AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised

Description

  • Design, build, and maintain Python backend services, REST/GraphQL APIs, and system integrations.
  • Implement AI/LLM workflows, including retrieval-augmented generation, agentic orchestration, prompts, and guardrails.
  • Connect services, tools, and data sources into reliable, observable agentic platform workflows.
  • Translate Figma designs and design systems into responsive, accessible React interfaces.
  • Collaborate with product, UX, and engineering teams to define, estimate, and iteratively deliver features.
  • Write readable, testable code; create unit and integration tests; and participate in code reviews.
  • Support secure, scalable engineering standards, tooling, and CI/CD practices for AI workloads.
  • Diagnose and resolve issues across backend services, integrations, and frontend behavior.
  • Own features end to end, from API and AI integration through functional user interfaces.

Requirements

  • 7+ years of software engineering experience, including significant production Python development.
  • 2+ years of daily production use of an agentic coding harness such as Cursor, Windsurf/Devin, or Claude Code.
  • Practical expertise in agent skills, rules, prompt engineering, and loop engineering.
  • Hands-on experience integrating LLMs or AI services such as AWS Bedrock, OpenAI, Anthropic, LangChain, or AgentCore.
  • Strong REST/JSON API design and implementation experience; GraphQL is a plus.
  • Knowledge of data modeling, SQL/NoSQL persistence, queues, and event-driven patterns.
  • Experience with React preferred; Vue or Angular experience is acceptable with willingness to work in React.
  • Ability to implement responsive, accessible UIs from Figma or design specifications using component libraries.
  • Cloud-native development experience on a major cloud platform, preferably AWS, plus containerization concepts.
  • Familiarity with secure coding, OAuth/OIDC, RBAC, observability, agile delivery, and tools such as Jira.
  • Preferred experience includes agentic AI workflows, infrastructure as code, CI/CD, shared platforms, and design systems.
  • Preferred certifications include AWS AI/ML credentials, Anthropic Academy, Claude Certified Architect, or GitHub Copilot GH-300.

Benefits

  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Paid company holidays and paid time off.
  • Paid parental and caregiver leave.
  • Cross-department training, professional development, and sponsored certifications.
  • Access to a multi-million-dollar technology lab.

Interested in this position?

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