Qualifications

The successful candidate will have at least five years of professional experience in Python engineering, with a proven track record of developing and maintaining production backend systems. Expertise in FastAPI, REST API development, asynchronous programming in Python, and database management with PostgreSQL and SQL is essential. Candidates should demonstrate practical experience in integrating LLMs into real-world applications, rather than experimental or personal projects. Familiarity with containerization and orchestration tools such as Docker and Kubernetes/OpenShift, as well as CI/CD pipelines and testing frameworks like pytest, is required.

Additional knowledge of Azure cloud services, RAG, pgvector, Chroma, FAISS, Entra ID, OAuth/OIDC, Redis, Terraform, Prometheus, or OpenTelemetry will be advantageous. Candidates must currently hold or have recently held SC clearance, reflecting the sensitive nature of the work involved. A strong understanding of security, observability, and reliability best practices in software development is also necessary to succeed in this role.

Responsibilities

• Design, develop, and maintain Python backend services and APIs utilizing FastAPI and asynchronous programming techniques to ensure high performance and scalability.
• Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or comparable foundation models into production applications, ensuring seamless operation and security.
• Build and optimize RAG, enterprise search, and document intelligence solutions using embeddings and vector databases such as pgvector, Chroma, or FAISS.
• Develop effective prompt strategies while managing operational constraints including latency, cost, retries, and rate limits to ensure reliable AI service delivery.
• Explore agentic workflows and orchestrate LLMs using frameworks like LangChain, enhancing automation and operational efficiency.
• Collaborate with consultants and client stakeholders to understand operational problems and translate them into practical, scalable AI solutions.
• Enhance security, testing, observability, and reliability across deployed applications, adhering to best practices and compliance standards.
• Contribute to continuous improvement of existing services by refactoring, optimizing, and ensuring code quality and maintainability.

Benefits

Ncounter offers a competitive benefits package designed to support our employees' professional growth and well-being. This includes comprehensive health insurance, flexible working arrangements, and opportunities for ongoing training and certification in emerging technologies. Employees will have access to a collaborative and inclusive work environment that encourages innovation and knowledge sharing. Additionally, the company provides support for work-life balance and recognizes outstanding contributions through various recognition programs. Working on impactful projects within a forward-thinking team provides a stimulating environment for career development and personal achievement.

Equal Opportunity

Ncounter is committed to creating a diverse and inclusive workplace. We are proud to be an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other protected characteristic. We believe that a diverse team fosters innovation and enhances our ability to deliver exceptional solutions to our clients. All qualified candidates are encouraged to apply and will be considered based on merit and experience.