Master Python AI Developer (Remote)
Clearance Required: Active Federal Security Clearance (DHS preferred)
Location: Remote (U.S. Based)
Type: Full-Time | Long-Term Contract or Direct Hire
Ellumen is seeking a Master-level Python AI Developer to join our remote engineering team, focusing on cutting-edge AI/ML applications, backend service design, and full-stack development. This role requires deep expertise in Python and AI/ML, especially in RAG-based (Retrieval-Augmented Generation) systems, and experience deploying scalable microservices in cloud-native environments.
If you're a hands-on engineer who thrives in high-impact, production-grade environments, this is your opportunity to shape intelligent solutions that power real-world enterprise applications.
Key Responsibilities
- Develop & Deploy AI Systems: Design and implement RAG-based chatbots, intelligent summarizers, and classification tools using LangChain, GPT-4, ChromaDB, Pinecone, and HuggingFace.
- Build Production-Grade Python Microservices: Lead development of APIs and microservices using FastAPI, Flask, or Django, with deep performance optimization.
- Full Stack & Front-End Engineering: Deliver modern, responsive frontends using React.js, Redux, and TypeScript, and migrate legacy UI stacks.
- Cloud-Native Engineering: Build, deploy, and scale workloads in Azure, AWS, or GCP using Kubernetes, Docker, and Terraform.
- Data Engineering & AIOps: Implement real-time data pipelines (Prometheus, ELK Stack), and anomaly detection systems integrated with MLflow, Airflow, and Datadog.
- Search & Document Intelligence: Design ingestion pipelines and search/retrieval systems using ElasticSearch, Coveo, and vector databases.
- AI/ML Pipeline Development: Train and deploy models for NLP, anomaly detection, summarization, and classification using TensorFlow, PyTorch, and scikit-learn.
Qualifications
- 10+ years of intimate hands-on coding experience with Python (expert-level, 9 out of 10)
- Strong background in AI/ML and LLM implementation
- Demonstrated experience with RAG architecture, LangChain, and OpenAI APIs
- Familiarity with Azure AI services, including deployment of AI workloads
- Proven success in developing scalable microservices and APIs (REST/GraphQL)
- Strong verbal communication skills and the ability to pass a live Python coding challenge
- Federal clearance (active) - DHS experience is highly preferred
- BA/BS in Computer Science or related field and 10 years' relevant experience. Experience may be substituted for education.
Nice to Have
- Experience with Flask, Postgres, Alembic, and asyncio
- Advanced understanding of DevOps principles, especially in MLOps (CI/CD, containerization)
- Experience with PHP (Zend, Symfony, Laravel) and backend performance optimization
- Certification in Data Science (e.g., MIT, Coursera)
Tech Stack Snapshot
Languages: Python, Go, Java (Spring Boot), JavaScript/TypeScript, PHP, Node.js
Frameworks: Flask, FastAPI, Django, React, Redux
AI/ML: GPT-4, LangChain, HuggingFace, TensorFlow, PyTorch, scikit-learn
Cloud: Azure (preferred), AWS, GCP
DevOps: Kubernetes, Docker, Jenkins, Terraform, Airflow, MLflow
Databases: Postgres, Pinecone, ChromaDB, ElasticSearch
Tooling: OpenAI APIs, Azure AI, Prometheus, ELK Stack, Datadog
Here is your interview process
- Initial Verbal Interview - Focus on technical depth and communication
- Live Python Coding Challenge - Emphasis on problem-solving and RAG/AI knowledge
- Final Round - Architecture discussion and team fit
If you're a senior Python developer with deep AI/ML and cloud-native experience, ready to make an immediate impact, apply now to be considered.
|
Ellumen
160-190k
Aug 05, 2025