AI Engineer
Saxon Global Inc
Artificial Intelligence Engineer
Rate: $55/hr C2C
Location: Hartford, CT
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- 4-6 years of hands-on experience in Artificial Intelligence, demonstrating true mastery and a relentless passion for AI innovation, with a portfolio of projects that showcase significant innovation and technical depth.
- Minimum 2 years of proven software engineering experience, with a record of building, deploying, and owning robust production systems.
- Proficient in cloud platforms, with advanced proficiency in Microsoft Azure and/or Google Cloud Platform (GCP); must be able to deploy, scale, and automate cloud-native solutions with confidence.
- Expert-level proficiency in FastAPI and modern web frameworks; must architect high-performance, asynchronous services with ease.
- Demonstrated experience migrating traditional machine learning models to Generative AI, including hands-on work with multimodal LLMs, SLMs, and BERT.
- Proficient in designing, building, and orchestrating agentic AI automation systems.
- Advanced, production-grade expertise in vector databases (e.g., FAISS, Pinecone, AzureAISearch); must manage embeddings at scale and optimize for performance.
- Strong Python programming skills
- Proficient in the vibe coding tools, platforms, and collaborative environments; must thrive in fast-paced, modern development ecosystems.
- Deep experience in designing, developing, and testing APIs and data pipelines (REST, async, streaming); must deliver resilient, high-throughput solutions.
- Proven ability to rigorously test, validate, and optimize algorithms for maximum reliability and performance.
- Demonstrated expertise in building and orchestrating autonomous agents and their workflows.
- Advanced data preprocessing and feature engineering skills; must transform complex, unstructured data into high-quality inputs for AI models.
- Superior analytical and problem-solving abilities; must excel at dissecting complex challenges and delivering actionable solutions.
- Must be driven by a passion for continuous growth in AI.
- A research-driven and innovative mindset is essential; must constantly prototype, challenge conventions, and push the boundaries of the field.
Vacancy posted 5 days ago
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