Senior AI Engineer
First seen by Alion on Sep 9, 2026.
Role Summary :
We are seeking an experienced AI professional to design, develop, and deploy enterprise-grade Agentic AI solutions powered by LLMs. The ideal candidate will have strong expertise in prompt engineering, agent orchestration frameworks, multi-agent architectures, memory and state management, RAG systems, and production deployment on cloud platforms.
Key Responsibilities :
- Design and build LLM-powered agentic systems capable of planning, reasoning, tool usage, and multi-step workflow execution.
- Develop orchestration pipelines using LangGraph, LangChain, or Semantic Kernel.
- Implement agentic patterns including Planner-Executor, ReAct, Supervisor-Worker, and Multi-Agent Collaboration.
- Create and maintain reusable Agentic Skills, tool integrations, memory systems, checkpoints, and task-tracking mechanisms.
- Lead prompt engineering efforts including system prompts, tool/function calling, structured outputs, guardrails, and instruction tuning.
- Integrate APIs, enterprise services, search systems, and external tools into agent workflows.
- Implement automated testing, evaluation frameworks, observability, tracing, monitoring, and cost optimization.
- Ensure enterprise-grade security through prompt injection protection, RBAC, sandboxing, audit logging, and input/output validation.
- Translate business requirements into technical designs, HLDs, LLDs, and scalable AI architectures.
- Drive innovation by researching and implementing emerging Agentic AI techniques and best practices.
Required Skills :
- Strong hands-on experience with Prompt Engineering and Agentic AI development.
- Expertise in LangGraph, LangChain, Semantic Kernel, or similar orchestration frameworks.
- Experience with context engineering, memory management, state management, checkpoints, scratchpads, and task orchestration.
- Proficiency in Python (preferred) or TypeScript/JavaScript.
- Experience with RAG, hybrid retrieval, reranking, chunking, and vector databases (Pinecone, FAISS, Azure AI Search, etc.).
- Knowledge of GitHub, DevOps, CI/CD, enterprise code management, and cloud platforms (Azure, AWS, or GCP).
- Experience building user-facing AI applications (chatbots, voice assistants, workflow automation).
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Preferred :
- Experience with OpenAI Agent Skills, Claude Skills, or similar agent skill frameworks.
- Experience with LLM evaluation frameworks, agent testing methodologies, and production-scale AI deployments.
- Understanding of secure tool execution, cloud computing technologies, and modern AI trends.
Skills
Machine Learning, Python, LangChain, RAG, Agentic AI, Artificial Intelligence, LLM, Prompt Engineering