Python Developer

Jobrapido is seeking an experienced GenAI/Python Developer to help create reliable, scalable Generative AI applications and intelligent agent-based solutions. This role is suited to a hands-on developer who combines strong Python engineering skills with practical experience building, integrating, and deploying modern AI systems.

About The Company

Jobrapido is a global online job search platform that helps people discover career opportunities and supports employers in reaching potential candidates. Technology and data are central to delivering relevant, accessible experiences for job seekers and businesses. At Jobrapido, you will contribute to solutions that apply emerging technologies to real-world products and operational needs, working with colleagues across engineering, AI/ML, architecture, and product teams.

About The Role

As a GenAI/Python Developer, you will design, build, and deploy production-grade Generative AI applications, retrieval systems, and intelligent agents. You will work across the solution lifecycle, from translating business requirements into technical designs to delivering services that can be monitored and improved in production. The role calls for practical expertise with Python, LangGraph, LangChain, LlamaIndex, retrieval-augmented generation (RAG), vector databases, and large language model (LLM) integrations.

You will evaluate commercial and open-source models and select suitable approaches based on quality, performance, reliability, and cost. You will also help fine-tune models, strengthen retrieval pipelines, and optimize applications for latency and scale. Success in this role requires sound engineering judgment, a focus on measurable outcomes, and the ability to collaborate effectively across technical and product disciplines.

Qualifications

We are looking for substantial hands-on experience developing production applications with Python and building backend services or APIs, ideally with FastAPI and asynchronous programming. You should have practical experience with LangGraph, LangChain, LlamaIndex, RAG architectures, vector databases, and multi-agent systems. Experience integrating and evaluating models such as OpenAI, Anthropic, Llama, and Mistral is important.

Relevant experience may also include fine-tuning or customizing models using PyTorch, TensorFlow, Hugging Face, LoRA, or QLoRA; prompt engineering; and evaluating the quality of AI-generated responses. Familiarity with LLM observability tools such as LangSmith or Langfuse, Docker, CI/CD, and deployment to AWS, Azure, or GCP is valuable. You should be comfortable diagnosing production issues, balancing technical trade-offs, and communicating clearly with cross-functional teams.

Responsibilities

Design, develop, and orchestrate Generative AI workflows using LangGraph, LangChain, and multi-agent architectures. Build and maintain RAG solutions with LlamaIndex and vector databases, developing retrieval pipelines that improve the accuracy and relevance of model responses. Integrate, compare, and select commercial and open-source LLMs to meet application requirements.

Develop scalable Python services and APIs, and fine-tune or customize models for domain-specific use cases. Apply prompt engineering and iterative evaluation to improve response quality. Optimize workflows for performance, latency, cost, reliability, and scalability. Implement monitoring and observability for LLM applications, containerize services with Docker, and support production releases through CI/CD pipelines. Deploy and maintain solutions in cloud environments, troubleshoot applications and integrations, and collaborate with engineering, AI/ML, architecture, and product teams to turn business needs into maintainable AI solutions.

Benefits

Join a technology-focused environment where you can contribute to practical AI initiatives and work with colleagues across multiple disciplines. The role offers opportunities to deepen your expertise in Generative AI, cloud deployment, and production software engineering while helping shape solutions from design through ongoing improvement. Specific compensation, benefits, and working arrangements can be discussed during the hiring process.

Equal Opportunity

Jobrapido is committed to providing equal employment opportunities. Hiring decisions are based on role-related qualifications, skills, and experience. We welcome applicants from diverse backgrounds and do not tolerate discrimination on any basis protected by applicable law.