Live opening · Posted 1 day ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Are you passionate about building production-ready AI applications and taking Generative AI solutions from concept to deployment?
We’re looking for a Senior AI Engineer – Full Stack with strong expertise in Python, FastAPI, GenAI, RAG, cloud technologies, and full-stack development to build scalable, secure, and intelligent enterprise applications.
Key Responsibilities
Design and develop GenAI applications, AI agents, copilots, and RAG-based solutions.
Build scalable backend services and REST APIs using Python and FastAPI.
Implement embeddings, vector search, semantic retrieval, prompt engineering, and AI evaluation.
Develop and integrate frontend applications using React and TypeScript.
Deploy and industrialize AI solutions across Microsoft Azure and/or GCP.
Implement Docker, CI/CD pipelines, monitoring, and production support practices.
Contribute to solution architecture, performance optimization, security, and technical reviews.
Required Technical Expertise
Strong hands-on experience in Python, FastAPI, and REST API development.
Proven experience with GenAI, LLMs, RAG architectures, embeddings, and vector databases.
Experience building and deploying production-grade AI applications.
Hands-on exposure to Docker, Git, CI/CD, and Azure and/or GCP.
Good understanding of microservices, SQL, and scalable application architecture.
Good to Have
React, TypeScript, and frontend integration.
AI Agents, MCP, and advanced orchestration frameworks.
PostgreSQL, BigQuery, Terraform, and Ansible.
AI observability, evaluation frameworks, and responsible AI practices.
Perks & Benefits
Competitive salary package aligned with skills and experience.
Health insurance coverage.
Positive, collaborative, and supportive work environment.
Continuous learning and professional development opportunities.
Opportunities to work on cutting-edge AI technologies and impactful enterprise projects.
A culture that encourages innovation, ownership, and knowledge sharing.
Excellent opportunities for career growth and technical advancement.
Work arrangement
No
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