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Artificial Intelligence Engineer

Artificial Intelligence Engineer

People Prime WorldwideIndia
30+ days ago
Job description

About Company :

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

About Client :

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title : AI Engineer

Location : Pan India

Experience : 6+ years

Job Type : Contract to hire.

Notice Period : Immediate

Mandatory Skills :

  • 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.
  • Qualifications :

  • Bachelors degree in engineering and related field.
  • Seniority Level

  • Mid-Senior level
  • Industry

  • IT Services and IT Consulting
  • Employment Type

  • Contract
  • Job Functions

  • Business Development
  • Consulting
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