Technology

Looking for Full Stack Developer _ AI Implementation Engineer in Stamford, CT

AriXEnt Technologies IncStamford, CT🇺🇸United StatesPosted Sep 21, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Stamford, CT, United States

Posted

23 hours ago

DockerSQLAWSAzureGenerative AIGoogle CloudGraphQLJavaKubernetesLLMPythonREST

Job Description

Dear Consultant - We are currently looking for a skilled Full Stack AI Engineer for a contract opportunity with our direct client in Stamford, CT. The ideal candidate will have strong experience in full-stack development, AI/ML technologies, and modern software engineering practices. Please send your updated resume to

Position: Full Stack Developer (FDE) – AI Implementation Engineer

Year of Exp: 5 to 10 Years

Location - East coast, will share the exact location in some time

Location: Stamford, CT (On-site from day one)

Position details:

Full Stack Developers (FDEs) with strong AI implementation expertise to support Charter Communications' digital transformation initiatives.

responsible for designing, developing, and deploying AI-powered applications, integrating Generative AI solutions, building scalable web platforms, and delivering intelligent automation solutions for telecom and broadband business operations.

The ideal candidate should have hands-on experience in AI/ML implementation, Large Language Models (LLMs), full-stack application development, cloud technologies, and enterprise system integration

Preferred Qualifications

Experience implementing enterprise GenAI solutions.
Exposure to telecom, cable, or broadband industry projects.
Knowledge of contact center AI solutions.
Experience developing AI copilots for customer support and operations teams.
Experience with Agentic AI frameworks.
Understanding of Responsible AI and AI governance.

Skill Category	Core Competencies & Tools	Telecom Industry Application
Applied AI & GenAI Fluency	• Retrieval-Augmented Generation (RAG) • Agent Orchestration (LangChain, LangGraph) • Prompt Engineering	Building AI assistants that allow field technicians or engineers to query thousands of pages of legacy hardware manuals using natural language.
AI Observability & Evals	• LangSmith, Braintrust • LLM Guardrails & Token Optimization	Ensuring AI workflows mapping customer data strictly adhere to telecommunication privacy compliances and don't "hallucinate" diagnostics.
Core Systems Engineering	• Python (Non-negotiable) • SQL, Go, or Java • Complex REST/GraphQL API Design	Coding robust, fault-tolerant middleware to stitch new AI layers into massive, undocumented legacy OSS/BSS platforms.
Cloud & Deployment Substrates	• AWS, Google Cloud Platform, Azure • Docker & Kubernetes • VPC Networking & IAM Security	Safely deploying containerized AI solutions directly inside a telecom operator’s secure cloud environment, preserving strict access controls.
Data & Ontologies	• Vector Databases (e.g., Pinecone, Milvus) • Time-series & Relational DBs	Harmonizing chaotic streaming data from field service tickets, CRM platforms, and network hardware sensors into unified datasets.