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Senior Python Engineer Jobs in Erlanger, KY (NOW HIRING)

US Bank

Senior AI Platform Engineer

Cincinnati, OH · On-site

$53 - $68.25/hr

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and ... Develop scalable applications using Python and microservices-based architectures * Apply secure ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

System One

Sr. Site Reliability Engineer

Cincinnati, OH · On-site

$54.75 - $72.75/hr

Senior Site Reliability Engineer (SRE) Location: Cincinnati, OH (Hybrid - 3 days onsite/week) Type ... Scripting/programming proficiency in Python, Go, Bash, or PowerShell . * Production experience with ...

Hyliion

Senior Engineer, Systems Engineering

Cincinnati, OH · On-site

$100K - $137K/yr

Job Purpose The Senior Systems Engineer is a key technical leader responsible for the high-level ... Proficiency with MATLAB, Python, Excel, or similar tools for system modeling to support ...

CBTS

Sr Lead Network Engineer

Cincinnati, OH · On-site

$99K - $136K/yr

The Sr, Lead Network Engineer is a senior technical engineer and Prisma subject-matter expert ... APIs, Python, Ansible, or Terraform (preferred) * Improve observability through: * Prisma ...

Total Quality Logistics

Senior IAM Engineer

Cincinnati, OH · On-site

$109K - $150K/yr

The Senior IAM Engineer is a senior individual contributor responsible for designing, implementing ... Java, C#, Python) or scripting (PowerShell) experience required. * 2 years working with a ...

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Showing results 21-40

All JobsPython Engineer JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Erlanger, KY

Senior Python Engineer information

See Erlanger, KY salary details

$54.2K

$140K

$192.3K

How much do senior python engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior python engineer in Erlanger, KY is $139,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the key skills and qualifications needed to thrive as a senior Python engineer, and why are they important?

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.

What job categories do people searching Senior Python Engineer jobs in Erlanger, KY look for?

The top searched job categories for Senior Python Engineer jobs in Erlanger, KY are:

What cities near Erlanger, KY are hiring for Senior Python Engineer jobs?

Cities near Erlanger, KY with the most Senior Python Engineer job openings:

Senior Python Engineer jobs near you
Infographic showing various Senior Python Engineer job openings in Erlanger, KY as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $139,980 per year, or $67.3 per hour.

Senior AI Engineer - Agentic AI Platform

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 8 days ago

Job description

Role Overview
We are seeking a Senior AI Engineer - Agentic AI Platform to design and build enterprise-scale Agentic AI platforms that enable multiple business domains to develop, deploy, monitor, govern, and operate autonomous AI agents.
This role requires strong hands-on experience in Agentic AI, multi-agent orchestration, AI platform architecture, model governance, memory management, observability, cost attribution, and cloud-native AI solutions.
The ideal candidate will have production experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, Python, Azure, vector databases, API gateways, and enterprise AI engineering practices.
Key Responsibilities
Agentic AI Development
  • Design and develop sophisticated multi-agent AI systems for enterprise use cases.
  • Build autonomous and semi-autonomous AI workflows.
  • Implement Supervisor-Worker, Sequential, ReAct, Planner-Executor, Writer-Critic, orchestration, and choreography patterns.
  • Develop scalable agent communication and execution frameworks.
  • Build closed-loop workflows with validation, retry, evaluation, and feedback mechanisms.

Enterprise AI Platform Engineering
  • Build reusable AI platform capabilities for multiple business teams.
  • Design enterprise AI governance and operational controls.
  • Develop API-driven AI services supporting rate limiting, quota management, authentication, authorization, audit logging, multi-tenant usage tracking, and cost attribution.
  • Establish agent onboarding and lifecycle management capabilities.

Multi-Agent Orchestration
  • Design agent communication using direct calls, event-driven architectures, message queues, and publish-subscribe patterns.
  • Implement orchestration and choreography-based execution models.
  • Work with Kafka, Azure Service Bus, Azure Durable Functions, and event-driven workflows.

AI Memory & Knowledge Systems
  • Design short-term and long-term AI memory architectures.
  • Implement vector databases, semantic caching, conversation memory, agent state persistence, and RAG.
  • Build knowledge orchestration frameworks supporting agent collaboration.

