Senior Python Developer

Omm IT Solutions

About

Please Note:

It is an 100% Onsite position.
Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.

Key Required Skills:

Deep Python expertise, hands-on experience integrating large language models (LLMs) into production systems, ability to operate independently in a fast-paced, highly collaborative environment.

Position Description:

Design, develop, and maintain scalable Python backend systems for a public-facing AI chatbot.
Integrate and manage LLMs, including prompt design, context management, retrieval-augmented generation (RAG), AI agents, and tool/function calling.
Ensure chatbot reliability, safety, and compliance through moderation, guardrails, and abuse prevention.
Implement monitoring, logging, and alerting to support production reliability and rapid issue resolution.
Lead code reviews and enforce best practices to maintain high engineering standards.
Contribute to CI/CD pipelines, cloud deployments, and infrastructure decisions supporting high availability.
Evaluate and adopt new AI technologies and architectural improvements to support long-term scalability.
Be proactive, adaptable, and highly engaged – communicating clearly, raising risks early, and collaborating effectively to deliver high-quality code at speed.
All other duties as assigned or directed.

Requirements Basic Qualifications:

Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
Bachelor's Degree with 7+ years of experience
Masters or Doctorate degree may substitute for required experience
10+ years of experience building, scaling, and maintaining production-grade Python applications.
Must be able to obtain and maintain a Public Trust. Contract requirement.

Required Skills:

Deep expertise building, scaling, and maintaining production-grade Python applications
Strong Python backend engineering experience including API design, asynchronous programming, and system integration.
Proficiency in managing and querying both relational databases and vector databases for semantic search.
Hands-on experience working with AI and LLMs in production environments.
Solid understanding of key AI/LLM concepts, including prompt engineering, RAG, AI agents, context management, evaluation and structured outputs.
Understanding of how to measure LLM performance using frameworks like Ragas, TruLens, or Arize Phoenix to evaluate faithfulness, relevance, and safety.
Demonstrated ability to solve complex technical problems and make sound architectural decisions in ambiguous environments.
Strong communication skills with a proven ability to be vocal, engaged, collaborative, proactive, and adaptable within cross-functional teams.

Desired Skills:

Experience with DevOps practices, including CI/CD pipelines, cloud infrastructure, containerization, monitoring, and logging.
Prior experience building or operating public-facing, high-availability, or regulated systems.
Familiarity with AI safety, moderation, and responsible AI practices.
Experience working in fast paced, "startup-like" environments.

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