Senior Full Stack Developer

OP; Celebration (FL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

401(k)

Dental Insurance

Health insurance

Vision insurance

Job summary

A technology consulting company is seeking a Senior Full Stack Developer to architect and deliver a scalable API platform for integrating large language models. You will collaborate with cross-functional teams to optimize API performance and develop full-stack applications. The ideal candidate has over 10 years in development, extensive Python expertise, and experience with AI/ML solutions. Benefits include health insurance and a 401(k).

Qualifications

• 10+ years in full-stack development with Python and RESTful APIs.
• 5+ years building AI/ML solutions, including LLM integration.
• Experience with cloud platforms and containerization.

Responsibilities

• Design and build a unified API platform for LLM integration.
• Collaborate with teams to deliver high-quality solutions.
• Optimize API latency and reliability across cloud environments.

Skills

Full-stack development

Python

RESTful APIs

AI/ML solutions

TypeScript

Agile methodology

Education

BA in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Jira

Git

Job description

Overview

As AI continues to transform the enterprise landscape, the ability to seamlessly integrate powerful language models into applications is critical. We are looking for a dynamic Senior Full Stack Developer to architect and deliver a scalable API platform that abstracts foundational LLMs like Gemini, DeepAI, and AWS Bedrock. This role empowers cross-functional teams with innovative AI tools, streamlining integration and driving impactful solutions across the organization.

Responsibilities

• AI Platform Development
  • Design and build a unified API platform to abstract LLM providers (e.g., Gemini, OpenAI, AWS Bedrock), ensuring seamless integration, scalability, and backward compatibility.
  • Develop full-stack applications (frontend, backend, APIs) that democratize LLM access for internal developers, prioritizing ease of use and security.
  • Implement monitoring, analytics, and governance tools to track API performance, usage metrics, and compliance with ethical AI standards.
• Technical Execution
  • Collaborate with cross-functional teams to translate business needs into technical requirements and deliver high-quality solutions.
  • Optimize API latency, cost, and reliability across hybrid-cloud environments (AWS, Azure, GCP).
  • Stay ahead of LLM advancements (e.g., RAG, agent frameworks) and evaluate their applicability to the ecosystem.
  • Identify reusability and contribute to the customer SDK and libraries.
  • Write Technical Documentation for end users and other engineers.
  • Triage issues and provide solutions.
  • Code reviews, Unit testing.
• Agile Delivery
  • Work within enterprise Agile frameworks, leveraging tools like Jira for task management and sprint planning.
  • Contribute to CI/CD pipelines using Git, Nexus, PyPI, and Harness, and cloud-native deployment workflows.

Basic Qualifications

• 10+ years in full-stack development with Python and RESTful APIs.
• 5+ years building AI/ML solutions, including LLM integration (e.g., OpenAI, Vertex AI) and orchestration tools (e.g., LangChain, Semantic kernel).
• Experience integrating databases into applications for AI/LLM use.
• Familiarity with TypeScript, React/Node.js, Angular, etc.
• Ability to create and implement spike stories in Jupyter Notebooks.
• Expertise in cloud platforms (AWS, Azure, GCP) and containerization (Docker/Kubernetes).
• Proficiency with databases such as MongoDB, Vector Databases, and Snowflake.
• Experience in a collaborative Git environment with PRs, forking, merging, and building applications using Git, Terraform, and Harness.
• Experience in enterprise Agile environments with Jira.
• Unit testing with Pytest.

Preferred Qualifications

• Track record delivering enterprise-scale API platforms that abstract complex systems.
• Familiarity with LLM ops (prompt engineering, RAG, caching strategies) and monitoring tools.
• Contributions to open-source AI/ML or developer tools projects.
• Experience with observability frameworks (OpenTelemetry, AppDynamics, Splunk).
• UI experience is a plus.

Required Education

• BA in Computer Science, Engineering, or related field, or equivalent experience.

Benefits

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on factors including location, education, qualifications, experience, and skills.

About Us

OP is a technology consulting and solutions company offering advisory and managed services, innovative platforms, and staffing solutions across AI, cybersecurity, enterprise architecture, and beyond. We value dynamic, creative thinkers who are passionate about quality work and continuous learning.