Must Have Generative AI RAG Python Basic of deployment Strong ML background
The AIQRM Reviewer ensures AI solutions meet governance and regulatory standards by reviewing AIQRM and VV reports during the validation phase of the AI lifecycle Supervising
Key Responsibilities
Review AIQRM reports for completeness accuracy and alignment with internal templates and regulatory expectations
Validate risk tiering evaluation metrics and continuous monitoring plans
Ensure compliance with AI Principles and frameworks like the EU AI Act and ISOIEC standards
Provide clear actionable feedback to development teams and track resolution of issues
Collaborate with model owners and sponsors to clarify findings and support remediation
Participating in periodic checking based on model risk tier
Qualifications
Experience in AIML lifecycle especially validation and monitoring
Familiarity with AI governance risk frameworks and tools like AIRA
Strong analytical and communication skills
Preferred Knowledge of LLMspecific risks and internal AIQRM process
Agent Design Development
Design and implement autonomous agents using frameworks like Langgraph or Semantic Kernal
Develop agents capable of reasoning planning and executing tasks
LLM Integration Prompt Engineering
Integrate large language models LLMs such as Azure Open AI
Design and optimize prompts for task specific performance and reliability
Tool API Integration
Enable agents to interact with external tools APIs databases and services to perform complex operations
Build custom tools and wrappers for agent use
Memory Context Management
Implement memory systems short-term long-term using vector databases like Mongo DB Elastic Search
Design retrieval augmented generation RAG pipelines for contextual awareness
Multiagent Collaboration
Develop systems where multiple agents collaborate delegate tasks and communicate effectively
Implement agent orchestration role assignment and coordination strategies
Monitoring Evaluation Optimization
Continuously monitor agent performance accuracy and reliability
Documentation Collaboration
Maintain clear documentation of agent design workflows and APIs
Collaborate with other engineers to align AI capabilities with business goals
Required Skills
Technical Expertise
Strong proficiency in Python and experience with AIML libraries
Deep understanding of LLMs their capabilities, limitations and finetuning techniques
Agent Frameworks Architectures
Handson experience with agent frameworks like Langgraph or Semantic Kernal
Familiarity with agent planning tool usage and memory management
Experience with Agents performance metrics collection
Experience with Agents Monitoring
Additional knowledge in MCP A2A protocols
Prompt Engineering RAG
Experience crafting effective prompts and building retrieval augmented generation pipelines
Knowledge of embedding models and vector search techniques
System Integration
Experience integrating agents with RESTful APIs databases cloud services and third-party tools
Familiarity with containerization Docker orchestration Kubernetes and CICD pipelines
Cloud Deployment
Experience deploying AI solutions on Azure cloud platforms
Understanding of scalable architecture and performance optimization
Good to have Asp Net 8 C Entity Framework Azure Services React SQL AKS Docker etc.
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Ai Engineer • Hyderabad, Telangana, India
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