Senior AI Engineer - Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox

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**Job Description:** **Job Summary** We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.

This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex.

The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.

**Responsibilities** + **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 **retrieval-augmented generation (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. + **Applied AI Prototyping:** Rapidly **prototype, experiment, and iterate** to improve AI agent capabilities.

+ **Collaboration & Research:** Participate in the **full research cycle** : literature review, data exploration, experimentation, and presentation of findings. Collaborate effectively with other engineers, researchers, and data scientists.

Contribute to the **documentation and standardization** of technical code and practices. **Required Education** **Bachelor's degree** in Computer Science, Engineering, or a related quantitative field. **Master's or Ph. D. ** is a strong plus.

**Required Experience** + Relevant experience Senior - Min 5+ yrs of relevance experience Intermediate - Min 3+ yrs of relevance experience Associate - Min 2+ yrs of relevant experience + **1+ year of hands-on experience** developing AI applications with LLMs and systems such as **retrieval-based methods, fine-tuning, or agent-based architectures** .

+ **1+ year of experience** with frameworks like **LangChain, LlamaIndex, OpenAI, or similar tools** . **Required Technical Skills** + 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)** . **Preferred Qualifications** + Experience implementing **Model Context Protocol (MCP)** for agent coordination.

+ Prior exposure to **Lang Graph, AutoGen, or related orchestration frameworks** . + Knowledge of **MLOps best practices** (CI/CD for ML, observability, monitoring, scaling). + Familiarity with **responsible AI** principles (safety, fairness, interpretability).

+ Experience in **enterprise-scale deployments** of AI-driven platforms. + Contributions to **open-source AI/ML projects** are a plus. **Employee Type:** Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.