AI Developer

ROLES AND RESPONSIBILITIES : AI Development & Integration
Design, develop, and deploy AI-powered applications and automation workflows using tools like OpenAI, Claude (Anthropic), Gemini, and other LLM APIs.
Build and integrate AI chatbots, virtual assistants, and conversational agents for client websites and internal tools.
Develop custom AI web applications using frameworks such as React, Next.js, or Python (FastAPI/Flask) with AI backend integrations.
Stay updated with the latest AI models, APIs, and developer tools and evaluate their relevance for client and agency use cases. Prompt Engineering & LLM Optimization
Design and optimize system prompts, few-shot examples, and chain-of-thought structures for various client use cases.
Test, evaluate, and iterate on prompt strategies to improve accuracy, tone, and performance of AI outputs.
Build reusable prompt libraries and internal knowledge bases for AI solutions across projects. Automation & Workflow Building
Build end-to-end automation workflows using tools like n8n, Make (Integromat), or Zapier integrated with AI services.
Automate repetitive client and agency processes using AI, including reporting, content generation, lead qualification, and data extraction.
Identify automation opportunities across client workflows and propose AI-powered solutions with measurable business impact. Client-Facing AI Solutions
Collaborate with project managers and clients to understand requirements and translate them into AI product specifications.
Deliver AI-powered tools such as lead gen bots, AI content systems, AI customer support, and custom GPT solutions for clients.
Document AI solutions and provide basic training and handover to clients or internal teams.
Ensure all AI solutions meet client expectations for quality, accuracy, and performance before delivery. Reporting & Continuous Learning
Stay updated with the latest AI tools, models, and APIs and recommend adoption where relevant for the agency and its clients.
Prepare project update reports and communicate progress to internal stakeholders on a regular basis.
Participate in internal knowledge sharing sessions and contribute to the agency’s AI capability building.

Work arrangement
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