Agentic AI/GenAI Engineer
First seen by Alion on Sep 30, 2026.
Role Overview:
We are seeking a highly skilled Agentic AI / GenAI Engineer (Data Scientist) to design, develop, and deploy production-grade AI systems. The ideal candidate will have strong expertise in building LLM-powered applications, implementing Retrieval-Augmented Generation (RAG), and deploying scalable AI solutions on cloud platforms such as Google Cloud.
Key Responsibilities:
- Design and build scalable AI/ML solutions using LLMs and GenAI frameworks
- Develop APIs and backend services using Python (FastAPI/Flask)
- Implement RAG architectures including ingestion, chunking, embeddings, retrieval, and evaluation
- Work on prompt engineering, tool/function calling, and structured outputs
- Deploy and monitor AI models using MLOps/LLMOps practices
- Ensure security, governance, and compliance (PII handling, prompt injection prevention, data leakage control)
- Build production-ready systems and real-world AI applications
- Collaborate with cross-functional teams for solution design and delivery
Core Technical Skills:
- Strong programming skills in Python
- Experience with FastAPI, REST APIs, async processing
- Hands-on experience in LLM application development
- Strong understanding of embeddings, vector search, prompt design, evaluation, and hallucination control
- Experience in RAG implementation using vector databases (Pinecone, Weaviate, FAISS, Chroma, pgvector)
- Knowledge of LLM security & guardrails
Cloud & Platform Skills (GCP MUST):
- Experience with Vertex AI / Gemini or equivalent platforms
- Experience in deployment using Cloud Run / GKE / similar cloud services
- Exposure to evaluation frameworks such as RAGAS, Evals, custom evaluation pipelines
Agent Frameworks:
- Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen
Good to Have:
- Google Agent Development Kit (ADK), Gemini Enterprise / Agent Engine
- Model monitoring & observability tools, multi-agent system architecture, human-in-the-loop workflows, knowledge graph or enterprise search integration
Candidate Profile:
- Strong problem-solving and analytical mindset
- Ability to build end-to-end AI solutions from prototype to production
- Experience working in agile environments
- Excellent communication and collaboration skills
Skills
Python, Generative AI, LangChain, FastAPI, Vertex AI, Agentic AI, Data Science, RAG, Flask, Prompt Engineering