DN
AI FULL STACK - Remote
Diversity Nexus
🌏 Worldwide
Hybrid
2 days ago
- AI
- AI/ML
- System Design
- Databricks
- Azure AI
- Azure
- PyTorch
- GCP
- Node.js
- Next.js
- Java
- AWS
- React.js
- React Native
- CI/CD
- Python
- Pandas
- NumPy
- SQL
- scikit-learn
- TensorFlow
- Machine Learning
- Natural Language Processing
- Computer Vision
2 days ago
AI Full Stack Job Description
Technical Skillset
10+ years of AI/ML Expertise: Understanding of core AI and machine
learning concepts, models, and algorithms, demonstrated through practical
application and system design. Ability to explain complex ideas clearly and
significant focus on building and deploying production-grade AI/ML models
and systems
3+ years of LLM/Agentic AI Development Experience: Hands-on
experience building applications leveraging LLMs, LLM Workflows, Agentic AI
and deploying them into a production environment (considering aspects like
performance, cost, reliability, monitoring), Workflows and Agentic AI - LLM
Evaluation through LLM as a Judge, Platforms like Arize, etc.
Solid Engineering Fundamentals: Proven growth in software design, data
structures, algorithms, and writing clean, testable, and maintainable code
Technical Breadth:
o Familiarity and hands-on experience with relevant
technologies/frameworks like Databricks, Azure AI, Azure Transcription
Services, , RLlib (Agent Model), PyTorch(State Model), Open AI, GCP
o backend services(e.g., Node.js/Next.js/Java/Serverless),
o cloud platforms (AWS/GCP/Azure),
o front-end frameworks (e.g., React/React Native),
o CI/CD pipelines, REST/WebSocket API development, and database
technologies.
o Solid programming skills in Python, with experience in pandas,
numpy, and SQL, proficiency in frameworks such as Scikit Learn,
TensorFlow, and PyTorch
Broaden ML Domain Knowledge: Practical experience or solid knowledge in
various machine learning domains such as Natural Language Processing
(NLP), Computer Vision, Personalization & Recommendation systems, and/or
Anomaly Detection
Success Factors
Adaptability & Learning Agility: Proven ability to quickly learn new
technologies and methodologies, comfortable working on tasks requiring
exploration and tackling ambiguity
Ownership & Drive: Self-driven, takes immense pride in technical
contributions, proactively tackle problems, own features end-to-end, and find
satisfaction in building impactful solutions
Inherent Curiosity: Has a solid desire to understand how and why things
work, driving the "what” to build better, more efficient systems
AI FULL STACK - Remote · Diversity Nexus