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Sr Python Engineer Jobs in North Carolina (NOW HIRING)

VELOCITOR SOLUTIONS

AI Engineer- NLP

Charlotte, NC

Mid to senior About the role V-Assistant is a conversational AI system running in production on ... Python 3.12, FastAPI, Pydantic v2, SQLAlchemy 2 with Alembic, async psycopg/asyncpg, LangChain and ...

DevCare Solutions

Python Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

Strong hands on experience with Python Proficiency with Power BI Strong SQL skills and experience working with relational databases (SQL Server, PostgreSQL, Oracle, MySQL, Ingres) • Senior level ...

New

Booz Allen Hamilton

DevSecOps Platform Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior DevSecOps Platform Engineer, you will design, deploy, and troubleshoot containerized ... Experience with Linux administration, including RHEL or Ubuntu, scripting with Python and Bash, AWS ...

Booz Allen Hamilton

DevSecOps Platform Engineer

Fayetteville, NC · On-site

$77.50 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior DevSecOps Platform Engineer, you will design, deploy, and troubleshoot containerized ... Experience with Linux administration, including RHEL or Ubuntu, scripting with Python and Bash, AWS ...

Veeva Systems, Inc.

Senior Software Engineer - Python

Raleigh, NC · On-site

$110 - $270/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role As Senior Software Engineer for a new product within Veeva, you will be a founding member ... Python development required). * Enterprise SaaS Leader: Extensive experience developing ...

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Showing results 41-60

All JobsSr Python Engineer JobsSr Python Engineer Jobs in North Carolina

Sr Python Engineer information

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What are popular job titles related to Sr Python Engineer jobs in North Carolina?

For Sr Python Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Sr Python Engineer jobs in North Carolina look for?

The top searched job categories for Sr Python Engineer jobs in North Carolina are:

Sr Python Engineer jobs near you
Infographic showing various Sr Python Engineer job openings in North Carolina as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior GenAI Engineer - Google ADK / Gemini

Alfvo, LLC

Charlotte, NC • On-site

$118K - $159K/yr

Other

Posted 2 days ago

New

Job description

Job Overview

We are seeking a highly skilled Google ADK GenAI Developer with 12+ years of software engineering experience and strong expertise in Generative AI, Python, Google Agent Development Kit (ADK), Google Gemini, and Vertex AI.

The ideal candidate will have hands-on experience designing and developing AI agents, multi-agent systems, RAG solutions, and enterprise GenAI applications using Google Cloud technologies. This role will focus on building scalable, secure, and production-ready AI solutions integrated with enterprise applications and data sources.

Key Responsibilities
  • Design, develop, and deploy AI agents and multi-agent systems using Google ADK.
  • Build enterprise GenAI applications using Google Gemini, Vertex AI, Python, and LLM technologies.
  • Develop agent workflows, tool integrations, function calling, and autonomous decision-making capabilities.
  • Design and implement RAG architectures using vector databases and enterprise knowledge sources.
  • Integrate AI agents with REST APIs, databases, enterprise applications, and cloud services.
  • Develop scalable microservices and cloud-native AI solutions.
  • Implement AI governance, security, observability, monitoring, and responsible AI practices.
  • Optimize LLM and agent performance for latency, scalability, reliability, and cost efficiency.
  • Collaborate with architects, product owners, data engineers, and business stakeholders.
  • Lead technical design discussions and mentor development teams on GenAI and agentic AI best practices.
Required Skills
  • 12+ years of software development / engineering experience.
  • Strong hands-on Python development experience.
  • Hands-on experience with Google Agent Development Kit (ADK).
  • Strong experience with Google Gemini and Vertex AI.
  • Experience building AI Agents, Agentic AI, and Multi-Agent Systems.
  • Strong knowledge of Generative AI, LLMs, Prompt Engineering, and RAG.
  • Experience with function calling, tool calling, and agent orchestration.
  • Experience with LangChain, LangGraph, MCP, AutoGen, or similar agent frameworks.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search.
  • Strong understanding of REST APIs, microservices, and event-driven architectures.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Experience with Docker, Kubernetes, CI/CD, and cloud-native development.
  • Experience with SQL/NoSQL databases and enterprise integration patterns.
Preferred Skills
  • Experience with AgentOps, LLM evaluation, AI observability, and monitoring.
  • Knowledge of MLOps and AI model deployment.
  • Experience with AI governance, responsible AI, security, and compliance.
  • Google Cloud certifications.
  • Experience working in Banking, Financial Services, Healthcare, or large enterprise environments.
  • Knowledge of Neo4j, graph databases, and knowledge graphs.
  • Experience with multimodal AI and AI-driven workflow automation.
Nice to Have
  • Experience with Devin AI, Claude Code, GitHub Copilot, or similar AI-assisted development tools.
  • Experience with advanced AI reasoning and agent orchestration frameworks.
  • Experience building enterprise-grade AI automation solutions.

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