Full Stack Engineer
Quick Summary
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery,
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Design, build, and maintain backend services in Python, including REST/GraphQL APIs and integrations with internal and external systems.
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Implement and integrate AI/LLM-powered workflows (e.g., RAG, agentic workflows, orchestration, prompt/guardrail patterns).
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Work across our agentic platform stack to connect services, tools, and data sources into reliable, observable workflows.
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Translate UX designs and design systems into clean, maintainable frontend code (React), wiring up APIs, state, and components.
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Collaborate with product, UX, and other engineers to break down requirements, estimate work, and deliver in iterative increments.
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Write readable, testable code with appropriate unit/integration tests and participate in code reviews.
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Help ensure engineering standards, tooling, and CI/CD practices for secure, scalable AI workloads.
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Diagnose and resolve issues across the stack (backend, integrations, and frontend behavior).
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Use agentic development for rapid quality code and be excited about staying at the forefront of AI skills.
Must have
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4+ years of software engineering experience, with significant time in Python building production services.
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Hands-on experience integrating with LLMs or AI services (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, AgentCore, or similar).
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Strong experience with API design and implementation (REST/JSON; GraphQL a plus).
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Solid understanding of data modeling, persistence, and integration (SQL/NoSQL, queues, event-driven patterns, etc.).
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Working proficiency with modern frontend frameworks (React preferred; Vue/Angular acceptable with willingness to work in React).
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Ability to take Figma/wireframes/design specs and implement responsive, accessible UI using a component library / design system (e.g., Tailwind + component kits).
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Experience with cloud-native development on at least one major cloud (AWS preferred) and containerization/orchestration concepts.
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Familiarity with secure coding practices, authentication/authorization patterns (OAuth/OIDC, RBAC), and observability (logging, metrics, tracing).
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Comfortable working in an agile environment with iterative delivery, backlog tracking (e.g., Jira), and collaboration tools.
Nice to have
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Experience building or integrating with agentic AI workflows (multi-agent graphs, tools, guardrails, human-in-the-loop flows).
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Knowledge of event-driven architectures, message buses, and workflow engines.
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Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD in cloud environments.
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Background working on platform or shared services used by multiple product teams.
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Familiarity with design systems and reusable UI component libraries (e.g., shadcn, Material).
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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.
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You move quickly but safely, shipping incremental value while maintaining code quality, reliability, and security.
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You collaborate well with product, UX, and other engineers, and you’re comfortable operating in an evolving Enterprise AI platform context.
Location & Eligibility
Listing Details
- Posted
- June 17, 2026
- First seen
- June 17, 2026
- Last seen
- June 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 87%
- Scored at
- June 17, 2026
Signal breakdown
Please let Thinkahead know you found this job on Jobera.
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