Key Responsibilities
- Collaborate with cross-functional teams to design and implement generative AI solutions tailored to client needs.
- Translate complex business challenges into scalable AI-powered architectural designs with measurable outcomes.
- Develop and deploy prototypes, pilot models, and full-scale solutions using deep learning, generative AI, and intelligent agents.
- Research, test, and integrate emerging technologies within the Gen AI ecosystem to enhance proprietary AI platforms.
- Support business development by contributing to pitches, presentations, and client demos.
- Implement MLOps/LLMOps practices including performance monitoring, model versioning, and alerting mechanisms.
Requirements
- University degree in computer science, engineering, or a related field.
- Minimum 3 years of hands-on experience in AI engineering with deep learning, generative AI, and AI agents.
- Advanced Python programming skills and experience with cloud-based AI services (AWS SageMaker, Google Vertex AI, Microsoft Azure AI).
- Familiarity with LLM-based tools (OpenAI, Gemini, Cohere) across text, image, and video modalities.
- Experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel).