AI Engineer

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.