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Compensation:
$180,000 - $210,000 / yr
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This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is fully remote.
We are seeking a Senior AI Engineer with a strong background in AI/ML development and software engineering. This role will drive the strategy and delivery of AI initiatives, from building rapid prototypes to deploying scalable, production-ready solutions that enhance customer experiences and internal operations.
Responsibilities
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Design and develop AI/ML solutions, including generative AI, agent-based AI, and traditional machine learning models (classification, predictive analytics, deep learning).
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Build prototypes and proofs of concept to validate ideas, and transition successful projects into production systems.
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Work with cross-functional teams to identify opportunities, define requirements, and deliver solutions aligned with business needs.
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Apply responsible AI practices, including bias reduction, data quality, transparency, and model explainability.
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Collaborate with data engineering to optimize pipelines, training data, and retrieval-augmented generation (RAG) workflows.
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Contribute to robust CI/CD pipelines for AI/ML development, leveraging containers, microservices, and cloud platforms.
Requirements
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Proven experience delivering production-grade AI/ML solutions in both generative AI and traditional machine learning.
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Strong proficiency in Python and modern frameworks such as FastAPI, LangChain, or Haystack.
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Hands-on experience with RAG architectures, multimodal LLMs, and agent workflows.
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Familiarity with cloud services (AWS or equivalent), CI/CD automation, and Agile environments.
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Solid foundation in computer science, algorithms, and data structures.
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Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
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Experience with knowledge graphs, graph-based RAG, or vertical AI agents.
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Exposure to cloud ML tools (e.g., SageMaker, Redshift) and computer vision/OCR systems.
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Background in fine-tuning or prompt-tuning large language models.
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