Full Stack Python Engineer

Our organization develops data and AI-enabled products that help better our products while reducing cost and complexity., Full Stack Product Development

• Design, build, test, deploy, and support software features across front-end, backend, API, and data layers.
• Develop modern web applications using technologies such as React.
• Build backend services and APIs using Python and related technologies.
• Design and maintain relational data models using technologies such as PostgreSQL.
• Develop scalable, reliable, and maintainable applications within Google Cloud Platform (Google Cloud Platform).
• Take ownership of features throughout the complete software development lifecycle.
• Transform prototypes and proofs of concept into secure, reliable, production-ready software.

AI & LLM Integration

• Use AI-assisted development tools as part of day-to-day software engineering.
• Build and integrate AI and LLM-powered capabilities into production applications.
• Develop AI features with appropriate guardrails, evaluation, observability, and human oversight.
• Evaluate emerging AI technologies and determine how they can solve practical business and engineering problems.
• Where applicable, develop solutions involving agent frameworks, MCP, retrieval-augmented generation (RAG), and LLM evaluation.

Architecture & Engineering Practices

• Contribute to application architecture, data models, API design, integrations, and technical design decisions.
• Evaluate technical trade-offs and recommend solutions that balance speed, maintainability, security, and scalability.
• Write automated tests and participate in peer code reviews.
• Apply modern CI/CD, security, and observability practices.
• Identify technical debt, quality concerns, and engineering risks early and recommend practical solutions.
• Integrate applications with existing engineering tools, enterprise data sources, and legacy systems.

Product & Business Collaboration

• Partner closely with Product Managers, Technical Program Managers, engineers, data scientists, designers, and business stakeholders.
• Spend time with engineers and business users to understand their workflows and identify opportunities to improve products.
• Translate user problems and business requirements into effective technical solutions.
• Communicate technical decisions, trade-offs, risks, and progress clearly to both technical and nontechnical stakeholders.
• Use customer feedback and measurable outcomes to continuously improve products.

Team Collaboration

• Share technical knowledge and engineering best practices across the team.
• Participate in pairing and collaborative development activities.
• Support and mentor less-experienced engineers, including vendor team members.
• Proactively identify opportunities and take ownership of solving problems without requiring detailed direction.

The ideal candidate has strong full-stack development experience across React, Python, relational databases, APIs, and Google Cloud Platform (Google Cloud Platform), along with hands-on experience using AI development tools and an interest in building production-ready LLM and AI-enabled features., * Bachelor’s Degree in Computer Science, Engineering, or a related technical field.

• 5+ years of professional software engineering experience, preferably within product-oriented teams.
• Demonstrated experience building and releasing production applications used by real users.
• Strong full-stack software engineering experience.
• Hands-on experience with:
• React
• Python
• Google Cloud Platform (Google Cloud Platform)
• REST APIs
• Relational databases such as PostgreSQL
• Strong understanding of data modeling and API design.
• Experience with automated testing, CI/CD, code review, security, and production support.
• Hands-on experience using AI-assisted coding tools.
• Experience or demonstrated interest in developing LLM or AI-enabled application features.
• Experience working within Agile software development environments.
• Strong communication and collaboration skills.
• Ability to work effectively in an environment with evolving priorities and requirements.

Preferred Qualifications

• Master’s Degree in Computer Science, Engineering, or a related discipline.
• Experience with:
• Generative AI and LLM integration
• AI agents or agent frameworks
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• LLM evaluation and observability
• Experience developing tools used by engineers, including applications supporting:
• Vehicle design
• Simulation
• Testing
• Calibration
• PLM
• Manufacturing
• Automotive or manufacturing industry experience.
• Experience integrating modern applications with legacy enterprise systems.
• Experience collaborating with distributed or vendor engineering teams.
• Experience mentoring other engineers.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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