0 years
0 Lacs
Posted:1 week ago|
Platform:
On-site
Full Time
Key Responsibilities.
Architect and implement AI agent powered products using Semantic Kernel and Python, enabling automated workflows
Orchestrate multi agent systems allowing agents to collaborate on complex tasks, process data, interact with APIs, and solve real work business challenges
Integrate varied LLMs, tailoring prompt templates and agent plugins to deliver optimal results for specific business use cases
Develop custom plugins, connectors that allow ai agents to communicate with external APIs, business applications and databases
Optimize and monitor agent performance, ensuring safety, reliability, and scalability in enterprise environments
Contribute to documentation model driven development process and share insights about emerging agentic technologies within team
Demonstrate leadership skills for ownership of business outcomes and leading team.
Qualifications we seek in you!
Minimum Qualifications
Strong python engineering background, experience developing AI ML solutions, building async workflow, micro serves or distributed systems
Knowledge of Semantic kernel ecosystem, agentic patterns and similar frameworks
Knowledge of LLMs, prompt engineering, API integrations and external service management
Skills and requirements
Experience in orchestrating multi agent solutions for complex business tasks
Strong problem-solving skills, technical curiosity and continuous learn and adapt to new AI tech and agent frameworks
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