Python Developer
Technology
TechPerm IncorporatedGwynn Oak, United States2 weeks agoUntil 6/10/2026
On-site
Job description
🚀 Now Hiring: Senior Python Developer | On-site in Woodlawn, MD
We’re looking for an experienced Python Developer to help build and scale production-grade AI and chatbot systems. This role is ideal for someone who thrives in fast-paced environments, enjoys solving complex engineering challenges, and wants to contribute to high-impact, large-scale AI initiatives.
🔑 Key Responsibilities
- Ensure chatbot reliability, safety, and compliance through strong guardrails and moderation systems.
- Implement monitoring, logging, and alerting to support production reliability.
- Conduct A/B testing to evaluate changes to prompts, models, or features.
- Lead code reviews and uphold high engineering standards.
- Support CI/CD pipelines, cloud deployments, and infrastructure decisions.
- Evaluate new AI technologies and drive architectural improvements.
- Communicate proactively, raise risks early, and collaborate effectively.
- Engage with stakeholders and incorporate user feedback.
- Design, implement, and maintain relational/NoSQL databases (PostgreSQL, MySQL, MongoDB).
- Optimize database performance, data integrity, and security.
- Manage document indexing and knowledge base updates for efficient retrieval.
- Bachelor’s in Computer Science, Engineering, Mathematics, or related field
- Master’s or Doctorate may substitute for required experience
- 10+ years building and maintaining production-grade Python applications
- Ability to obtain and maintain Public Trust Clearance
- On-site work required in Woodlawn, MD (5 days/week)
- Deep expertise with production-scale Python development
- Secure authentication experience (OAuth2, SAML, MFA)
- Strong understanding of encryption and secure data handling
- Testing frameworks experience
- Experience with relational and/or NoSQL databases
- Familiarity with automated deployment tools (Jenkins, GitHub Actions)
- Strong backend engineering experience (APIs, async programming, integrations)
- Technical documentation skills
- Experience with vector databases and semantic search
- Hands-on experience with AI/LLMs in production
- Knowledge of prompt engineering, RAG, AI agents, evaluation frameworks (Ragas, TruLens, Arize Phoenix)
- Strong communication, problem-solving, and collaboration skills
- DevOps experience (CI/CD, containers, cloud infrastructure, monitoring)
- Experience with public-facing or regulated systems
- Ability to analyze logs and user behavior for iterative improvements
- Understanding of AI safety and responsible AI practices
- Experience in fast-paced, startup-like environments
Keywords
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