Senior Artificial Intelligence Engineer
First seen by Alion on Sep 5, 2026.
We are looking for a Senior AI Engineer to build production-ready GenAI, RAG, and agentic AI solutions across GCP and Azure. The role combines hands-on development, solution design, cloud deployment, and technical mentoring.
Responsibilities :
- Build RAG, autonomous-agent, and multi-agent solutions using LangGraph, LangChain, MCP, and prompt engineering.
- Develop enterprise AI workflows with n8n, Python Code Nodes, APIs, databases, and external systems.
- Work with Gemini and Vertex AI, including Agent Builder, Model Garden, and Vertex AI Search and Conversation.
- Perform data cleansing, chunking, embeddings, vector search, and CDC-based real-time data synchronization.
- Develop and deploy AI services using Python, FastAPI, Docker, and Kubernetes/GKE.
- Fine-tune LLMs/SLMs such as Gemma using PEFT, LoRA/QLoRA.
- Evaluate models for quality, performance, latency, and cost.
- Build AI interfaces using Gradio/Streamlit.
- Support CI/CD, MLOps/LLMOps, monitoring, and production deployments.
- Collaborate with engineering and business teams and mentor junior AI/ML engineers.
Requirements :
- 6+ years of relevant AI/ML engineering experience.
- Strong Python with PyTorch, TensorFlow, or Scikit-learn.
- GCP and Azure experience with enterprise AI workloads.
- Vertex AI, Gemini API, Vertex AI Pipelines, Gemini Code Assist.
- LangGraph, LangChain, MCP, RAG, Agentic AI.
- n8n, FastAPI, Docker, Kubernetes/GKE.
- Azure DevOps, Argo Workflows, CI/CD, MLOps/LLMOps.
- PEFT, LoRA/QLoRA, model evaluation, and optimization.
- Experience with APIs, databases, vector stores, and CDC.
- Strong communication, problem-solving, and stakeholder management skills.
- Preferred : Relevant AI/ML certifications and experience working on large-scale production AI solutions.
Skills
Artificial Intelligence, Generative AI, RAG, Agentic AI, LangChain, LangGraph, Python, Prompt Engineering, LLM, PyTorch, Tensorflow