Software Engineer

Skill; United States; On-site; USD 104,008 - 140,515; Part time

Job summary

Skill is seeking a Software Engineer to join their team in the United States. This role focuses on architecting and building a centralized AI platform that enhances developer productivity through AI agents.

The ideal candidate has 3-7 years of experience in software development, strong Python skills, and familiarity with cloud-based services. The position offers a temporary employment type with a competitive hourly rate.

Qualifications

• 3-7 years of professional experience in software development.
• Strong proficiency in Python for serverless functions.
• Experience with cloud-based services and security best practices.

Responsibilities

• Architect and implement AI agent orchestration systems.
• Integrate AI capabilities into CI/CD platforms.
• Design and implement knowledge bases for AI reasoning.

Skills

Python

Cloud-based services

AI agent services

CI/CD platforms

Observability principles

Job description

Overview

• Placement Type: Temporary
• Salary: $75.50-102 Hourly
• Start Date: Jun 29, 2026

Are you ready to shape the future of internal development workflows at a leading technology company? We're seeking a visionary Software Engineer to join a dynamic team dedicated to building a groundbreaking centralized AI platform. This is an unparalleled opportunity to make a profound impact, empowering every engineering team with safe, governed, and cost‑aware AI agents, fundamentally transforming how they build and deliver solutions. Your contributions will directly enhance developer productivity, streamline operations, and drive innovation across the organization, making complex AI capabilities accessible and impactful for everyone.

As a key contributor, you will be at the forefront of designing, building, and extending a shared platform that integrates cutting‑edge AI agent technology into development pipelines. You'll architect robust, scalable solutions that enable teams to leverage AI without extensive re‑architecture, setting new standards for efficiency and intelligent automation.

What you’ll do:

• Architect and implement sophisticated agent orchestration systems, including router functions, queueing mechanisms, and agent invocation services.
• Seamlessly integrate AI agent capabilities into modern CI/CD platforms, designing pipeline configuration patterns where agent invocations execute as stages, process context from code changes, produce artifacts, and control subsequent stages based on AI agent outcomes.
• Develop and expand a suite of shared, tool‑based functions that empower AI agents with versatile capabilities.
• Design and implement advanced knowledge bases, leveraging powerful search and storage technologies to ensure AI agents can reason over a comprehensive, shared organizational context rather than isolated prompts.
• Implement robust AI guardrails, including input/output filters, sensitive data scrubbing, content moderation, and fine‑grained, per‑agent permission boundaries, ensuring secure and compliant AI operations by design.
• Develop and integrate TokenOps controls for efficient resource management, encompassing model tiering and intelligent routing via an LLM gateway, semantic caching, and optimized context‑window management.
• Instrument the entire AI platform with comprehensive observability, including dashboards, audit trails, and detailed trace logging for every agent invocation (input, output, decision, tokens, cost) to ensure compliance, facilitate debugging, and provide deep operational insights.

Required Qualifications:

• 3-7 years of professional experience in software development.
• Strong proficiency in Python and the Python SDK for building production‑grade serverless functions and event‑driven services.
• Solid experience with cloud‑based services, including serverless compute, API management, messaging queues, event buses, identity and access management, secrets management, and monitoring tools.
• Specific experience with AI agent services, action groups, knowledge bases, and guardrails.
• Hands‑on experience integrating with large language model (LLM) APIs, such as those from leading providers or similar platforms.
• Familiarity with CI/CD platforms and best practices.
• A strong security mindset, including expertise in least‑privilege access, secure secrets handling, input validation, and an awareness of prompt injection and data‑leak risks in LLM workflows.
• Comfortable with observability principles, including structured logging, metrics, tracing, and writing highly debuggable code for production environments.

Preferred Qualifications:

• Experience with vector search and Retrieval‑Augmented Generation (RAG), including vector databases, embeddings, and retrieval evaluation.
• Familiarity with FinOps or TokenOps concepts, such as cost attribution, intelligent model routing, semantic caching, and batch inference.
• Experience building developer platforms or internal tooling that other engineers rely on daily.
• Familiarity with advanced AI agent frameworks and an understanding of their architectural tradeoffs.

How you’ll work:

• You excel at crafting small, focused services with clear contracts, prioritizing modularity over monolithic architectures.
• You champion extensibility as a core feature, ensuring that new triggers, agents, or tools can be integrated without impacting unrelated system layers.
• You are deeply empathetic to the developer experience of your platform’s users, focusing on usability and ease of adoption.
• You thrive in environments of ambiguity, understanding that agentic systems are inherently non‑deterministic and require empirical, adaptive debugging approaches.

Skill is an equal‑opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment‑one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.