AI FULL STACK - Remote

Location

Remote ( CENTRAL/ EAST COAST)

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