Duties and Responsibilities

• To participate in the analysis, design, development, testing, deployment and maintenance of Artificial Intelligence applications, including their integration with web and mobile interfaces;
• To develop backend scripts, AI execution pipelines, RESTful APIs, asynchronous services and data-processing workflows using Python, TypeScript or JavaScript;
• To configure, deploy, integrate and maintain locally hosted Large Language Models using platforms such as Ollama, LM Studio, vLLM or LocalAI, as well as cloud-based LLM APIs such as OpenAI, Gemini, Anthropic or equivalent platforms;
• To design effective prompts and implement structured AI outputs using JSON schemas, function calling, tool use and related techniques;
• To develop agentic AI workflows and Retrieval-Augmented Generation solutions using multi-step execution, text embeddings, vector similarity search and vector databases; and
• To use Git-based repositories and deployment pipelines for source-code management, collaboration and software delivery, prepare and maintain technical documentation, and perform any other official duties as may be assigned by the supervisor.

Qualifications

Holder of a Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or another related technical field from a recognized higher learning institution. The candidate should possess practical project experience or a demonstrable technical portfolio and have: · Strong proficiency in Python, TypeScript or JavaScript for backend scripting, AI execution pipelines, RESTful API integration, JSON data handling and asynchronous programming, together with proficiency in Git, GitHub or GitLab for version control, collaboration and deployment pipelines. · Practical experience in deploying or configuring locally hosted Large Language Models using Ollama, LM Studio, vLLM, LocalAI or equivalent platforms, or experience with cloud-based LLM APIs such as OpenAI, Gemini or Anthropic, with readiness to work in self-hosted environments; including prompt engineering, structured outputs, JSON schemas, function calling and tool use. · Knowledge or practical exposure to agentic AI workflows, multi-step execution, LangChain, LlamaIndex or AutoGPT, as well as embeddings, vector similarity search, vector databases such as Chroma, Qdrant or Pinecone, Retrieval-Augmented Generation, and basic integration of AI services with Angular, React or Flutter applications.

• To participate in the analysis, design, development, testing, deployment and maintenance of Artificial Intelligence applications, including their integration with web and mobile interfaces;
• To develop backend scripts, AI execution pipelines, RESTful APIs, asynchronous services and data-processing workflows using Python, TypeScript or JavaScript;
• To configure, deploy, integrate and maintain locally hosted Large Language Models using platforms such as Ollama, LM Studio, vLLM or LocalAI, as well as cloud-based LLM APIs such as OpenAI, Gemini, Anthropic or equivalent platforms;
• To design effective prompts and implement structured AI outputs using JSON schemas, function calling, tool use and related techniques;
• To develop agentic AI workflows and Retrieval-Augmented Generation solutions using multi-step execution, text embeddings, vector similarity search and vector databases;
• To use Git-based repositories and deployment pipelines for source-code management, collaboration and software delivery, prepare and maintain technical documentation, and perform any other official duties as may be assigned by the supervisor.

• Python
• TypeScript
• JavaScript
• Git, GitHub or GitLab
• Ollama, LM Studio, vLLM, LocalAI or equivalent platforms
• OpenAI, Gemini or Anthropic APIs
• Prompt engineering
• JSON schemas
• Function calling
• Tool use
• Agentic AI workflows
• Retrieval-Augmented Generation
• Text embeddings
• Vector similarity search
• Vector databases (Chroma, Qdrant, Pinecone)
• LangChain, LlamaIndex or AutoGPT
• Angular, React or Flutter integration

• Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or another related technical field from a recognized higher learning institution.
• Practical project experience or a demonstrable technical portfolio.
• Strong proficiency in Python, TypeScript or JavaScript for backend scripting, AI execution pipelines, RESTful API integration, JSON data handling and asynchronous programming.
• Proficiency in Git, GitHub or GitLab for version control, collaboration and deployment pipelines.
• Practical experience in deploying or configuring locally hosted Large Language Models using Ollama, LM Studio, vLLM, LocalAI or equivalent platforms, or experience with cloud-based LLM APIs such as OpenAI, Gemini or Anthropic, with readiness to work in self-hosted environments.
• Experience with prompt engineering, structured outputs, JSON schemas, function calling and tool use.
• Knowledge or practical exposure to agentic AI workflows, multi-step execution, LangChain, LlamaIndex or AutoGPT.
• Knowledge or practical exposure to embeddings, vector similarity search, vector databases such as Chroma, Qdrant or Pinecone, Retrieval-Augmented Generation.
• Basic integration of AI services with Angular, React or Flutter applications.