Zeta Corp
Senior Fullstack AI Developer
Skills
5 days ago
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Important information
Contract type:
Permanent
Location:
Karachi, Karachi City, Sindh, Pakistan
Work mode:
Onsite
Published on:
16 October 2026
What they need
Zeta Corp are looking for a Senior Full Stack AI Engineer for one of our client which belong to AI industry an ideal candidate has to design, develop, and deploy production-grade AI applications. The ideal candidate will have hands-on experience with LLMs, RAG pipelines, full-stack development, cloud infrastructure, and scalable backend systems. You will work closely with a US-based CTO to build secure, high-performance AI products in the healthcare domain.
Key Responsibilities
Develop and maintain production LLM applications, including RAG pipelines, prompt engineering, structured outputs, and evaluation frameworks.
Build AI-powered document processing solutions using OCR and LLMs.
Develop responsive web applications and dashboards using React/Next.js.
Design scalable backend services using Python (FastAPI) and Node.js/TypeScript.
Integrate third-party APIs using OAuth 2.0 and work with cloud platforms (AWS/Azure/GCP).
Implement CI/CD pipelines, Docker, Infrastructure as Code (Terraform), monitoring, and security best practices.
Collaborate on architecture, code reviews, and technical decision-making.
Required Skills
4+ years of software engineering experience.
2+ years of production experience with LLMs and RAG applications.
Strong expertise in Python (FastAPI), TypeScript/Node.js, React, and Next.js.
Experience with PostgreSQL, REST APIs, Docker, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Hands-on experience with OAuth 2.0 integrations and modern software architecture.
Excellent communication skills and ability to work with international stakeholders.
Preferred Skills
Experience in Healthcare/HealthTech or HIPAA-compliant environments.
Pay: Rs350,000.00 - Rs450,000.00 per month
Application Question(s):
- Do you have expereince in HIPAA Complaince
- What is your expected salary
Experience:
- Python: 3 years (Preferred)
- Fast API: 2 years (Preferred)
Work Location: In person
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