GenAI Technical Lead

Codetech•Hartford, CT

19h

About The Position

The GenAI Technical Lead will build, deploy, and own production AI systems, with a focus on Generative AI, cloud-native solutions, APIs, data pipelines, and autonomous agents. The role includes migrating traditional machine-learning models to Generative AI and developing agentic AI automation systems and workflows. The position calls for a research-driven, innovative approach, including prototyping and exploring new approaches to AI.

Requirements

4–6 years of hands-on experience in artificial intelligence, with a portfolio demonstrating innovation and technical depth.
At least 2 years of software engineering experience, including building, deploying, and owning production systems.
Advanced proficiency in Microsoft Azure and/or Google Cloud Platform (GCP), including deploying, scaling, and automating cloud-native solutions.
Expert-level proficiency in FastAPI and modern web frameworks.
Hands-on experience migrating traditional machine-learning models to Generative AI, including multimodal LLMs, SLMs, and BERT.
Proficiency in designing, building, and orchestrating agentic AI automation systems.
Production-grade expertise in vector databases such as FAISS, Pinecone, or Azure AI Search, including managing embeddings at scale and optimizing performance.
Strong Python programming skills.
Proficiency with vibe-coding tools, platforms, and collaborative environments.
Deep experience designing, developing, and testing APIs and data pipelines, including REST, asynchronous, and streaming systems.
Ability to rigorously test, validate, and optimize algorithms for reliability and performance.
Advanced data preprocessing and feature-engineering skills.
Strong analytical and problem-solving abilities.
Passion for continuous growth in AI and a research-driven, innovative mindset.

Responsibilities

Build, deploy, and own robust production systems.
Deploy, scale, and automate cloud-native solutions using Microsoft Azure and/or Google Cloud Platform.
Architect high-performance asynchronous services with FastAPI and modern web frameworks.
Migrate traditional machine-learning models to Generative AI, including work with multimodal LLMs, SLMs, and BERT.
Design, build, and orchestrate agentic AI automation systems and autonomous agent workflows.
Manage embeddings at scale and optimize vector databases for performance.
Design, develop, and test APIs and data pipelines, including REST, asynchronous, and streaming solutions.
Test, validate, and optimize algorithms for reliability and performance.
Preprocess data and engineer features, transforming complex unstructured data into high-quality inputs for AI models.
Prototype, explore new approaches, and pursue continuous growth in AI.