
Expert AI Developer
5 days ago
AI Expert Wanted
">">We are seeking an experienced AI Developer to join our team. The ideal candidate will have 4-6 years of hands-on experience in software development with a strong focus on AI/ML application development.
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- Demonstrable experience integrating and utilizing external LLM APIs, such as OpenAI, Anthropic, or Google, in applications is required.">
- Strong Python programming skills and practical experience building and deploying RESTful APIs using FastAPI are essential.">
- A deep understanding of Machine Learning concepts, including RAG and vector databases, is necessary for success in this role.">
- Experience working effectively in an agile environment and a willingness to adapt to future work involving deeper LLM customization and deployment are also required.">
Required Skills & Qualifications
">">- ">
- 4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.">
- Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications.">
- Proven experience with Prompt Engineering techniques.">
- Strong Python programming skills.">
- Practical experience building and deploying RESTful APIs using FastAPI.">
- Experience designing and implementing application logic for AI-driven features or agents.">
- Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).">
- Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.">
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.">
- Solid problem-solving skills and clear communication abilities.">
- Experience working effectively in an agile environment.">
- Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.">
- Bachelor's or Master's degree in Computer Science, AI, or a related field.">
- Ability to work independently and collaborate effectively in a remote setting.">
Benefits
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- Opportunity to work on cutting-edge AI projects and develop expertise in LLMs.">
- Collaborative and dynamic work environment.">
- Ongoing training and professional development opportunities.">
- Competitive compensation package.">
Others
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- Preference will be given to candidates with experience with frameworks like LangChain or LlamaIndex.">
- Experience with observability and debugging tools for LLM applications, such as LangSmith, is a plus.">
- Knowledge of AI security considerations and bias mitigation is highly valued.">
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