AI Engineer

Avacend Inc
New York, NY, United States
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$65,000.0 - $90,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Github Open Source Technology Software Deployment Software Engineering Unstructured Data Large Language Models Multi-Agent Systems Prompt Engineering Reliability of Systems Software Coding

Job description

We’re seeking an experienced AI Founding Software Engineer to join a fast-growing, venture-backed startup building next-generation AI solutions for enterprise customers. As one of the earliest engineering hires, you’ll play a pivotal role in architecting, building, and scaling production AI systems from the ground up while working directly with the founding team. We’re looking for an engineer who has recently shipped production AI products or customer-facing AI features, has hands-on experience building and deploying LLM-powered applications and autonomous AI agents, and thrives in a fast-paced startup environment. Ideal candidates have served as a Founding AI Engineer, Founding Software Engineer, or early engineering team member, where they took ownership of technical architecture, product development, and production deployments. This role is ideal for someone who enjoys solving complex engineering challenges, building scalable AI infrastructure, and shaping both the technology and the future direction of a high-growth AI startup. Design, build, and deploy production-ready AI agents and LLM-powered applications. Architect scalable agent orchestration systems with a focus on reliability, evaluation, and failure handling. Develop AI solutions that automate complex business workflows using structured and unstructured data. Build reusable platform components that support multiple customer use cases. Collaborate directly with founders and cross-functional stakeholders to shape product strategy. Continuously improve model performance, monitoring, and system reliability in production environments. Required Qualifications, Seeking a motivated sales engineer/product manager with expertise in mobile hydraulic/valve applications to support a growing business unit! This Jobot Job is hosted by: Dan Ashe…

  • 2 days ago +

Requirements

5+ years of software engineering experience with strong hands-on coding skills. Recent experience building and shipping production AI/LLM applications. Deep understanding of agent frameworks, orchestration, prompt engineering, evaluation frameworks, and production deployment. Experience with modern AI technologies such as LangGraph, DSPy, Anthropic SDK, OpenAI APIs, or similar frameworks. Ability to independently design and own technical architecture from concept through production. Must be based in the New York State area or willing to relocate. Must be authorized to work in the United States. Visa sponsorship is not available. Preferred Qualifications Startup experience as an early engineer or founding engineer. Experience working with healthcare, legal, finance, insurance, or other document-intensive industries. Contributions to open-source AI projects, technical blogs, GitHub repositories, or conference presentations. Experience transforming custom customer solutions into scalable platform capabilities. Strong understanding of production monitoring, AI evaluations, tracing, and model optimization. What We Offer

Benefits & conditions

Competitive base salary Meaningful equity ownership Opportunity to help shape a rapidly growing AI startup Direct collaboration with experienced founders and executive leadership Small, high-impact engineering team where your work will influence product direction from day one If you’re passionate about building production AI systems and want to work on cutting-edge generative AI technologies in a fast-paced startup environment, we’d love to hear from you., + $65,000-90,000 per year

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

2:33 min

Defining hybrid development and no-code software paradigms

Mark Piller · LIVE

2:32 min

Structured versus unstructured data domains in machine learning

Ekaterina Sirazitdinova · World Congress 2022

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

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