
- Work model
- Not specified
- Experience
- 3+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 21 tags
Technology context
21Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
Requirements
- 3+ years of professional experience in Python development, including building and maintaining APIs and backend services;
- Proven expertise in developing user-centric features such as account management systems and forms;
- Strong knowledge of FastAPI, RESTful APIs, and microservices architecture;
- Hands-on experience with LLMs, Generative AI, and frameworks like LangChain and LlamaIndex;
- Proficiency in source control (Git), CI/CD pipelines, and modern development workflows;
- Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes);
- Background in developing AI-based solutions for communication, audio/video streaming, or chatbots;
- Ability to participate in business analysis and lead product discovery efforts.
Will be a plus
- Experience with cloud platforms for deploying AI solutions;
- Knowledge of prompt engineering and fine-tuning LLMs;
- Proficiency in SQL and working with structured datasets;
- Familiarity with openai API, RAG (retrieval-augmented generation), and AI workflows.
Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python and FastAPI;
- Integrate and optimize Generative AI frameworks such as LangChain, GPT, and others to build AI-powered solutions;
- Build user-centric features, including account management systems, forms, and intuitive interfaces;
- Develop and deploy containerized applications using Docker and manage orchestration with Kubernetes;
- Collaborate with stakeholders to lead business analysis and define product requirements;
- Ensure seamless integration of AI models for communication, audio/video streaming, and chatbot solutions;
- Optimize CI/CD pipelines for streamlined development and deployment;
- Contribute to prompt engineering and support in fine-tuning LLMs to meet project goals.