{"schemaVersion":"jobsearcher.job.v1","id":"9c7c0419af134eb0313477d3","url":"https://jobsearcher.com/jobs/9c7c0419af134eb0313477d3","canonicalUrl":"https://jobsearcher.com/jobs/9c7c0419af134eb0313477d3","title":"Python Lead with AI","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53682Job Title:Python Lead with AILocation:Dallas, TXDuration:12 Months + ExtensionDomain Exposure:GovernmentWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsPython Developer - Atlanta, GAPython FullStack Developer - Menlo Park, CAAI Developer with Python - Wilmington, DEPython Developer - Richmond, VAPython Developer - Los Angeles, CAJob Description 10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise. Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle. Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring. Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers. Proficiency designing and consuming RESTful APIs and building scalable backend services. Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker). Solid grounding with version control (Git) and CI/CD workflows. Strong communication skills and the ability to work across engineering, data, and product teams. Preferred Qualifications Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks). Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval. Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores. Experience with Kubernetes and infrastructure-as-code. Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems. Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow). Core Tech Stack: Python FastAPI / Flask LLM & Agentic frameworks Vector databases Docker CI/CD Cloud (AWS / GCP / Azure) MLOps/LLMOps tooling Apply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-04T09:35:28.391Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"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":"Python Lead with AI","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53682Job Title:Python Lead with AILocation:Dallas, TXDuration:12 Months + ExtensionDomain Exposure:GovernmentWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsPython Developer - Atlanta, GAPython FullStack Developer - Menlo Park, CAAI Developer with Python - Wilmington, DEPython Developer - Richmond, VAPython Developer - Los Angeles, CAJob Description 10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise. Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle. Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring. Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers. Proficiency designing and consuming RESTful APIs and building scalable backend services. Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker). Solid grounding with version control (Git) and CI/CD workflows. Strong communication skills and the ability to work across engineering, data, and product teams. Preferred Qualifications Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks). Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval. Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores. Experience with Kubernetes and infrastructure-as-code. Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems. Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow). Core Tech Stack: Python FastAPI / Flask LLM & Agentic frameworks Vector databases Docker CI/CD Cloud (AWS / GCP / Azure) MLOps/LLMOps tooling Apply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","datePosted":"2026-11-04T09:35:28.391Z","dateModified":"2026-11-04T09:35:28.391Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9c7c0419af134eb0313477d3"},"url":"https://jobsearcher.com/jobs/9c7c0419af134eb0313477d3"}}