{"schemaVersion":"jobsearcher.job.v1","id":"d45b6ebe874d5a53a920c542","url":"https://jobsearcher.com/jobs/d45b6ebe874d5a53a920c542","canonicalUrl":"https://jobsearcher.com/jobs/d45b6ebe874d5a53a920c542","title":"Python Developer with ML - Dallas, TX","description":"We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.\n\nKey Responsibilities:\n\nDesign, develop, and maintain Python frameworks that provide reusable components and structure for applications.\nBuild, train, and deploy robust machine learning and deep learning models using Python and popular frameworks (e.g., PyTorch, TensorFlow).\nArchitect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.\nImplement best practices in software engineering: OOP, design patterns, modular architecture.\nDevelop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and indexing data from various sources (e.g., PDFs, HTML, databases).\nDevelop APIs and SDKs for framework adoption across teams.\nUtilize vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities.\nCollaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).\nEnsure security, reliability, and observability of framework components.\nWrite unit/integration tests and maintain CI/CD pipelines.\nDocument frameworks, APIs, and libraries for developer adoption.\nParticipate in code reviews, mentor junior developers, and contribute to technical design discussions.\n\nRequired Skills & Experience:\n\nStrong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular design.\nProven experience in building frameworks, libraries, or SDKs (not just applications).\nAdvanced proficiency in Python for ML and software development.\nExpertise in design patterns, dependency injection, and plugin-based architectures.\nSolid understanding of ML algorithms, model evaluation techniques, and MLOps practices.\nExperience developing with Large Language Models (LLMs) and advanced Prompt Engineering techniques.\nExperience with FastAPI, Flask, Django or similar web frameworks.\nSolid understanding of APIs (REST, GraphQL) and API gateway integration.\nKnowledge of async programming (asyncio, aiohttp).\nHands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems.\nProficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.\nStrong grasp of security practices (OAuth2, JWT, IAM integration).\nFamiliarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.\nFamiliarity with vector databases for efficient similarity search\n\nNice to Have:\n\nExperience with Agentic AI frameworks (OpenAI SDK, LangChain, LlamaIndex, Google ADK, AutoGen).\nKnowledge of LLM fine-tuning, prompt engineering, and guardrails.\nExposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).\nExperience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).\nContributions to open-source Python frameworks or libraries.\n\nIdeal Candidate:\n\nA framework builder mindset – you enjoy designing systems other developers will use.\nPassionate about AI and automation, eager to experiment with agent-driven architectures.\nA problem-solver with a strong understanding of scalable and secure design principles.\nExcellent communicator with strong documentation and collaboration skills.\n\nQualifications\n\nBachelor’s/Master’s degree in Computer Science, Engineering, or related field.\nStrong track record of building scalable frameworks or platforms in production environments.","company":"Photon","rawCompany":"photon","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:22:55.133Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer with ML - Dallas, TX","description":"We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.\n\nKey Responsibilities:\n\nDesign, develop, and maintain Python frameworks that provide reusable components and structure for applications.\nBuild, train, and deploy robust machine learning and deep learning models using Python and popular frameworks (e.g., PyTorch, TensorFlow).\nArchitect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.\nImplement best practices in software engineering: OOP, design patterns, modular architecture.\nDevelop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and indexing data from various sources (e.g., PDFs, HTML, databases).\nDevelop APIs and SDKs for framework adoption across teams.\nUtilize vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities.\nCollaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).\nEnsure security, reliability, and observability of framework components.\nWrite unit/integration tests and maintain CI/CD pipelines.\nDocument frameworks, APIs, and libraries for developer adoption.\nParticipate in code reviews, mentor junior developers, and contribute to technical design discussions.\n\nRequired Skills & Experience:\n\nStrong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular design.\nProven experience in building frameworks, libraries, or SDKs (not just applications).\nAdvanced proficiency in Python for ML and software development.\nExpertise in design patterns, dependency injection, and plugin-based architectures.\nSolid understanding of ML algorithms, model evaluation techniques, and MLOps practices.\nExperience developing with Large Language Models (LLMs) and advanced Prompt Engineering techniques.\nExperience with FastAPI, Flask, Django or similar web frameworks.\nSolid understanding of APIs (REST, GraphQL) and API gateway integration.\nKnowledge of async programming (asyncio, aiohttp).\nHands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems.\nProficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.\nStrong grasp of security practices (OAuth2, JWT, IAM integration).\nFamiliarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.\nFamiliarity with vector databases for efficient similarity search\n\nNice to Have:\n\nExperience with Agentic AI frameworks (OpenAI SDK, LangChain, LlamaIndex, Google ADK, AutoGen).\nKnowledge of LLM fine-tuning, prompt engineering, and guardrails.\nExposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).\nExperience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).\nContributions to open-source Python frameworks or libraries.\n\nIdeal Candidate:\n\nA framework builder mindset – you enjoy designing systems other developers will use.\nPassionate about AI and automation, eager to experiment with agent-driven architectures.\nA problem-solver with a strong understanding of scalable and secure design principles.\nExcellent communicator with strong documentation and collaboration skills.\n\nQualifications\n\nBachelor’s/Master’s degree in Computer Science, Engineering, or related field.\nStrong track record of building scalable frameworks or platforms in production environments.","datePosted":"2026-08-05T11:22:55.133Z","dateModified":"2026-08-05T11:22:55.133Z","hiringOrganization":{"@type":"Organization","name":"Photon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d45b6ebe874d5a53a920c542"},"url":"https://jobsearcher.com/jobs/d45b6ebe874d5a53a920c542"}}