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Senior Backend Python Jobs in Delaware (NOW HIRING)

Photon

Python Developer | Wilmington/New York, US

Wilmington, DE · On-site

$48.75 - $67.25/hr

Position Summary The Senior AI Engineer, Agentic Systems ( Python/React/AWS/AI) will design, build ... Engineer reliable backend services for agentic workloads, with emphasis on Python-based development ...

Photon

Python Developer | Wilmington/New York, US

Wilmington, DE · On-site

$48.75 - $67.25/hr

Position Summary The Senior AI Engineer, Agentic Systems ( Python/React/AWS/AI) will design, build ... Engineer reliable backend services for agentic workloads, with emphasis on Python-based development ...

Ampcus Inc

Sr. Software Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Responsibilities : • Develop and maintain backend services using Java and Python. • Design and implement cloud-native applications on AWS. • Collaborate with cross-functional teams to define ...

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... backend development with Python ANDJavascript * 2+ years designing, coding (in Python), and ...

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Senior Backend Python information

What does a senior backend Python developer do?

A Senior Backend Python Developer designs, builds, and maintains the server-side logic of web applications using Python. They are responsible for creating robust APIs, optimizing databases, ensuring application security, and integrating third-party services. In addition, they often mentor junior developers, contribute to architectural decisions, and collaborate closely with frontend and DevOps teams. Their work ensures that applications are scalable, reliable, and efficient. Senior developers typically have several years of experience and deep knowledge of Python frameworks like Django or Flask.

What are the key skills and qualifications needed to thrive as a senior backend Python developer?

To thrive as a Senior Backend Python Developer, you need expertise in Python programming, strong knowledge of backend frameworks (such as Django or Flask), and experience with database management, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, containerization tools like Docker, cloud platforms (e.g., AWS), and possibly certifications in cloud or Python technologies are common requirements. Outstanding problem-solving skills, effective communication, and the ability to mentor junior developers help set top performers apart. These competencies ensure the development of robust, scalable, and maintainable backend systems that support business objectives.

What are some common challenges senior backend Python developers face when working on large-scale systems?

Senior Backend Python developers working on large-scale systems often encounter challenges such as ensuring application scalability, maintaining code quality across distributed teams, and optimizing performance for high traffic. Balancing the integration of new features with legacy system constraints can also be demanding. Effective communication and collaboration with frontend teams, DevOps, and product managers are crucial for delivering reliable and maintainable backend solutions.

What is the difference between Senior Backend Python vs Backend Developer?

AspectSenior Backend PythonBackend Developer
Required CredentialsBachelor's in CS or related, 5+ years experience, Python expertiseBachelor's in CS or related, 2-4 years experience, Python knowledge
Work EnvironmentTech companies, startups, enterprise systemsTech firms, startups, software agencies
Employer & Industry UsageUsed across industries requiring scalable backend solutionsCommon in web development and software services
Search & Comparison IntentUnderstanding senior roles, responsibilities, salaryEntry to mid-level backend roles, skill requirements

Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.

What cities in Delaware are hiring for Senior Backend Python jobs?

Cities in Delaware with the most Senior Backend Python job openings:

Senior Backend Python jobs near you

Python Developer | Wilmington/New York, US

Wilmington, DE • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

$48.75 - $67.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description


Position Summary
The Senior AI Engineer, Agentic Systems (Python/React/AWS/AI) will design, build, deploy, and operate production-grade agentic AI systems that support enterprise-scale use cases. The role emphasizes shipped production experience, system reliability, orchestration, monitoring, debugging, and the ability to expose enterprise capabilities as tools or skills for LLM-powered agents.
Core Responsibilities
  • Build and operate production agentic AI systems, including deployed, monitored, and debugged agents running at scale.

  • Own agentic use cases end-to-end, partnering directly with business stakeholders from problem definition through delivery and operational support.

  • Design orchestration patterns for autonomous or semi-autonomous agents using modern agent frameworks and production orchestration layers.

  • Develop enterprise capabilities as tools or skills for LLMs, enabling agents to interact with business systems and workflows in a controlled, scalable way.

  • Engineer reliable backend services for agentic workloads, with emphasis on Python-based development and integration with Java service layers where required.

  • Implement and support production infrastructure for AI workloads, including environments where Kubernetes and model-serving components such as vLLM may be part of the stack.

  • Evaluate and communicate system failure modes, including the ability to walk through shipped systems, operational issues, debugging approaches, and mitigation strategies.

  • Collaborate with vendor, engineering, and business teams to deliver solutions with limited ramp-up time, consistent with expectations for senior contract engineering talent.

  • Maintain a production-first engineering standard, ensuring the role does not over-index on framework familiarity at the expense of real deployment experience.

Required Qualifications
  • 7+ years of software engineering experience, with demonstrated experience building and shipping production systems.

  • Hands-on production experience with agentic AI or GenAI applications, including deployment, monitoring, debugging, and operating agents at scale.

  • Comfortable in a senior contract delivery model where the expectation is faster delivery and limited ramp-up investment.

  • Core expectations (must have exposure across all):

  • Software engineering: Proficiency in Python (preferred) or Java, with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability).

  • Cloud engineering: Working knowledge of at least one public cloud provider-AWS preferred-including hands-on familiarity with deploying/running services, IAM/security basics, logging/monitoring, and common managed services.

  • AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration patterns, basic ML lifecycle understanding, evaluation basics), sufficient to ramp into agent development with minimal hand-holding.

  • Preferred experience (strong differentiators):

  • Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations.

  • Familiarity with advanced agent architecture concepts such as memory, guardrails/assurance, and MCP (Model Context Protocol) or similar patterns for tool interoperability.

  • Experience with conversational/agent frameworks or platforms, such as LangGraph, CrewAI, Rasa, Decagon, or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

Preferred Qualifications
  • Experience with LangGraph as a production orchestration layer.

  • Experience with vLLM or comparable model-serving infrastructure.

  • Experience in regulated-industry or financial-services technology environments, especially where enterprise scale and production-path stakes are important.

  • Experience working with business stakeholders to deliver end-to-end AI use cases, not only platform or prototype work.

  • Ability to operate in an onsite or hybrid delivery model, especially in a market such as NYC where the attachment notes a deeper finance-AI contractor pool.

  • Position the role as a senior contract role with a production-delivery bar, not as an entry-level GenAI experimentation role.

  • A 12-month engagement is reasonable for senior contractors, though onsite expectations may narrow the candidate pool.

  • If submissions are limited, relax requirements in this order: Java first, onsite days second, and do not relax the production-experience bar.

Suggested Must-Have Screening Criteria
  • Can clearly describe at least one agentic AI system they personally helped ship to production.

  • Can explain failure modes, monitoring, debugging, and operational lessons learned from a shipped system.

  • Has strong Python capability and either strong Java experience or willingness to work daily with a Java service layer.

  • Has practical experience with LangChain, LangGraph, Kubernetes, or comparable production AI infrastructure.

  • Demonstrates ability to own use cases end-to-end with business stakeholders.

Recommended Positioning Language for the Job Description
We are seeking a Senior AI Engineer, Agentic Systems to design, build, and operate production-grade agentic AI solutions for enterprise-scale use cases. This role requires hands-on experience shipping AI systems into production, operating them reliably, debugging real-world failure modes, and exposing enterprise capabilities as tools or skills for LLM-powered agents. The ideal candidate combines strong Python engineering, practical agent orchestration experience, and the ability to partner with business stakeholders to own use cases from concept through production delivery.
Compensation, Benefits and Duration
Minimum Compensation: USD 42,000
Maximum Compensation: USD 147,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.

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