Generative AI Engineer

Role Overview

We are seeking a Generative AI Engineer with 5+ years of experience having strong analytical skills to design, build, and deploy AI-driven solutions. The ideal candidate will combine expertise in Python (FastAPI/Django), React/Angular and cloud-native microservices with hands-on experience in Generative AI systems. This role requires a balance of technical depth, architectural thinking, and clear communication to deliver scalable, production-ready AI applications.   Key Responsibilities

• Generative AI Development: Design and implement SLM, LLM-powered applications, including RAG pipelines, agentic workflows, and fine-tuned models.
• Backend Engineering: Build scalable APIs and microservices using Python (FastAPI/Django), ensuring performance and reliability.
• Frontend Engineering: Develop intuitive user interfaces with React + TypeScript for AI-driven applications.
• Cloud Deployment: Architect and deploy solutions on Azure/AWS with CI/CD pipelines, containerization, and monitoring.
• Data & Storage: Optimize SQL queries, manage Redis caching, and integrate with vector databases for AI workflows.

·       Collaboration: Partner with cross-functional teams to translate product requirements into technical solutions.

·       Communication: Clearly articulate technical decisions, trade-offs, and outcomes to both technical and non-technical stakeholders.

Must-Have Skills

·       Python (FastAPI/Django) for backend microservices

·       Building **Agentic AI **ecosystem

·       React + TypeScript/Angular for frontend development

·       REST APIs + Microservices design and scaling

·       SQL + Redis for data persistence and caching

·       Cloud (Azure/AWS) deployment and monitoring

·       Strong **solution architect mindset **with focus on scalability, maintainability, and user experience

·       Excellent Communication Skills

Good-to-Have Differentiators

·       AI/LLM/Agentic Systems (RAG, orchestration, fine-tuning)

·       Databricks / Cube.js for analytics and dashboards

·       Event-driven Architecture with Kafka or similar

·       Docker/Kubernetes for container orchestration

·       Advanced Frontend + Testing with Jest, Cypress, React Testing Library

·       AWS Bedrock

·       Certification on Gen AI

Ideal Candidate Profile

·       5+ years of experience in full-stack engineering with exposure to AI systems

·       Proven track record of shipping production-grade AI applications

·       Ability to balance hands-on coding with architectural decision-making

·       Passion for Generative AI innovation and building impactful products