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AI Engineer

RichTech Robotics
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AI Engineer (Campus Recruitment)
THE JOB
We are looking for AI Engineers (1–2 positions) to join our team and build next-generation AI systems powered by LLM agents, multi-agent orchestration, and intelligent workflows. This role focuses on designing, developing, and deploying agent-based AI solutions, including RAG (Retrieval-Augmented Generation) systems, API integrations, and end-to-end AI pipelines. You will work closely with product, hardware, and software teams to deliver scalable, real-world AI applications.
THE DAY-TO-DAY
 

  • Design & Develop: Build and optimize AI agent systems, including single-agent and multi-agent orchestration frameworks.
     
  • RAG Pipelines: Construct and maintain pipelines for data ingestion, embedding, retrieval, and generation.
     
  • Integration: Integrate LLMs with internal and external APIs, tools, and services to enable autonomous workflows.
     
  • Automation: Develop AI workflows for task automation, decision-making, and real-time system interactions.
     
  • Data Management: Handle structured and unstructured data pipelines (documents, logs, sensor data, etc.) for AI applications.
     
  • Deployment: Assist in deploying, testing, and monitoring AI systems in production environments, ensuring reliability and scalability.
     
  • Collaboration: Work with cross-functional teams to integrate AI capabilities into products and optimize system performance.
     

THE IDEAL CANDIDATE
 

  • Education: Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or related fields.
     
  • Technical Core: Strong proficiency in Python; practical experience with LLMs and AI frameworks through academic projects, research, or internships (prior experience is a strong plus).
     
  • Agent Frameworks: Hands-on involvement or familiarity with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar).
     
  • RAG Knowledge: Solid understanding of RAG architectures, vector databases, and embedding models.
     
  • API Skills: Demonstrated ability to integrate APIs, tools, and external services into AI systems.
     
  • Systems: Familiarity with cloud platforms (AWS, GCP, or similar) and scalable system design principles.
     
  • Soft Skills: Strong problem-solving skills and the ability to work effectively across interdisciplinary teams.
     

NICE TO HAVE
 

  • Prior experience with multi-agent systems and orchestration strategies is highly preferred.
     
  • Knowledge or internship experience in MLOps / LLMOps, including deployment, monitoring, and evaluation of AI systems.
     
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
     
  • Academic background or project experience in robotics, multimodal AI, or real-time systems.