Full stack AI Engineer

Job Title: Full stack Ai Engineer

Location: Remote

Employment Type: Contract

Level: Mid-level (4-6 Years)

Visa: Visa Independent -USC/Diversified candidate prefered***

Eduction: Bachelor's degree or higher from an accredited college, university, or recognized educational institution of US.

Strong academic background from a reputable institution is preferred.

For Interview:

• Strong technical competency relevant to the role is mandatory.
• Excellent verbal and written communication skills are required.
• Candidates should be able to effectively articulate technical concepts, participate in client-facing discussions, and demonstrate professional communication throughout the interview process.
• Successful completion of both technical and communication assessments/interviews is required.

Required Qualifications

Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field or equivalent practical experience.

4 + years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production.

Strong proficiency in Python and core ML libraries (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).

Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, or open-source models).

Practical RAG and embeddings experience, including at least one production vector store.

Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals.

Solid command of Git, branching strategies, and pull-request-based code review.

Hands-on experience building and operating CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production workloads.

Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker).

Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders.

Proven ability to thrive in a fully remote, globally distributed team.