Software Engineer

GeekSoft Consulting

14h•Onsite

About The Position

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.

Requirements

Strong software development fundamentals with hands-on backend development experience in Node.js, JavaScript, and/or TypeScript.
Strong experience developing and consuming REST APIs.
Strong understanding of API authentication and authorization mechanisms, including OAuth, JWT, and API keys.
Experience with databases such as PostgreSQL, MySQL, MongoDB, or similar.
Experience with Git, software development workflows, application architecture, error handling, logging, and debugging.
Basic understanding or hands-on exposure to Generative AI concepts.
Large Language Models (LLMs) and Prompt Engineering
Retrieval-Augmented Generation (RAG), Embeddings, and Vector Databases
Model Context Protocol (MCP) and AI tool calling
AI agents and agent workflows
Integration with LLM APIs such as OpenAI, Gemini, Claude, and Azure OpenAI

Nice To Haves

Advanced machine learning or data science experience is not required.
Experience with TypeScript and Angular or another modern JavaScript frontend framework.
Experience with Express.js, NestJS, or similar Node.js frameworks.
Experience with Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.
Experience with AI frameworks such as LangChain, LangGraph, or Semantic Kernel.
Experience with vector databases such as Pinecone, pgvector, or Chroma.
Experience building applications that integrate with enterprise AI services.

Responsibilities

Design, develop, and maintain scalable backend services using Node.js.
Build and maintain REST APIs and backend integrations connecting internal and external applications.
Develop clean, reusable, and maintainable backend components using relational and/or NoSQL databases.
Implement authentication, authorization, logging, error handling, and API security.
Collaborate with frontend developers working with Angular or similar frameworks.
Integrate applications with LLM and Generative AI APIs.
Support the development of RAG-based applications using enterprise data and documents.
Work with Model Context Protocol (MCP) servers, tools, and custom integrations.
Support the development of AI agents and agent-based workflows.
Write unit and integration tests, participate in code reviews, and troubleshoot application/API issues.
Participate in application deployment and CI/CD processes.