{"schemaVersion":"jobsearcher.job.v1","id":"818a230da471f2a19b1829af","url":"https://jobsearcher.com/jobs/818a230da471f2a19b1829af","canonicalUrl":"https://jobsearcher.com/jobs/818a230da471f2a19b1829af","title":"Generative AI Engineer - telecom","description":"Generative AI EngineerPlano, TX (hybrid- 3 days per week in their Plano, TX office).LOCAL CANDIDATES ONLY PLEASE -Candidates must reside local to the Dallas area. The client is not accepting candidates willing to relocate6+ Months (PTE)No H1B and CPTTelecommunicationThe final interview is a mandatory interview in Plano TX.Responsibilities:Provide hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.Provide LLM fine tuningPrompt Engineering: Design, test, and optimize prompts for generative models to achieve desired outputs.Graph-Based Workflow Design: Architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.API Development & Integration: Integrate external APIs, tools, and data sources into AI-driven workflows.Productionize AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditabilityRequired Skills:In-depth understanding and practical experience with Large Language Models (LLMs) such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure CloudAdvanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-21T03:20:09.182Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1241.01","title":"Telecommunications Engineering Specialists","slug":"telecommunications-engineering-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Generative AI Engineer - telecom","description":"Generative AI EngineerPlano, TX (hybrid- 3 days per week in their Plano, TX office).LOCAL CANDIDATES ONLY PLEASE -Candidates must reside local to the Dallas area. The client is not accepting candidates willing to relocate6+ Months (PTE)No H1B and CPTTelecommunicationThe final interview is a mandatory interview in Plano TX.Responsibilities:Provide hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.Provide LLM fine tuningPrompt Engineering: Design, test, and optimize prompts for generative models to achieve desired outputs.Graph-Based Workflow Design: Architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.API Development & Integration: Integrate external APIs, tools, and data sources into AI-driven workflows.Productionize AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditabilityRequired Skills:In-depth understanding and practical experience with Large Language Models (LLMs) such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure CloudAdvanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.","datePosted":"2026-05-21T03:20:09.182Z","dateModified":"2026-05-21T03:20:09.182Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"818a230da471f2a19b1829af"},"url":"https://jobsearcher.com/jobs/818a230da471f2a19b1829af"}}