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AI Engineer

AI Engineer

People Prime WorldwideHyderabad, Telangana, India
23 hours ago
Job description

Experience Level : Minimum 6+ years

  • 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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