AI Engineer // In-person interview

Job Title: AI Engineer

Location: Hartford, CT (Hybrid)

Duration: 12 Months Contract

Job Description:

One and done in-person interview

• 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 (Google Cloud Platform); 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.