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    Job · 22245635

    machine learning technologies llc logo

    Backend Engineer - Python

    machine learning technologies llc · Not specified · onsite · Posted today

    Not disclosed8–10 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

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    Job Description

    Job Overview

    • Job ID:

    J52785

    • Job Title:

    Backend Engineer - Python

    • Location:

    DALLAS, TX

    • Duration:

    21 Months + Extension

    • Hourly Rate:

    Depending on Experience (DOE)

    • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,

    H4-EAD, L2-EAD, GC-EAD

    • Client:

    To Be Discussed Later

    • Employment Type:

    W-2, 1099, C2C

    View All Jobs

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    Full Job Description

    Key Responsibilities

    • Agent 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 Requirements

    • Python 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 Qualifications

    • Knowledge of Prompt Engineering from a programmatic perspective (dynamic prompt templating).
    • Familiarity with observability tools for AI, such as LangSmith or Arize Phoenix .

    Apply Now

    Equal Opportunity Employer

    MACHINE 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 contract

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    © 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.

    Sourced from foundit

    Skills

    DockerKubernetesPostgresqlgoogle cloud platformamazon web servicesvector databasesPydanticasyncioPythonMicrosoft AzureLangchainLlamaindexGITCi/CdFastAPI

    Backend Engineer - Python · waiting for your command