Senior Full Stack Engineer

Job Description

Company: Trintech Website: Visit Website Business Type: Enterprise Company Type: Product Business Model: B2B Funding Stage: IPO/Public Industry: Fintech Salary Range: ? 15-23 Lacs PA Summary Job Description: 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-js or Angular-js. 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. What You'll Do 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 Who You Are 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 Nice to Have 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 What You?ll Learn & Gain 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 This role presents an exciting opportunity to design and deliver the backend foundation for AI-enhanced enterprise platforms. If you're driven to combine engineering precision with AI innovation, we encourage you to apply.