Agentic AI Engineer
First seen by Alion on Aug 6, 2026.
Job Description :
We are looking for an experienced Agentic AI Engineer with expertise in designing, developing, and deploying intelligent multi-agent AI solutions. The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), Vertex AI, Python, Large Language Models (LLMs), and Agentic AI frameworks, along with a deep understanding of AI orchestration, evaluation, and human-in-the-loop (HITL) systems.
Key Responsibilities :
- Design, develop, and deploy Agentic AI and Multi-Agent Systems for enterprise use cases.
- Build AI applications using Google Agent Development Kit (ADK) or similar agent frameworks.
- Develop and deploy AI solutions on Google Cloud Platform (GCP) using Vertex AI.
- Build LLM-powered applications, AI agents, and workflow orchestration pipelines.
- Implement Human-in-the-Loop (HITL) workflows for reliable and governed AI systems.
- Optimize prompt engineering, reasoning strategies (Chain-of-Thought, ReAct), and AI agent performance.
- Develop scalable backend services and AI workflows using Python.
- Evaluate AI model performance using automated evaluation frameworks, benchmarking, and quality metrics.
- Debug, optimize, and improve LLM responses, latency, reliability, and cost efficiency.
- Collaborate with product, engineering, and business teams to deliver production-ready AI solutions.
- Stay updated with the latest advancements in Generative AI, LLMs, Agentic AI, and Google Cloud technologies.
Required Skills :
- 8 to 10 years of software development experience with strong expertise in Python.
- Hands-on experience building Agentic AI or Multi-Agent Systems.
- Experience with Google Cloud Platform (GCP) and Vertex AI.
- Experience with Google Agent Development Kit (ADK) or similar agent frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Strong understanding of Large Language Models (LLMs) and Generative AI.
- Experience with AI workflow orchestration, prompt engineering, and reasoning techniques such as Chain-of-Thought (CoT) and ReAct.
- Experience implementing Human-in-the-Loop (HITL) workflows.
- Knowledge of AI evaluation frameworks, benchmarking, debugging, and model optimization.
- Experience integrating AI solutions using REST APIs and cloud services.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills :
- Experience with Retrieval-Augmented Generation (RAG), vector databases, and embeddings.
- Knowledge of ML frameworks such as TensorFlow or PyTorch.
- Experience with Docker, Kubernetes, CI/CD, and MLOps.
- Familiarity with BigQuery, Cloud Functions, Cloud Run, or other GCP services.
- Experience working on enterprise-scale AI applications.
Skills
Agentic AI, Artificial Intelligence, Python, LLM, Google Cloud Platform, Generative AI, LangGraph, Vertex AI