Agentic Software Engineer (Full Stack)

Specright; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive salaries

Flexible hours

Full benefits package (Medical, Vision

Dental

Job summary

Specright is seeking an Agentic Software Engineer (Full-Stack) to ship reliable, user-facing AI agent products to production. You’ll own production systems end-to-end—designing agent architectures, writing and reviewing code with agentic assistants, setting up rigorous evals, and operating what you build.

If you care about making AI agents that actually work—this role is for you. You’ll work with TypeScript/Node.js and Python in modern web stacks, building chat-based interfaces, tooling, and

Qualifications

• Proven full-stack engineering ability with production experience.
• Hands-on experience building LLM-powered agents in production.
• Deep familiarity with agentic coding best practices: task decomposition and prompt hygiene.
• Experience with agent evaluation and tracing for behavior and regression detection.
• Solid fundamentals: testing, debugging, security, performance, reliability.

Responsibilities

• Build and ship agentic applications end-to-end for real users in production.
• Use modern agentic coding tools to accelerate delivery while upholding code quality.
• Architect agent systems including tool calling, memory, and orchestration.
• Own eval infrastructure: regression suites, trace-based tests, and metrics.
• Implement observability with tracing, version tracking, and telemetry.

Skills

Full-stack engineering

LLM-powered agents

Agentic coding practices

Agent evals & tracing

Engineering fundamentals

Tools

TypeScript/Node.js

Python

OpenTelemetry

LangSmith

Datadog

Honeycomb

Vector databases

Job description

The Role

We’re looking for an Agentic Software Engineer (Full-Stack) to help us ship reliable, user-facing AI agent products to production—fast. You'll work at the intersection of modern AI tooling and strong software engineering discipline, building agentic experiences that our customers and internal teams rely on every day. This is not a research role. You will own production systems end-to-end: designing agent architectures, writing and reviewing code (often with agentic coding assistants), setting up rigorous evals, and operating what you build. If you care about making AI agents that actually work—not just demo well—this role is for you.

What You’ll Do

• Build and Ship Agentic Applications Design, develop, and deliver agentic products end-to-end - including chat-based interfaces, AI workflow tools, and internal copilots - that serve real users in production.
• Leverage Agentic Coding Workflows Use modern agentic coding tools daily (e.g., Claude Code, Codex, Cursor, and similar assistants) to accelerate delivery while maintaining high code quality and engineering standards.
• Design Agent Systems Architect agent internals: tool calling, multi-step orchestration, memory and state management, retrieval pipelines, permissions models, and failure recovery strategies.
• Own Evals and Quality Build and maintain agent evaluation infrastructure - regression suites, scenario-based tests, golden traces, and both offline and online metrics - so you always know whether your agent got better or worse.
• Implement Observability Instrument agents with production-grade observability: distributed tracing, prompt and version tracking, tool-call telemetry, and cost/latency monitoring.
• Own Production Readiness Take responsibility for the full lifecycle: rollout plans, QA, guardrails, incident response, and continuous improvement of deployed agents.

What You Bring (Must-Haves)

• Proven full-stack engineering ability. You've shipped production software end-to-end - not just prototypes or demos.
• Hands-on experience building LLM-powered agents that work in production. You've owned at least 1-2 agentic features or products through deployment and operation.
• Deep familiarity with agentic coding best practices. You understand task decomposition, agent delegation, prompt hygiene, iterative loops, and how to review and steer agentic outputs effectively.
• Practical experience with agent evals and tracing. You've gone beyond model benchmarking to build evaluation systems specifically for agent behavior - including trace-based debugging and regression detection.
• Solid engineering fundamentals. Testing, debugging, security basics, performance optimization, and reliability are second nature to you.

Nice-to-Haves

• Proficiency in TypeScript/Node.js and/or Python, with experience in modern web stacks and startup-pace delivery.
• Familiarity with agent tooling ecosystems: prompt/version stores, eval harnesses, tracing and telemetry platforms (OpenTelemetry, LangSmith, Datadog, Honeycomb, or similar).
• Experience with RAG architectures: vector databases, indexing strategies, chunking approaches, and retrieval evaluation.
• Experience designing tool APIs for agents: structured output schemas, idempotency, rate limiting, and error handling patterns that make agents more reliable.

Why Specright

• Entrepreneurial culture. We're fast-paced, informal, and flat - collaboration and innovation matter more than hierarchy or fear of mistakes.
• Real impact. Your work will power AI capabilities that touch real supply chain decisions across major industries.
• Autonomy and ownership. We hire senior people and trust them to make decisions, ship fast, and continuously improve what they build.
• Global team. You'll collaborate across time zones with talented colleagues who care about craft.
• Competitive perks. Competitive salaries, flexible work hours, and a full benefits package (Medical, Vision, and Dental).

About Specright

Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company’s Most Innovative Companies for 2023, had three executives honored as Supply & Demand Chain Executive Pros to Know in 2023, and won Food Logistics' 2022 Top Software & Technology Provider award. For more information, visit: www.specright.com. We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Salary: $150000 - $200000 per year