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AI/ML Engineer

Remote
Any
Leo Technologies
Actively hiring
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hackajob is partnering with Leo Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of hands-on experience in applied AI, NLP, or ML engineering (with at least 2 years working directly with LLMs, RAG, or semantic search).
  • Deep familiarity with LLMs (e.g. OpenAI, Claude, Gemini), prompt engineering, and responsible deployment in production settings.
  • Experience designing, building, and optimizing RAG pipelines, semantic search, vector databases (e.g. ElasticSearch, Pinecone), and Agentic or multi-agent AI workflows.
  • Exposure to GraphRAG or graph-based knowledge retrieval techniques is a strong plus.
  • Strong proficiency with modern ML frameworks and libraries (e.g. LangChain, LlamaIndex, PyTorch, HuggingFace Transformers).
  • Ability to design APIs and scalable backend services, with hands-on experience in Python.
  • Experience building, deploying, and monitoring AI/ML workloads in cloud environments (AWS, Azure) using services like AWS SageMaker, AWS Bedrock, AzureAI, etc.
  • Familiarity with MLOps practices, CI/CD for AI, model monitoring, data versioning, and continuous integration.
  • Demonstrated ability to work with large, complex datasets, perform data cleaning, feature engineering, and develop scalable data pipelines.
  • Excellent problem-solving, collaboration, and communication skills; able to work effectively across remote and distributed teams.
  • Proven record of shipping robust, high-impact AI solutions, ideally in fast-paced or regulated environments.
Apply by creating a free profile
Back to jobs

hackajob is partnering with Leo Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

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