AI Engineer

Requirements

As a Generative AI Engineer you will work on the cutting edge of AI innovation by architecting developing and deploying autonomous AI systems that combine the power of LLMs and multimodal capabilities (text image audio video). You will:

• Architect and develop intelligent agentic systems that integrate LLMs and multimodal models to perform realworld tasks.
  

• Design autonomous workflows where AI agents interact with external APIs and data sources via advanced prompt engineering and RetrievalAugmented Generation (RAG).
  

• Finetune and optimize pretrained LLMs and multimodal models for domainspecific tasks balancing performance and efficiency.
  

• Build distributed training pipelines and MLOps systems to ensure continuous learning and deployment scalability.
  

• Collaborate with research engineering and product teams to embed AI intelligence into products and services.
  

• Evaluate and implement AI frameworks such as LangChain LangGraph LlamaIndex ensuring seamless integration with enterprise tools.
  

• Develop fullstack applications using modern frontend (React/Angular) and backend (Python Java technologies.
  

• Establish testing monitoring and observability protocols (e.g. using Langfuse Langsmith) to validate and maintain AI outputs.
  

• Identify and mitigate AI risks including hallucinations bias and security vulnerabilities.
  

• Drive agile projects balancing business needs model performance and costefficiency in GenAI solutions.
  

• Continuously research and prototype with novel LLMs agent architectures and multimodal models to stay ahead of innovation.
  

• Contribute to proofofconcept development and technical evaluation of GenAI technologies in emerging domains.
  

What You ll Bring with You:

• Education:
  
  Bachelor s degree in Computer Science Engineering AI/ML or a related field. Masters or PhD preferred for senior roles.
  

• Technical Expertise:
  

  • 5 10 years of handson experience in AI/ML engineering with a focus on LLMs multimodal systems and agentic AI.
    

  • Expertise in fullstack development:
    

    • Frontend: React Angular
      

    • Backend: Python Java
      

  • Strong prompt engineering experience with OpenAI GPT Anthropic Gemini Llama2/3 Mistral 7B etc.
    

  • Experience with agentic AI frameworks: LangGraph CrewAI AutoGen.
    

  • Familiarity with observability tools like Langfuse or Langsmith.
    

  • Proficiency in deep learning frameworks: PyTorch TensorFlow JAX.
    

  • Skilled in finetuning foundation models using techniques like SFT PEFT LoRA.
    

  • Experience working with structured/unstructured data and integrating it into scalable data pipelines.
    

  • Proficiency in cloudnative deployments: AWS Bedrock Agents Azure AI Foundry Assistants etc.
    

• Soft Skills:
  

  • Strong problemsolving and debugging skills.
    

  • Proven track record of rapid prototyping and iterative development in agile setups.
    

  • Project management capabilities: managing tasks timelines and coordinating across teams.
    

  • Solid understanding of costbenefit analysis in GenAI applications.
    

  • Excellent communication and collaboration skills within multidisciplinary agile teams.
    

Nice to Have:

• Prior work on opensource GenAI tools or contributions to the LLM ecosystem.
  

• Experience in ethical AI bias mitigation and responsible model deployment.
  

• Background in research publication or public speaking in the AI/ML domain.
  

Benefits