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On a side note - We need someone who is hands on coding especially with Google tech stack developing AI agents. Python and LangChain background with ability to develop AI agents using Google ADK (Agent Development Kit) and deploy on Vertex AI infrastructure. This resource should have a good understanding of Multi Agent Orchestrator with experience in Tool/API integrations to bring in data RAG Model Performance and feedback Observability security & Ethical AI etc;
Please forward profiles that match this criteria.
GC or Citizens only
Required Certifications/Education:
- Masters degree in computer science Artificial Intelligence Machine Learning or a related field. (Equivalent practical experience may be considered)
- Relevant Certifications on AI ML GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera Udemy etc.)
Required Skills & Experience:
- Required 2 years of experience developing and deploying GenAI/LLM powered applications/products
- Required 1 years of experience building Agentic AI systems including planning reasoning and decision-making components.
- Required proficiency in Python and relevant AI/ML libraries (e.g. TensorFlow PyTorch transformers LangChain LangGraph Autogen LLamaIndex etc.).
- Required experience with Natural Language Processing (NLP) techniques including text generation understanding and summarization.
- Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
- Required experience working with large datasets and cloud computing platforms (e.g. AWS GCP Azure IBM Salesforce).
- Required experience with version control systems (e.g. Git).
- Required strong communication and collaborative skills.
- Required experience working in an Agile development environment.
Required Platform Experience (One or more of the following):
- Required experience developing agents using Google ADK and deploy on VertexAI.
- Required experience integrating AI models with enterprise IT systems.
Preferred Skills & Experience:
- Preferred experience with prompt engineering and fine-tuning large language models.
- Preferred experience with knowledge graphs and semantic reasoning.
- Preferred experience with multi-agent systems and their coordination.
- Preferred experience with explainable AI (XAI) techniques.
- Preferred experience with MLOps and model deployment pipelines.
- Preferred experience with containerization technologies (e.g. Docker Kubernetes).
- Preferred experience with Salesforce development tools (e.g. IDE Apex Data Loader AutoRABIT).
- Preferred experience with IVR Technologies (e.g. Avaya Cisco) Chatbot development and other conversational AI platforms.
- Preferred experience working in an onshore/offshore support model collaborating with offshore teams.
- Preferred experience working with GitHub and other collaborative development platforms.