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Metasys Technologies · Hyderabad, Telangana, India

Full stack GEN AI Developer with Python and React

Hybridmid_levelcontractPosted Aug 13
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Stack mentioned

pythonreactjavaspringangularnode.jsgraphqlmicroservicesllmragazureawsci/cddockerkubernetessqlnosqlgenerative-aiapi-designprompt-engineering

Full stack GEN AI Developer with Python and React.

Hyderabad, Any Location (Hybrid)

12+ Months Contract

Role Overview

The Full Stack Developer (L3) for GenAI Application Support is responsible for end-to-end engineering support of production GenAI applications, including code-level fixes, performance optimization, and platform enhancements.

This role operates at the intersection of application, AI models, and platform engineering, ensuring stability, scalability, and continuous improvement of GenAI systems in production.

Required Skills & Qualifications

Technical Skills

- Strong Full Stack Development experience:

- Backend: Python, Java/Spring Boot

- Frontend: React, Angular, Node Js

- Expertise in API development (REST/GraphQL) and microservices

- Hands-on with GenAI concepts:

- LLMs, RAG pipelines, prompt engineering

- Experience with cloud platforms (Azure / AWS)

- Knowledge of CI/CD tools, containerization (Docker/Kubernetes)

- Strong understanding of databases (SQL & NoSQL)

GenAI & Platform Awareness

- Understanding of:

- Model lifecycle (versioning, deployment)

- Data ingestion & vector databases

- AI reliability risks (drift, hallucination, bias)

Soft Skills

- Strong problem-solving and RCA mindset

- Ability to work in high-pressure production support environments

- Effective communication and cross-team coordination

Role Positioning (GenAI Support Model)

- Level: L3 (Engineering / Developer Tier)

- Focus: “Build & Fix Core” ownership (code, architecture, enhancements)

- Interfaces with:

- L1: Triage & basic support

- L2: Technical troubleshooting

- L3: Engineering resolution (this role)

Success Metrics

- Reduction in P1/P2 incidents and repeat issues

- Improved application uptime & SLA adherence

- Faster MTTR (Mean Time to Resolution)

- Stability of GenAI outputs (quality & reliability)

- Optimization of cost & performance

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