Master Python AI Developer (Remote)
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. We are committed to fostering an inclusive and professional work environment. As an equal opportunity employer, we consider all qualified applicants for employment without regard to legally protected characteristics. We offer comprehensive healthcare benefits, which will be discussed in detail prior to your first interview. Apply tot his job Apply To this Job