Artificial intelligence and large language models are reshaping every industry, and companies are racing to embed these capabilities into production systems. A senior Python engineer who can bridge backend scalability with cutting‑edge LLM pipelines is in high demand right now. This role offers a chance to lead mission‑critical AI services on‑site in Woodlawn, MD, while working with top‑tier tech stacks.

Job Summary

We are seeking a Senior Python Engineer specialized in AI/LLM to design, develop, and maintain high‑performance backend services. The candidate will build RESTful APIs, implement asynchronous processing, integrate vector databases, and ensure secure authentication across the platform. Collaboration with data science teams and adherence to CI/CD best practices are essential.

Top 3 Critical Skills Table

Interview Preparation

1. Explain how you would design an asynchronous REST API that streams LLM responses.
   What the interviewer is looking for: Understanding of async frameworks (e.g., FastAPI, asyncio), streaming techniques, and handling back‑pressure.
2. Describe the steps to set up a Retrieval‑Augmented Generation pipeline using a vector database.
   What the interviewer is looking for: Knowledge of embeddings, similarity search, and integration with LLM APIs.
3. How do you secure OAuth2 flows and protect tokens in a microservices architecture?
   What the interviewer is looking for: Experience with token storage, refresh mechanisms, and TLS/SSL best practices.
4. What CI/CD strategies would you employ to ensure zero‑downtime deployments for AI services?
   What the interviewer is looking for: Familiarity with blue‑green or canary deployments, automated testing, and roll‑back procedures.
5. Walk through a performance bottleneck you encountered with PostgreSQL/MongoDB and how you resolved it.
   What the interviewer is looking for: Ability to diagnose query inefficiencies, indexing, sharding, or caching solutions.

Resume Optimization

• Senior Python Engineer
• Backend Development
• REST APIs
• Asynchronous Programming
• LLM / OpenAI / Hugging Face
• Retrieval‑Augmented Generation (RAG)
• Vector Databases
• PostgreSQL / MySQL / MongoDB
• OAuth2 / SAML / MFA
• CI/CD (Jenkins, GitHub Actions)

Application Strategy

When reaching out to the recruiter, send a concise email that greets the hiring manager, attaches your updated resume, and clearly highlights your top qualifications. Mention your proven experience with Python backend systems, LLM integration, and secure CI/CD pipelines. Reference specific projects where you delivered production‑grade AI services, and explicitly map your skills to the key requirements listed in the posting.

Career Roadmap