Job Description
Qualifications and Skills
- Proven expertise in developing and deploying Gen AI models and orchestrating AI Agents using LangChain and LangGraph.
- Deep understanding of LLM fine-tuning, prompt engineering, and RAG techniques within agentic system contexts.
- Demonstrated ability to implement Responsible AI principles for both generative models and autonomous agents.
- Strong knowledge of knowledge graph concepts and practical experience integrating them with AI models and agents.
- 3+ years of solid foundation in machine learning and 5+ years of Python experience, with proficiency in relevant AI/ML libraries.
- Hands-on experience with cloud platforms such as AWS and/or Azure and implementing MLOps for AI and agent lifecycles.
- Experience designing and developing APIs for integrating AI models and enabling effective agent communication.
- A proactive, visionary, and results-oriented mindset with a passion for building groundbreaking intelligent systems.
- Excellent communication and collaboration skills to effectively lead and work within diverse teams.
- An advanced degree in AI, Computer Science, or a related field, or equivalent deep industry experience in Agentic and Generative AI.
Job Highlights
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