AI Engineer

VDart Inc; Stamford (CT); Presencial; USD 120.000 - 155.000; Jornada completa

Descripción de la vacante

VDart Inc. is seeking an AI Engineer in Stamford, CT for onsite work, focusing on hands‑on GenAI/LLM projects.

You will partner with product, operations and engineering to identify valuable problems and rapidly design, prototype, deploy, and productionize AI solutions tailored to telecom and broadband contexts. The ideal candidate combines strong software engineering with GenAI, RAG, data engineering, cloud, APIs and enterprise knowledge systems.

Formación

• Strong Python programming and GenAI/LLM experience.
• Experience with RAG, embeddings, and semantic search.
• Proficient with LangChain/LangGraph, REST APIs, and microservices.

Responsabilidades

• Understand business and engineering problems with stakeholders and translate them into deployable AI solutions.
• Prototype and productionize GenAI/LLM and agentic AI applications.
• Build RAG-based apps, AI assistants, and enterprise knowledge solutions.
• Develop agentic workflows using LangChain/LangGraph and integrate with enterprise APIs.
• Build backend services using Python, REST APIs, GraphQL, FastAPI, SQL, and microservices.
• Integrate AI with telecom platforms (OSS/BSS, CRM, field-service, operations).
• Work with structured/unstructured data, embeddings, vector databases, and enterprise data sources.
• Implement AI evaluation, observability, guardrails, and hallucination mitigation.
• Deploy containerized apps with Docker/Kubernetes on AWS/Azure/GCP.
• Troubleshoot customer environments and optimize for reliability, latency, and production readiness.
• Collaborate with product and engineering to improve reusable solutions.

Conocimientos

Python

GenAI/LLM development

RAG/embeddings/semantic search

Agentic AI / orchestration

LangChain/LangGraph

REST APIs & microservices

CI/CD & production troubleshooting

Customer-facing communication

Cloud platforms (AWS/Azure/GCP)

Herramientas

LangChain

LangGraph

Docker

Kubernetes

REST APIs

FastAPI

GraphQL

SQL

AWS

Azure

GCP

Descripción del empleo

Job Title: AI Engineer

Location: Stamford, CT - Onsite

Contract

Note: Client is looking for someone with a Telecom background

Job Description

We are looking for a hands‑on AI Engineer who can work closely with product, operations, and engineering teams to identify high-value problems and rapidly design, prototype, deploy, and productionize AI/GenAI solutions.

The ideal candidate combines strong software engineering skills with Generative AI, agentic AI, data engineering, cloud, APIs, and telecom/broadband domain knowledge. The role requires someone comfortable working directly with customer stakeholders and taking solutions from an ambiguous business problem through production deployment.

Key Responsibilities

• Work directly with stakeholders to understand business and engineering problems and translate them into deployable technical solutions.
• Rapidly prototype and productionize GenAI/LLM and agentic AI applications.
• Build RAG-based applications, AI assistants, semantic search, and enterprise knowledge solutions.
• Develop agentic workflows using frameworks such as LangChain/LangGraph and integrate agents with enterprise applications and APIs.
• Build backend services and integrations using Python, REST APIs, GraphQL, FastAPI, SQL and microservices.
• Integrate AI solutions with telecom platforms, including OSS/BSS, CRM, field-service, network/service operations and enterprise knowledge systems.
• Work with structured and unstructured data, embeddings, vector databases and enterprise data sources.
• Implement AI evaluation, observability, guardrails, groundedness checks and hallucination mitigation.
• Deploy containerized applications using Docker/Kubernetes and cloud platforms such as AWS, Azure or GCP.
• Troubleshoot customer-environment issues and optimize solutions for reliability, scalability, latency and production readiness.
• Partner with product and engineering teams and provide feedback from customer deployments to improve reusable solutions.

These areas line up strongly with the FDE-oriented candidate material already being shared with Spectrum, including telecom/broadband operations, GenAI, RAG, LangChain/LangGraph, API integration, vector databases, AI observability and cloud-native deployment.

Required Skills

• Strong hands‑on programming in Python
• GenAI / LLM application development
• RAG, embeddings, vector databases and semantic search
• Agentic AI / agent orchestration
• LangChain and/or LangGraph
• REST APIs, FastAPI, GraphQL and microservices
• SQL and data integration
• AWS, Azure or GCP
• Docker and Kubernetes
• CI/CD and software engineering best practices
• Strong debugging and production troubleshooting skills
• Excellent customer-facing communication and ability to work with ambiguous requirements

Preferred Telecom Experience

• Cable/Broadband/Telecom domain
• OSS/BSS platforms
• Network/service operations
• Field-service applications and workflows
• CRM/customer-care platforms
• Network and operational data
• AI-powered troubleshooting and knowledge assistants

Years of Exp: 8 15+ years of software/data/AI engineering experience, with recent hands‑on experience building production GenAI solutions. The person should be a
builder first, comfortable sitting with the customer, understanding the problem, coding a prototype quickly, and then taking it into production.