AI Engineer

We are looking for a AI Engineer to join our project delivery team and build cutting-edge GenAI-powered solutions. This role focuses on designing, developing, and deploying applications powered by Large Language Models (LLMs) and modern AI systems.

The ideal candidate will have hands-on experience with GenAI frameworks, prompt engineering, and integrating AI into scalable applications. You will work on enterprise-grade AI use cases, solving real-world problems using advanced AI techniques in an agile environment.

GenAI Development & Implementation

• Design and develop applications using Large Language Models (LLMs) and GenAI frameworks.
  
• Develop prompt engineering strategies to improve accuracy, relevance, and performance of LLM outputs.
  
• Work on AI use cases such as chatbots, document processing, summarization, and knowledge assistants.
  
• Implement data preprocessing, chunking, and embedding workflows for unstructured data.
  
• Integrate GenAI models into APIs, microservices, or enterprise applications.
  
• Monitor, debug, and improve model responses, latency, and cost efficiency.
  

Collaboration & Delivery

• Collaborate with product managers, engineers, and stakeholders to translate business requirements into GenAI solutions.
  
• Participate in sprint planning, stand-ups, and design/code reviews.
  
• Work closely with data engineering and DevOps teams for scalable deployments.
  
• Ensure smooth integration of GenAI components into production systems.
  

• Define and implement evaluation metrics for LLM outputs (accuracy, hallucination, relevance).
  
• Conduct testing, validation, and iterative improvements to GenAI pipelines.
  
• Document prompts, workflows, and system design decisions.
  
• Ensure responsible AI practices, including data privacy and safe AI usage.
  

Required Skills & Experience

• 2+ years of experience in AI/ML, with strong exposure to Generative AI systems.
  
• Proficiency in:
  • Programming: Python
    
  • GenAI/LLM Tools: OpenAI / Azure OpenAI / similar APIs
    
  • Data Handling: Working with structured & unstructured data
    
  • Frameworks: Langchain, LangGraph, LlamaIndex, etc.
    
• Experience in designing AI solutions using modular coding practices
  
• Experience building RAG pipelines and working with vector databases and RAG Evaluations.
  
• Strong understanding of prompt engineering, vector embedding, and context management.
  
• Experience integrating AI solutions via REST APIs.
  
• Familiarity with Docker, CI/CD pipelines, and cloud platforms (Azure).
  

Preferred Qualifications

• Bachelor's or master's degree in computer science, AI, Data Science, or related field.
  
• Experience with:
  • Fine-tuning or adapting LLMs
    
  • Multi-agent systems or tool-augmented LLMs
    
  • Knowledge graphs or semantic search
    
• Exposure of enterprise-scale AI applications or production deployments.
  

Soft Skills

• Strong analytical and problem-solving abilities.
  
• Effective communication and collaboration skills.
  
• Ability to work in a fast-paced, agile environment.
  
• Proactive mindset with a focus on ownership and delivery.
  
• Eagerness to learn and experiment with emerging GenAI technologies.