AI Engineer

Hartford, CT - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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 buildin...

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.