AI Engineer
First seen by Alion on Oct 8, 2026.
Job Summary :
We are looking for a hands-on AI Engineer to design, develop and deploy enterprise-scale Generative AI and Agentic AI solutions. The role involves building AI agents, LLM applications, RAG pipelines, API integrations and intelligent workflow automations for enterprise use cases.
Key Responsibilities :
- Design, develop and deploy AI Agents / Agentic AI solutions from concept to production.
- Build GenAI/LLM applications, RAG pipelines and intelligent automation workflows.
- Develop AI services and integrations using Python, FastAPI/REST APIs and enterprise systems.
- Implement LangChain, LangGraph or similar AI orchestration frameworks.
- Integrate LLMs with APIs, enterprise applications, databases and external tools using tool/function calling.
- Develop scalable, secure and reliable AI solutions for production environments.
- Perform AI evaluation, testing, debugging, monitoring and optimization.
- Implement appropriate AI guardrails, security, privacy and responsible AI practices.
- Work with cloud platforms such as AWS, Azure or GCP.
- Follow software engineering best practices including Git, CI/CD, testing, documentation and code reviews.
- Collaborate with product, engineering and business stakeholders to translate requirements into technical solutions.
Required Skills :
- 9+ years of overall software engineering experience.
- 2+ years of hands-on GenAI / Agentic AI experience.
- Strong hands-on Python development.
- Strong experience with AI Agents / Agentic AI.
- Experience with RAG / Retrieval-Augmented Generation.
- Strong knowledge of LLMs / Generative AI.
- Hands-on experience with LangGraph / LangChain.
- Experience with tool calling / function calling / API integrations.
- Strong experience developing REST APIs / FastAPI.
- Experience deploying AI solutions into production environments.
- Strong software engineering fundamentals : coding, testing, debugging, Git and deployment.
Preferred Skills :
- MCP / Multi-Agent Systems.
- LLM evaluation and observability.
- AI guardrails / Responsible AI.
- Vector databases.
- Docker / Kubernetes / CI/CD.
- AWS / Azure / GCP.
- Experience building enterprise AI platforms or workflow automation.
Who We're Looking For :
Candidates who have personally designed and implemented AI solutions end-to-end from architecture and development through integrations, testing/evaluation, deployment and production support.
Skills
Artificial Intelligence, Python, Generative AI, LangChain, RAG, LangGraph, Cloud