- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Education
- Bachelor's degree in Computer Science or related field
- Resume
- Required to apply
Where you'll work
Job description
Job Overview
We are seeking a skilled AI Engineer to design, develop, and implement AI-driven applications utilizing Large Language Models (LLMs). This role involves building AI agents, Retrieval-Augmented Generation (RAG) pipelines, and automations to address complex business challenges. The position requires integration of LLMs with internal systems, APIs, databases, and third-party services, alongside creating scalable backend services and user-friendly frontends using up-to-date web frameworks.
Key Responsibilities
- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).
- Create AI agents, RAG pipelines, and automate workflows to resolve practical business issues.
- Integrate LLM solutions with internal systems, APIs, databases, and external third-party platforms.
- Develop scalable backend services and APIs to support AI-based applications.
- Build intuitive frontend interfaces leveraging modern web development frameworks.
- Optimize prompts, assess model outputs, and enhance the quality of AI responses.
- Work collaboratively with product, design, and engineering teams to quickly implement new features.
- Keep abreast of the latest trends and advancements in AI models, frameworks, and development tools.
Candidate Requirements
- Bachelor's degree in Computer Science or a closely related discipline.
- Minimum of 3 years of experience in software engineering roles.
- Proficient programming skills in Python or TypeScript.
- Experience working with contemporary frontend frameworks such as React or Next.js.
- Skilled in backend development using Node.js, Python frameworks like FastAPI, or equivalents.
- Practical experience using LLM APIs (e.g., OpenAI, Anthropic, Gemini) is essential.
- Familiarity with prompt engineering, AI agents, function calling, multi-chain processing (MCP), RAG systems, vector databases, or orchestration tools such as LangChain, LangGraph, or LlamaIndex.
- Experience working with REST APIs, SQL/NoSQL databases, version control using Git, containerization with Docker, and cloud computing platforms.
- Strong analytical and problem-solving skills suited to a dynamic startup environment.