI / ML Engineer

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 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

Work arrangement
No