Required education and certifications critical for the role
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Required years of experience
- 2-4 years experience in relevant field
Skills/Competencies Required
- 2-4 years of experience in AI, software development, data engineering, or MLOps
- Solid Python skills (FastAPI, Pandas, NumPy)
- Hands-on experience with AI APIs (OpenAI, Hugging Face etc.)
- Basic experience with cloud platforms for model deployment
- Understanding of data processing & vector database
Job Responsibilities
- Sync with the team on priorities and progress (join daily standup meeting etc.)
- Work on AI driven development APIs, LLM prompts, and data workflow
- Improve AI workflow efficiency and data retrieval performance
- Ensure smooth deployment and scalability of AI applications
- Research and knowledge sharing
- Wrap-up and next day planning
Key Responsibilities
- LLM Integration & AI Workflows
- Develop AI powered solutions using LLMs (GPT4, Claude, llama etc.)
- Implement prompt engineering techniques (zero shot, few-shot, chain-of-thought)
- Optimize AI responses using RAG
- API Development & AI Productization
- Build and optimize API to integrate AI models with applications
- Develop Python-based backend services
- Implement real-time and batch AI processing workflows
- Data Engineering and Processing
- Work with structured and unstructured data transformation
- Implement vector database storage and retrieval
- Build data pipeline
- Basic MLOps & Deployment
- Deploy and manage AI Models with cloud platform
- Automate model versioning, logging, and monitoring
- Optimize model inference for latency and scalability