Full Stack Developer – AI/ML

Jobtailor; Fairfax (VA); On-site; USD 140,000 - 170,000; Full time

Job summary

Jobtailor is seeking an experienced AI/ML/software engineer to design, develop, and deploy AI/ML solutions across the stack, including LLMs, NLP, CV, and predictive analytics. The role involves building RAG pipelines, integrating AI into enterprise systems, and creating scalable data pipelines and lakehouse architectures.

Applicants should have 4+ years in AI/ML, data engineering, or full-stack development, with strong Python/JS/Java skills, and hands-on cloud experience (AWS/Azure/GCP).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 4+ years of experience in AI/ML, data engineering, or full-stack development.
• Strong programming skills in Python, JavaScript/TypeScript, or Java.
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
• Experience building data pipelines and working with big data technologies.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue).
• Experience with LLMs, RAG architectures, and generative AI applications.
• Familiarity with Databricks, Snowflake, or lakehouse architectures.
• Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines).

Responsibilities

• Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
• Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
• Integrate AI solutions into existing enterprise systems and workflows
• Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
• Develop and maintain data lakehouse architectures
• Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
• Develop end-to-end applications, including frontend, backend, and APIs
• Create intuitive user interfaces for AI-driven applications
• Deploy applications using cloud-native architectures (AWS, Azure, GCP)
• Translate business requirements into technical architectures and working solutions
• Integrate AI and data solutions into enterprise and cloud environments
• Collaborate with cross-functional teams to deliver production-ready solutions
• Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts

Skills

Python

JavaScript/TypeScript

Java

ML frameworks

Big data

Cloud platforms

REST APIs

Frontend frameworks

LLMs

CI/CD

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Databricks

Snowflake

Docker

Kubernetes

Job description

Responsibilities

• Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
• Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
• Integrate AI solutions into existing enterprise systems and workflows
• Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
• Develop and maintain data lakehouse architectures
• Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
• Develop end-to-end applications, including frontend, backend, and APIs
• Create intuitive user interfaces for AI-driven applications
• Deploy applications using cloud-native architectures (AWS, Azure, GCP)
• Translate business requirements into technical architectures and working solutions
• Integrate AI and data solutions into enterprise and cloud environments
• Collaborate with cross-functional teams to deliver production-ready solutions
• Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• 4+ years of experience in AI/ML, data engineering, or full-stack development
• Strong programming skills in Python, JavaScript/TypeScript, or Java
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)
• Experience building data pipelines and working with big data technologies
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
• Experience with LLMs, RAG architectures, and generative AI applications
• Familiarity with Databricks, Snowflake, or lakehouse architectures
• Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)