Job Summary
We are looking for an AI Developer to design, develop, and implement AI-powered solutions that enhance business processes and customer experiences. The ideal candidate will have experience in machine learning, generative AI, large language models (LLMs), and software development.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions for business requirements.
- Build and integrate AI applications using LLMs such as GPT, Claude, Gemini, or similar models.
- Develop AI-powered chatbots, copilots, and automation solutions.
- Fine-tune AI models and optimize performance, accuracy, and scalability.
- Integrate AI solutions with enterprise systems, APIs, and databases.
- Develop prompt engineering strategies and retrieval-augmented generation (RAG) solutions.
- Monitor AI application performance and implement continuous improvements.
- Collaborate with business analysts, consultants, and stakeholders to identify AI opportunities.
- Prepare technical documentation and provide user support when required.
- Stay updated on the latest AI technologies, tools, and industry trends.
Requirements
- Bachelor's Degree in Computer Science, Software Engineering, AI, or related field.
- Fresh graduates with a strong interest in AI are encouraged to apply. Candidates with 1-3 years of experience in AI development, machine learning, or software development will be given preference.
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with Generative AI, LLMs, and prompt engineering.
- Proficiency in Python and experience with REST APIs.
- Familiarity with vector databases, RAG architecture, and AI orchestration frameworks (e.g., LangChain, LlamaIndex).
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Knowledge of database technologies (SQL/NoSQL).
- Strong problem-solving and analytical skills.
- Good communication skills and ability to work independently.
Preferred Skills
- Experience with Azure AI Services, Azure OpenAI, or Microsoft Copilot Studio.
- Knowledge of MLOps, model deployment, and CI/CD pipelines.
- Experience building enterprise AI solutions integrated with ERP/CRM systems.
- Understanding of data engineering and data pipelines.