Senior Full-Stack AI Engineer

Location: Fully Remote

Contract: Freelance

Working: Remote

Start: ASAP / To be agreed

We're supporting a global organisation that is building and scaling a new generation of internal AI-powered tools and applications .

They're looking for an experienced Senior Full-Stack AI Engineer to work across the full development lifecycle, combining solid software engineering skills with hands-on experience building AI agents and LLM-powered applications on Azure AI Foundry .

This is a hands-on engineering role where you'll design, build and deploy production-ready AI solutions across frontend, backend, data and cloud infrastructure.

Key Responsibilities

- Build and maintain end-to-end AI-powered applications and internal tools .
- Develop AI agent workflows, orchestration, prompt logic and model integrations using Azure AI Foundry .
- Build frontend interfaces using technologies such as React / Next.js and backend services using Node.js .
- Design and maintain data layers using technologies such as PostgreSQL .
- Deploy and maintain solutions across Azure , including Azure App Service and Azure AD.
- Develop automated QA and evaluation pipelines for generative AI outputs.
- Embed AI into development workflows including IDEs, CI/CD and code reviews.
- Establish coding standards,



reusable patterns and guardrails for AI-assisted development.
- Identify and mitigate risks around model performance, latency, cost, scalability and data quality.
- Produce architecture documentation, technical guides and runbooks.

We're Looking For
- 8+ years' software engineering experience , ideally with strong full-stack development experience.
- Proven experience building production-grade applications .
- Strong frontend and backend development skills, particularly React/Next.js and Node.js .
- Hands-on experience with Azure AI Foundry , including agent orchestration, model deployment and evaluation - essential .
- Strong Azure experience including App Service and Azure AD.
- Experience with LLM-based applications and AI coding tools .
- Understanding of prompt engineering, LLM limitations and AI output validation.
- Experience with MLOps, CI/CD, monitoring and model versioning .
- Experience building AI/LLM testing or evaluation frameworks.
- Strong UX/UI and product design awareness.
- Jira and Confluence experience.

Nice to have: RAG, multi-agent AI systems, prompt engineering and experience within regulated industries such as pharma, healthcare or life sciences.

📌 AI-Assisted Developer (Hyderabad)
🏢 Conexus
📍 Hyderabad