Full Stack Engineer
AHEAD
- AI-LLM-Engineering
- Backend-Engineering
- Developer
- Frontend-Engineering
- Full-Stack-Developer
- Full-Stack-Engineer
- Full-Stack-Engineering
- Full-Stack-Software-Engineering
- Software-Engineering
Assessed from original listing evidence
The role
Job description
What you’ll do
Design, build, and maintain backend services in Python, including REST/GraphQL APIs and integrations with internal and external systems.
Implement and integrate AI/LLM-powered workflows (e.g., RAG, agentic workflows, orchestration, prompt/guardrail patterns).
Work across our agentic platform stack to connect services, tools, and data sources into reliable, observable workflows.
Translate UX designs and design systems into clean, maintainable frontend code (React), wiring up APIs, state, and components.
Collaborate with product, UX, and other engineers to break down requirements, estimate work, and deliver in iterative increments.
Write readable, testable code with appropriate unit/integration tests and participate in code reviews.
Help ensure engineering standards, tooling, and CI/CD practices for secure, scalable AI workloads.
Diagnose and resolve issues across the stack (backend, integrations, and frontend behavior).
Use agentic development for rapid quality code and be excited about staying at the forefront of AI skills.
Core skills & experience
4+ years of software engineering experience, with significant time in Python building production services.
Hands-on experience integrating with LLMs or AI services (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, AgentCore, or similar).
Strong experience with API design and implementation (REST/JSON; GraphQL a plus).
Solid understanding of data modeling, persistence, and integration (SQL/NoSQL, queues, event-driven patterns, etc.).
Working proficiency with modern frontend frameworks (React preferred; Vue/Angular acceptable with willingness to work in React).
Ability to take Figma/wireframes/design specs and implement responsive, accessible UI using a component library / design system (e.g., Tailwind + component kits).
Experience with cloud-native development on at least one major cloud (AWS preferred) and containerization/orchestration concepts.
Familiarity with secure coding practices, authentication/authorization patterns (OAuth/OIDC, RBAC), and observability (logging, metrics, tracing).
Comfortable working in an agile environment with iterative delivery, backlog tracking (e.g., Jira), and collaboration tools.
Experience building or integrating with agentic AI workflows (multi-agent graphs, tools, guardrails, human-in-the-loop flows).
Knowledge of event-driven architectures, message buses, and workflow engines.
Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD in cloud environments.
Background working on platform or shared services used by multiple product teams.
Familiarity with design systems and reusable UI component libraries (e.g., shadcn, Material).
Must have
Nice to have
What success looks like in this role
You can own a feature end to end: from API design and AI integration through to a functional UI, without heavy supervision on the frontend.
You move quickly but safely, shipping incremental value while maintaining code quality, reliability, and security.
You collaborate well with product, UX, and other engineers, and you’re comfortable operating in an evolving Enterprise AI platform context.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in [link removed] fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.USA Employment Benefits include:
- Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits [link removed] for additional details.Use of AI:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by [link removed] you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [link removed]. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.Originally posted on Himalayas
Keep exploring
Related remote jobs
Senior Software Engineer
AHEAD
Software EngineeringSoftware Engineer
AHEAD
Software EngineeringManager of Software Engineering
AHEAD
Software EngineeringIdentity Application Architect
AHEAD
Software EngineeringManaged Services AI Platform Architect
AHEAD
Machine Learning