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- Design and develop AI/ML applications using Python.
- Build and deploy Generative AI and Large Language Model (LLM) solutions.
- Develop AI agents, copilots, and intelligent automation workflows.
- Implement Retrieval-Augmented Generation (RAG) architectures.
- Integrate AI solutions with enterprise applications and APIs.
- Fine-tune, evaluate, and optimize machine learning and foundation models.
- Develop scalable backend services supporting AI workloads.
- Work with vector databases and semantic search technologies.
- Collaborate with MLOps and DevOps teams for deployment automation.
- Monitor AI model performance and implement continuous improvement strategies.
- Ensure security, governance, and responsible AI practices.
- Stay updated with emerging AI technologies and industry trends.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
- 6–8 years of experience in Python application development.
- Strong experience building AI and Machine Learning solutions.
- Hands-on experience with Generative AI and LLM-based applications.
- Experience designing scalable backend systems and APIs.
- Strong problem-solving and analytical skills.
- Experience working in Agile environments.
- Experience with multi-agent AI systems.
- Exposure to AWS Bedrock, Azure OpenAI, OpenAI APIs, or Google Vertex AI.
- Experience with MLOps and AI model lifecycle management.
- Knowledge of AI governance, responsible AI, and model monitoring.
- Experience deploying AI solutions in cloud environments.
- Familiarity with knowledge graphs and enterprise search platforms.
- Relevant AI, Cloud, or Machine Learning certifications.
