AI Engineer

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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting, long-term project. Here are a few details.

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 multi-modal capabilities (text, image, audio, video). You will:

• Architect and develop intelligent agentic systems that integrate LLMs and multi-modal models to perform real-world tasks.
  

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

• Fine-tune and optimize pre-trained LLMs and multi-modal models for domain-specific 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 full-stack applications using modern front-end (React/Angular) and back-end (Python, Java, Node.js) 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 cost-efficiency in GenAI solutions.
  

• Continuously research and prototype with novel LLMs, agent architectures, and multi-modal models to stay ahead of innovation.
  

• Contribute to proof-of-concept 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. Master's or PhD preferred for senior roles.
  

• Technical Expertise:
  

  • 5–10 years of hands-on experience in AI/ML engineering, with a focus on LLMs, multi-modal systems, and agentic AI.
    

  • Expertise in full-stack development:
    

    • Front-end: React, Angular
      

    • Back-end: Python, Java, Node.js
      

  • 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 fine-tuning foundation models using techniques like SFT, PEFT, LoRA.
    

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

  • Proficiency in cloud-native deployments: AWS Bedrock Agents, Azure AI Foundry Assistants, etc.
    

• Soft Skills:
  

  • Strong problem-solving 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 cost-benefit analysis in GenAI applications.
    

  • Excellent communication and collaboration skills within multi-disciplinary, agile teams.
    

Nice to Have:

• Prior work on open-source 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