Job Overview


Job Overview

  • Job ID:

    3620

  • Job Title:

    Backend Engineer - Python

  • Location:

    Dallas, TX

  • Duration:

    6 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

Role: Backend Engineer - Python
Bill Rate: $66/hour C2C
Location: Dallas, TX
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Teams
Direct Client Requirement

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.

NOTE: Thank you for visiting our jobs page. Please submit your application using the Apply Now link. Our recruitment team is currently reviewing all applications thoroughly. We will be in touch with candidates who are shortlisted for the next stage of the interview process.

Valiant Technologies LLC
166 Geary St
San Francisco, CA 94108
Phone: (415) 935-9966
srinivasa.kandi@valianttec.com

Tags: Srinivasa Reddy Kandi, #SrinivasaReddyKandi, @SrinivasaReddyKandi, Srinivasa Kandi, #SrinivasaKandi, @SrinivasaKandi, Kandi Srinivasa Reddy, #KandiSrinivasaReddy, @KandiSrinivasaReddy 



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Equal Opportunity Employer

We 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 based on 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.