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Apollo Solutions Logo Apollo Solutions · IT - Software Development

Senior AI Engineer

United States, New York Employment contract 150000.00 - 200000.00 USD / Year · Job Posted June 09, 2026
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Job Description

The client is seeking an experienced AI Engineer with a strong focus on Generative AI to design, develop, and deploy advanced AI systems. This role will play a key part in building scalable GenAI solutions and integrating large language models into production environments. The position offers significant ownership, with the opportunity to influence architecture, product direction, and AI strategy from an early stage.

Job Responsibility

  • Design, build, and deploy generative AI solutions, including LLM-powered applications
  • Develop and optimize end-to-end ML pipelines (data processing, training, evaluation, deployment)
  • Integrate and fine-tune large language models (e.g., OpenAI, Anthropic, open-source models)
  • Implement advanced GenAI techniques such as retrieval-augmented generation (RAG), prompt engineering, and agents
  • Build scalable backend services and APIs to serve AI models in production
  • Collaborate with product and engineering teams to translate business requirements into AI features
  • Continuously improve model performance, scalability, latency, and cost efficiency
  • Stay current with emerging trends and advancements in AI, particularly in the generative AI space

Requirements

  • 5+ years of experience in AI/ML engineering or a related field
  • Strong programming skills in Python
  • Proven experience building and deploying generative AI or LLM-based applications
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar
  • Solid understanding of machine learning fundamentals and evaluation techniques
  • Experience building APIs and production systems (e.g., FastAPI, Flask)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of prompt engineering, embeddings, and vector search
  • Ability to thrive in a fast-paced startup environment with high ownership
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