Position Overview
We are seeking a highly skilled and experienced AI Engineer to join our innovative team. The ideal candidate will have a strong software engineering background combined with hands-on experience delivering production-level AI solutions. This role focuses on OCR, LLM prompt engineering, model fine-tuning, and backend integration for scalable AI applications.
You will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that solve real-world problems.
Key Responsibilities
- Design, develop, and deploy AI-driven solutions for production environments
- Implement and optimize OCR systems for structured and unstructured documents
- Develop and refine prompts for LLM-based applications to ensure accuracy and efficiency
- Fine-tune models to improve performance, including transformer-based architectures
- Integrate AI components seamlessly into backend systems and microservices
- Collaborate with product, engineering, and data teams to deliver scalable AI products
- Maintain and monitor AI models, ensuring reliability, observability, and performance
Technical Requirements
Programming & Software Engineering
- Strong proficiency in Python (advanced level)
- Experience building production-grade applications and scalable systems
- Familiarity with asynchronous programming and performance optimization
Artificial Intelligence & Machine Learning
- Minimum 3 years of hands-on AI/ML implementation experience
- Practical experience deploying AI models in production
- Strong understanding of:
- Supervised and unsupervised learning
- Model evaluation metrics and performance tuning
- Data preprocessing and feature engineering
- Experience with ML/AI frameworks:
- PyTorch, TensorFlow, OpenAI APIs or other AI systems
Prompt Engineering & LLM Optimization
- Advanced experience designing and optimizing prompts for LLMs
- Familiarity with:
- Prompt chaining and system prompt structuring
- Context window management and token optimization
- Reducing hallucinations and improving output accuracy
- Experience implementing Retrieval-Augmented Generation (RAG) architectures
OCR & Document Intelligence
- Hands-on experience with OCR tools (e.g., Tesseract, AWS Textract, Azure OCR, Google Vision)
- Expertise in document parsing, layout detection, and data extraction pipelines
- Experience integrating OCR outputs into downstream AI workflows
Model Fine-Tuning & Optimization
- Experience fine-tuning LLMs
- Understanding trade-offs between latency and accuracy
Backend & System Integration
- Experience integrating AI models into backend systems
- Strong knowledge of:
- Microservices architecture
- API orchestration and event-driven systems
- Familiarity with cloud platforms (AWS, Azure,)
Required Experience
- Minimum 5 years of professional software development experience
- Minimum 3 years of hands-on experience in AI / ML projects
- Proven experience delivering AI solutions in production environments
Preferred Qualifications
- Experience with cloud-native deployments
- Strong understanding of system architecture and performance optimization
- Ability to work independently and lead AI initiatives
- Experience mentoring junior engineers or AI practitioners
What We Offer
- Competitive compensation and benefits
- Opportunity to work on cutting-edge AI technologies
- High-impact role in a fast-growing, innovative environment
- Professional growth and leadership opportunities
We are seeking a highly skilled and experienced AI Engineer to join our innovative team. The ideal candidate will have a strong software engineering background combined with hands-on experience delivering production-level AI solutions. This role focuses on OCR, LLM prompt engineering, model fine-tuning, and backend integration for scalable AI applications.
You will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that solve real-world problems.
Key Responsibilities
- Design, develop, and deploy AI-driven solutions for production environments
- Implement and optimize OCR systems for structured and unstructured documents
- Develop and refine prompts for LLM-based applications to ensure accuracy and efficiency
- Fine-tune models to improve performance, including transformer-based architectures
- Integrate AI components seamlessly into backend systems and microservices
- Collaborate with product, engineering, and data teams to deliver scalable AI products
- Maintain and monitor AI models, ensuring reliability, observability, and performance
Technical Requirements
Programming & Software Engineering
- Strong proficiency in Python (advanced level)
- Experience building production-grade applications and scalable systems
- Familiarity with asynchronous programming and performance optimization
Artificial Intelligence & Machine Learning
- Minimum 3 years of hands-on AI/ML implementation experience
- Practical experience deploying AI models in production
- Strong understanding of:
- Supervised and unsupervised learning
- Model evaluation metrics and performance tuning
- Data preprocessing and feature engineering
- Experience with ML/AI frameworks:
- PyTorch, TensorFlow, OpenAI APIs or other AI systems
Prompt Engineering & LLM Optimization
- Advanced experience designing and optimizing prompts for LLMs
- Familiarity with:
- Prompt chaining and system prompt structuring
- Context window management and token optimization
- Reducing hallucinations and improving output accuracy
- Experience implementing Retrieval-Augmented Generation (RAG) architectures
OCR & Document Intelligence
- Hands-on experience with OCR tools (e.g., Tesseract, AWS Textract, Azure OCR, Google Vision)
- Expertise in document parsing, layout detection, and data extraction pipelines
- Experience integrating OCR outputs into downstream AI workflows
Model Fine-Tuning & Optimization
- Experience fine-tuning LLMs
- Understanding trade-offs between latency and accuracy
Backend & System Integration
- Experience integrating AI models into backend systems
- Strong knowledge of:
- Microservices architecture
- API orchestration and event-driven systems
- Familiarity with cloud platforms (AWS, Azure,)
Required Experience
- Minimum 5 years of professional software development experience
- Minimum 3 years of hands-on experience in AI / ML projects
- Proven experience delivering AI solutions in production environments
Preferred Qualifications
- Experience with cloud-native deployments
- Strong understanding of system architecture and performance optimization
- Ability to work independently and lead AI initiatives
- Experience mentoring junior engineers or AI practitioners
What We Offer
- Competitive compensation and benefits
- Opportunity to work on cutting-edge AI technologies
- High-impact role in a fast-growing, innovative environment
- Professional growth and leadership opportunities
