Senior Software Engineer

We are looking for a Senior Full Stack Engineer with a strong foundation in backend development and DevOps tooling , and working knowledge of frontend technologies like React or Angular. In this role, you will build scalable APIs using Python and/or .NET , contribute to integrating AI workflows, and support deployment through modern CI/CD pipelines. You’ll also enhance frontend components as needed to connect APIs and deliver end-to-end functionality. This is a high-impact role for someone who enjoys working across the stack, with a primary focus on backend systems and infrastructure automation.

Design and implement backend APIs using Python (FastAPI or similar) and .NET (C#) where applicable

Build and extend LLM wrappers, prompt routers, and AI orchestration logic

Integrate backend services with vector databases, embedding pipelines, and RAG workflows

Manage deployments using Azure DevOps, Docker, and Kubernetes (K8s)

Configure and maintain Helm charts, environments, and containerized services

Collaborate with frontend, AI, and QA engineers to ship production-ready features

Maintain logging, observability, and API-level telemetry for AI service health

Participate in designing proof-of-concept (POC) experiments using new AI APIs or retrieval methods

Bachelor’s degree in Engineering, Computer Science, or a related technical field

5+ years of experience in backend software engineering or full stack development

Proficient with programming in Python and .NET (C#) for API development

Solid experience with RESTful API design, service integration, and microservice patterns

Exposure to React or Angular — enough to support frontend integration, make enhancements, and debug UI flows as needed

Proficient with SQL and NoSQL databases

Experienced with CI/CD pipelines, preferably using Azure DevOps

Experience deploying applications using Kubernetes (K8s), Helm, and Docker

Proficient with Git and basic DevOps/config management practices

Familiarity with vector databases (e.g., ChromaDB), embeddings, and RAG-based systems

Exposure to LLM APIs such as OpenAI, Anthropic, or Azure OpenAI

Familiarity with tracing tools, error monitoring, or rate limiting for AI infrastructure

Contributions to POCs or prototypes in AI/ML or conversational platforms

Understanding of prompt lifecycle, token limits, and performance trade-offs

Deep experience building scalable infrastructure for LLM-powered AI systems

Ownership of backend logic driving Copilot, search, and workflow-based AI interactions

Opportunity to scale RAG and vector-based systems from POC to production

A collaborative team that empowers experimentation, innovation, and technical ownership

Headquartered in Plano, Texas, Trintech has offices located across the United States, India, United Kingdom, France, Germany, Ireland, Netherlands, Norway, Sweden, Denmark, Australia, and Singapore, as well as strategic partners in South Africa, Latin America, and the Asia Pacific

At our core, Trintechers stand committed to fostering a culture rooted in our core values – Humble, Empowered, Reliable, and Open. Together, these values guide our actions, define our identity, and inspire us to continuously strive for excellence in everything we do.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability .

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.