AI/ML & Agentic AI Engineer
First seen by Alion on Oct 30, 2026.
Function : Software Engineering Backend Development, Full-Stack Development, Data Science & Analytics Data Science / Machine Learning
Skills : AI Agents, Agentic AI, Gen AI, LLM, Large Language Model, Large Language Models, Python
We are looking for experienced AI/ML and Agentic AI Engineers with strong hands-on expertise in Python, Agentic AI, and AI/ML engineering. The role involves designing, developing, integrating, and deploying AI-powered solutions across enterprise platforms.
Responsibilities :
- Design and develop Agentic AI and LLM-based solutions using Python.
- Build AI agents, workflows, and intelligent automation solutions.
- Develop and integrate APIs and enterprise applications.
- Work on RAG (Retrieval-Augmented Generation) pipelines and prompt engineering.
- Develop and deploy AI/ML solutions using cloud-native technologies.
- Implement CI/CD pipelines and DevOps practices for AI applications.
- Perform testing, monitoring, and troubleshooting of AI/ML applications.
- Implement observability and monitoring for AI systems and enterprise platforms.
- Ensure AI solutions meet security, reliability, and responsible AI requirements.
- Work on enterprise platform connectivity and system integration.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
Requirements :
- Strong hands-on experience in Python.
- Hands-on experience in AI/ML engineering.
- Strong knowledge of Agentic AI / AI Agents.
- Experience with LLM applications and prompt engineering.
- Experience with RAG and AI application development.
- Strong understanding of APIs and system integration.
- Experience with cloud-native application deployment.
Primary Focus Areas : Agentic AI, LLM, Prompt Engineering, RAG, Python Engineering, APIs, Cloud-Native Deployment, CI/CD, System Integration, Testing, Observability, Responsible AI.
Ideal Candidate : A hands-on AI/ML engineer with 5 - 12 years of experience who has practical expertise in Python and modern Agentic AI/LLM technologies, along with experience integrating and deploying AI solutions in enterprise environments.
Supporting Skills :
- Cloud technologies
- DevOps and CI/CD
- Software testing
- Observability and monitoring
- Security
- Responsible AI
- Enterprise platform integration/connectivity
Skills
Machine Learning, Python, Agentic AI, LLM, Generative AI, Artificial Intelligence, Prompt Engineering, Data Science, Data Scientist, Cloud Architect - AI/ML