The Role

As a GenAI / AI Engineer, you will design, develop, and deploy production-ready AI solutions that power enterprise applications and customer-facing products. You will work across the full AI development lifecycle, from experimentation and model integration to backend engineering and cloud deployment.

Depending on your experience, your responsibilities may include:

• Designing and building Generative AI applications using Large Language Models (LLMs)


• Developing Agentic AI workflows using frameworks such as LangGraph or LangChain


• Building scalable backend services and APIs to support AI applications


• Deploying AI solutions on AWS using modern cloud-native architecture


• Developing Retrieval-Augmented Generation (RAG) solutions


• Integrating foundation models through AWS Bedrock or similar platforms


• Fine-tuning, evaluating, and monitoring LLM performance


• Collaborating with Data Scientists, Product Managers, and Software Engineers on AI initiatives


• Building internal AI tools, intelligent assistants, and customer-facing AI solutions


• Applying AI governance, security, privacy, and responsible AI best practices


• Contributing to the organization's long-term AI strategy and technology roadmap

Required Skills

• Strong experience building Generative AI or Machine Learning solutions


• Hands-on experience with AWS cloud services


• Experience using Terraform for Infrastructure as Code


• Experience with LangGraph (highly preferred)


• Strong backend development experience in Java


• Experience building scalable APIs and distributed applications


• Passion for AI and emerging technologies


• Experience working in SaaS or technology product companies


• Ability to work in a fast-paced, collaborative environment

Preferred Experience

• 2+ years of hands-on experience in Generative AI, LLMs, or Machine Learning Engineering


• Experience with:
  
  
  
  • LangChain
  
  
  • LlamaIndex
  
  
  • RAG architecture
  
  
  • Prompt Engineering
  
  
  • AI Agents / Agentic AI
  
  
  • AWS Bedrock
  
  
  • MLOps / LLMOps
  
  


• Python knowledge is advantageous


• Experience with transformer models and LLM evaluation


• Exposure to conversational AI or voice AI solutions is a plus

Who We're Looking For

We are interested in candidates with backgrounds such as:

• GenAI Engineer


• Machine Learning Engineer


• AI Engineer


• AI Full Stack Engineer


• Backend Engineer with strong AI experience

Successful candidates are typically passionate about AI, enjoy solving complex technical challenges, and are excited to build production-grade AI products at scale.