Backend Engineer - Python

HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J52785Job Title:Backend Engineer - PythonLocation:DALLAS, TXDuration:21 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work 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 JobsBackend .NET Developer - Nashville, TNJava Backend Engineer - New York, NYSenior Java Backend Developer - McLean, VABackend .Net Developer - Fremont, CABackend Developer – Python - Plano, TXFull Job DescriptionKey ResponsibilitiesAgent Logic & Tooling: Develop and maintain the backend "tools" (APIs, scrapers, database connectors) that AI agents use to perform tasks.Orchestration Implementation: Use frameworks like LangChain, LangGraph, or CrewAI to implement complex reasoning chains and multi-agent coordination.RAG Pipeline Engineering: Build and optimize data ingestion and retrieval systems using Vector Databases , ensuring the agent has the right context at the right time.Asynchronous Task Management: Manage long-running AI reasoning cycles using asynchronous Python (FastAPI/Asyncio) and task queues like Celery or Redis.API Architecture: Design and implement secure, high-performance REST or GraphQL APIs that serve as the interface between the agentic backend and the frontend.Safety & Guardrails: Implement backend-level validation and guardrails to ensure that autonomous agent actions remain within secure and ethical boundaries.Technical RequirementsPython Expertise: 8+ years of professional experience with Python , specifically with FastAPI, Pydantic, and Asyncio .AI Frameworks: Hands-on experience with LangChain or LlamaIndex .Database Management: Proficiency in PostgreSQL and experience with Vector Databases .Cloud & DevOps: Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.Scalability: Understanding of distributed systems and how to handle the high latency and compute requirements of LLM-based applications.Version Control: Mastery of Git and CI/CD best practices.Preferred QualificationsKnowledge of Prompt Engineering from a programmatic perspective (dynamic prompt templating).Familiarity with observability tools for AI, such as LangSmith or Arize Phoenix .Apply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.