Agentic AI/Generative AI Engineer
First seen by Alion on Aug 21, 2026.
Role: Agentic AI / GenAI Engineer
Experience: 6+ years in AI/ML/data science/software engineering, with 3 years in GenAI, LLM, RAG, conversational AI, or ML productionisation.
What we're looking for:
- Strong Python.
- API development using FastAPI, Flask, or similar.
- Understanding of LLMs, embeddings, vector search, prompt design, evaluation, and hallucination control.
- RAG architecture: ingestion, chunking, embeddings, retrieval, ranking, grounding, citations, evaluation.
- MLOps / LLMOps basics: model deployment, monitoring, evaluation, versioning, observability.
- Security and governance basics: IAM, PII handling, prompt injection risks, data leakage, approval workflows.
- Ability to build real working prototypes and production-ready services.
Technical Skills:
- Python, FastAPI, REST APIs, async processing.
- LLM application development.
- RAG implementation with vector databases.
- Prompt engineering, tool calling, function calling, structured outputs.
- LLM security: prompt injection, data leakage, access control, guardrails.
GCP Skills:
- VertexAI: Vector Search, Pinecone, Weaviate, FAISS, Chroma, pgvector, or equivalent.
- Gemini.
- Agent Orchestration using ADK: LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or equivalent.
- Cloud Run: Production deployment on Cloud Run, GKE, or equivalent.
- Evaluation using Vertex AI: Evals, RAGAS, custom eval frameworks, golden datasets, regression tests.
Nice to have:
- Google Agent Development Kit, Agent Engine / Gemini Enterprise Agent Platform, Model Armor, Agent observability and tracing, Multi-agent architecture, Human-in-the-loop approval flows, Enterprise knowledge graph / search integration.
Skills
Machine Learning, Python, RAG, LLM, LangChain, Data Science, Data Scientist, MLOps