Lead Full-Stack Developer

About the role

We are seeking a senior full-stack engineer with deep Python expertise and experience in delivering enterprise-grade AI applications. This role will lead key Fraud AI initiatives, provide technical leadership to offshore teams, and serve as an onshore point of contact during U.S. business hours.

Key Responsibilities

• Lead offshore engineering resources and drive the successful delivery of AI initiatives.
• Design, develop, and enhance backend services using Python frameworks such as Flask, FastAPI, or Django.
• Build and improve React-based user interfaces that support AI-enabled workflows.
• Architect and implement production-grade Generative AI solutions, including LLMs, RAG pipelines, and agentic systems.
• Establish and enforce guardrails, governance, monitoring, and compliance controls for all AI solutions.
• Develop and maintain CI/CD pipelines and cloud deployment processes on platforms like AWS or Azure.
• Collaborate with Product, Design, Platform, Risk, and Compliance teams to deliver integrated solutions.
• Provide mentorship to other engineers, drive architectural decisions, and perform technical leadership functions.

Required Qualifications

• Backend Development (5+ Years): Expert-level Python development experience with frameworks like Flask, FastAPI, or Django. Proficiency in API design and development (REST, OpenAPI, Swagger). Experience with authentication and security protocols such as OAuth, OIDC, JWT, and RBAC.
• Frontend Development (3+ Years): Experience with React (preferred) or Angular, including component architecture, state management, and routing. Knowledge of accessibility standards and UI testing practices.
• Generative AI / Agentic AI (1+ Year): Understanding of LLM concepts, RAG design, and agentic AI systems. Proficiency in LangChain and/or LangGraph. Experience with prompt engineering and implementing AI guardrails.
• Data & Infrastructure (3–5 Years): Experience with vector and relational databases, and Redis caching. Proficiency with Docker, Kubernetes, and CI/CD pipelines. Knowledge of observability, monitoring, and performance optimization for AI workloads. Experience with public cloud deployments (AWS or Azure).

Preferred Qualifications

• Experience with LLM observability tools.
• Familiarity with graph databases.
• Experience with Kafka or other messaging platforms.

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.

Pay

The salary range for this role is $120,000 - $150,000 annually.

Schedule

This role is hybrid, with a mix of remote and in-office work.