Ontology & Knowledge Graphs
  • Work with graph databases and enterprise knowledge models.
  • Support ontology-driven AI applications.
  • Build knowledge graphs for relationship-based reasoning.
  • Integrate structured, unstructured, and graph-based knowledge sources.

AI Governance & FinOps
  • Implement AI consumption governance across business domains.
  • Track token usage, model consumption, API utilization, and operational costs.
  • Develop chargeback/showback mechanisms.
  • Support AI FinOps reporting and capacity planning.

Reliability & Observability
  • Design observability frameworks for AI applications.
  • Monitor agent execution, tool usage, latency, hallucinations, failure rates, and model quality.
  • Build dashboards and operational metrics for AI workloads.

Responsible AI & Security
  • Implement guardrails, safety controls, prompt protection, data masking, PII protection, and human-in-the-loop validation.
  • Ensure compliance with enterprise security and governance requirements.
  • Build secure Agentic AI systems handling sensitive business data.

AI Evaluation & Optimization
  • Develop agent and tool evaluation frameworks.
  • Measure response quality and detect hallucinations.
  • Implement closed-loop evaluation mechanisms.
  • Apply context engineering, prompt engineering, retrieval optimization, agent tuning, and AI benchmarking.

Mandatory Qualifications
  • 8-10 years of software engineering or platform engineering experience.
  • 3+ years of hands-on AI/ML or Generative AI experience.
  • Production experience building enterprise-scale AI applications.
  • Strong experience designing AI architectures and platforms, not only individual AI applications.
  • Hands-on experience with Agentic AI / AI Agents.
  • Strong experience with Azure.
  • Hands-on experience with Azure AI Foundry.
  • Hands-on experience with Azure OpenAI.
  • Strong experience with LangChain and/or LangGraph.
  • Strong Python development experience.
  • Experience with multi-agent orchestration and agentic workflow patterns.
  • Experience with RAG, vector databases, AI memory, and agent state management.
  • Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
  • Experience with event-driven architectures and messaging systems.
  • Experience with AI monitoring, observability, governance, and cost/token usage tracking.
  • Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
  • Experience with SQL.
  • Experience designing scalable, secure, and governed AI platforms.

Desirable Skills
  • Semantic Kernel
  • Model Context Protocol (MCP)
  • C# / .NET
  • Kafka
  • Azure Service Bus
  • Azure Event Grid
  • Azure Durable Functions
  • Neo4j, Stardog, Amazon Neptune, or other graph databases
  • Enterprise knowledge graphs
  • Ontology-driven AI solutions
  • AI FinOps and chargeback/showback
  • Responsible AI frameworks
  • AI evaluation and benchmarking
  • AWS or GCP
  • Experience in healthcare, financial services, insurance, or other regulated industries

Mandatory Qualifications
  • 8-10 years of software engineering or platform engineering experience.
  • 3+ years of hands-on AI/ML or Generative AI experience.
  • Production experience building enterprise-scale AI applications.
  • Strong experience designing AI architectures and platforms, not only individual AI applications.
  • Hands-on experience with Agentic AI / AI Agents.
  • Strong experience with Azure.
  • Hands-on experience with Azure AI Foundry.
  • Hands-on experience with Azure OpenAI.
  • Strong experience with LangChain and/or LangGraph.
  • Strong Python development experience.
  • Experience with multi-agent orchestration and agentic workflow patterns.
  • Experience with RAG, vector databases, AI memory, and agent state management.
  • Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
  • Experience with event-driven architectures and messaging systems.
  • Experience with AI monitoring, observability, governance, and cost/token usage tracking.
  • Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
  • Experience with SQL.
  • Experience designing scalable, secure, and governed AI platforms.

Desirable Skills
  • Semantic Kernel
  • Model Context Protocol (MCP)
  • C# / .NET
  • Kafka
  • Azure Service Bus
  • Azure Event Grid
  • Azure Durable Functions
  • Neo4j, Stardog, Amazon Neptune, or other graph databases
  • Enterprise knowledge graphs
  • Ontology-driven AI solutions
  • AI FinOps and chargeback/showback
  • Responsible AI frameworks
  • AI evaluation and benchmarking
  • AWS or GCP
  • Experience in healthcare, financial services, insurance, or other regulated industries

Apply