Sr. Agentic AI Python Engineer – AI Automation & Intelligent Agents | 7+ Years | UST Location |[...]
UST
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Job summary
UST is seeking a skilled Python Developer in Bengaluru, India, with over 7 years of experience in Python Development and a strong background in Agentic AI and Autonomous AI Systems. Candidates with hands-on experience with LLM integrations and AI automation are highly desired.
The role emphasizes strong API development and integration skills, along with knowledge of prompt engineering. Familiarity with DevOps practices and tools like Docker and Kubernetes is a plus.
Qualifications
- 7+ years of experience in Python Development.
- Strong expertise in Agentic AI / Autonomous AI Systems.
- Hands-on experience with LLM integrations and AI automation.
Skills
Python Development
Agentic AI / Autonomous AI Systems
AI agent frameworks
LLM integrations
API development
Prompt engineering
Scalable backend development
DevOps knowledge
Git and version control
Analytical skills
Tools
Docker
Kubernetes
AWS
Azure
GCP
Job description
Candidates ready to join immediately can share their details via email for quick processing.
nitin.patil@ust.com
Must-Have Skills
- 7+ years of experience in Python Development
- Strong expertise in Agentic AI / Autonomous AI Systems
- Experience with AI agent frameworks and orchestration workflows
- Hands-on experience with LLM integrations and AI automation
- Strong API development and integration skills
- Knowledge of prompt engineering and AI workflow design
- Experience in scalable backend development using Python
- Basic DevOps knowledge (CI/CD, deployment, environment management)
- Experience with Git and version control systems
- Strong analytical and problem-solving skills
Good-to-Have Skills
- Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Familiarity with Docker and Kubernetes
- Knowledge of MLOps or LLMOps practices
- Experience with vector databases and RAG pipelines
- Understanding of REST APIs and microservices architecture
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
