TC-CS-IAM-AI and Agentic AI Engineer- Senior

• Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners
• Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources
• Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques
• Ability to identify needs and opportunities for advancements in innovations, processes and automation
• Able to work proactively and take initiative without being specifically directed
• Ability to extract & aggregate data from disparate data sources
• Agentic AI Development: Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
• Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
• RAG Pipelines: Implement and optimize RAG systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
• LLM Engineering: Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation. Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.
• Enterprise AI Platform: Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.
• Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.
• MLOps & Observability: Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.

• Ability to perform in depth data analysis including but not limited to
  • Machine Learning
  • Classification
  • Optimization
  • Time Series analysis
  • Pattern Recognition
• Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc)
• Ability to communicate complex topics in an easy-to-understand manner when presenting to management
• Ability to visualize data and intelligence in easy-to-understand story telling

QUALIFICATIONS:

Required Skills

• 5+ years overall experience in software development, data science, or machine learning.
• 1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.
• Strong programming skills in Python and basics in SQL.
• Expertise with LLM/SLM APIs, embeddings, and RAG systems.
• Experience deploying on Google Cloud Platform (GCP) with Vertex AI, and IBM WatsonX.
• Familiarity with agentic AI protocols and exposure to Agent Development Kits (ADKs).
• Experience implementing Model Context Protocol (MCP) for agent coordination.
• Prior exposure to LangGraph, AutoGen, or related orchestration frameworks.
• 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.
  • Good communication, stakeholder management and good aptitude, attitude to be flexible.