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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI agents using Aisera’s platform, with strong capabilities in Python programming, integration of external systems, and implementation of AI governance and compliance controls.
Highest-signal resume keywords
AI Agent DevelopmentPython ProgrammingIntegration ExperienceCloud & DevOpsLLM Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML EngineeringSoftware DevelopmentSystems IntegrationPrompt EngineeringRAG Pipeline DesignMicroservices DevelopmentModel Context ProtocolMulti-Agent ArchitecturesData Pipeline IntegrationEmbedding and Vector Databases
Soft Skills
Problem-SolvingCustomer-Facing Communication
Tools & Technologies
Aisera PlatformAWSAzureGCPLangfuseELK
Industry Keywords
AI GovernanceSecurity ControlsCompliance ControlsConversational AIOps
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaJavaScriptMicroservicesPython
About the role
Key responsibilities & impact- Develop, configure, and deploy AI agents using Aisera’s platform
- Build autonomous and multi-agent systems
- Design and implement RAG pipelines
- Integrate agents with external systems — APIs, webhooks, databases
- Apply prompt engineering and configuration tuning
- Translate business requirements into functional and technical agent designs
- Build scalable backend services/microservices for AI applications
- Implement AI governance, security, and compliance controls
- Troubleshoot, monitor, and continuously improve deployed agents
Requirements
What you’ll need- 8–12 years in software development, AI/ML engineering, or systems integration
- Hands-on experience with Aisera or comparable agentic AI / conversational AIOps platforms
- Strong programming in Python (primary), plus Java and/or JavaScript
- Proven experience building agents with LLM frameworks
- Solid understanding of LLMs, embeddings, vector databases
- Experience with Model Context Protocol (MCP) and multi-agent architectures
- Integration experience: REST APIs, webhooks, data pipelines
- Cloud & DevOps: AWS, Azure, or GCP
- Familiarity with AI/LLM observability tooling (Langfuse, ELK) is highly desirable
- Strong problem-solving and customer-facing communication skills
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
