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MABASA / INDEED

Forward Deployed Engineer (FDE) – AI/GenAI & Telecom

signitives IT Solutions

Location
Stamford, TX, USA
Work type
contract
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert
Advertised salary
USD 65-70

Job description from the source

Job Title: Forward Deployed Engineer (FDE) – AI/GenAI & Telecom Location: Stamford, CT Experience: 10–15+ Years **Key Responsibilities** * Work with business, product, operations, and engineering teams to identify technical challenges and deliver practical AI solutions. * Design and deploy GenAI/LLM applications, RAG pipelines, semantic search, and enterprise AI assistants. * Develop agentic workflows using LangChain, LangGraph, or similar frameworks. * Build backend services and integrations using Python, FastAPI, REST APIs, GraphQL, SQL, and microservices. * Integrate AI solutions with enterprise applications, knowledge systems, operational platforms, and APIs. * Implement embeddings, vector databases, retrieval optimization, LLM evaluation, guardrails, and observability. * Deploy containerized applications using Docker, Kubernetes, and AWS, Azure, or GCP. * Troubleshoot production issues and optimize application reliability, performance, scalability, and cost. * Collaborate with product and engineering teams to improve reusable AI capabilities based on deployment feedback. **Required Skills** * Strong hands-on Python programming and software engineering experience. * Recent experience building and deploying production GenAI/LLM applications. * RAG, embeddings, vector databases, document retrieval, and semantic search. * Agentic AI and orchestration using LangChain and/or LangGraph. * FastAPI, REST APIs, GraphQL, SQL, and microservices. * Cloud experience with AWS, Azure, or GCP. * Docker, Kubernetes, CI/CD, monitoring, and production troubleshooting. * Strong analytical, communication, and customer-facing problem-solving skills. **Preferred Skills** * Telecom, cable, or broadband industry experience. * Familiarity with OSS/BSS, CRM, customer-care, network operations, and field-service platforms. * Experience developing AI-powered troubleshooting, operational automation, or enterprise knowledge assistants. Pay: $65.00 - $70.00 per hour Application Question(s): * How many years of experience do you have? Work Location: In person

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