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Afternoon Ai Programmer Jobs (NOW HIRING)

... the afternoon. You need to code at a high bar, make architectural decisions you can defend, and ... Stay current on AI/ML and software engineering trends, and bring back what's worth adopting Minimum ...

Traba is the AI operating layer for the industrial supply chain. We started in workforce--temp ... afternoon. Benefits * Start-up equity * Competitive Salary * 100% Paid health, dental & vision ...

$191 - $334/hr

... afternoon. This is not a back-office engineering role -- you will be in front of customers ... Develop novel AI Agent frameworks, architectural patterns, or tooling that establish new internal ...

That means embracing AI agents in your day-to-day workflows. We use tools like Claude Cowork to ... afternoon, without losing credibility in either room. • You listen before you troubleshoot. You ...

We are seeking an entrepreneurial Senior Applied Agent Engineer to join as a founding member of the ... afternoon. * A genuine excitement about industrial operations and the chance to use applied AI to ...

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... One morning you might be debugging an XR app, the next afternoon you're running a hardware ...

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... One morning you might be debugging an XR app, the next afternoon you're running a hardware ...

We're seeking an entrepreneurial Senior AI Agent Engineer to join as a founding member of the ... afternoon. Benefits * Start-up equity * Competitive Salary * 100% Paid health, dental & vision ...

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How much do afternoon ai programmer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for afternoon ai programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is an afternoon AI programmer?

Afternoon AI Programmers are software developers who specialize in creating, training, and maintaining artificial intelligence (AI) systems, typically working during afternoon shifts or hours. Their responsibilities include designing algorithms, writing code for AI applications, and collaborating with data scientists to implement machine learning models. These programmers may focus on tasks such as natural language processing, computer vision, or data analysis, depending on the company's needs. Afternoon AI Programmers are often employed in industries like tech, finance, healthcare, and more, where AI solutions are in demand. This role requires strong programming skills, familiarity with AI frameworks, and an understanding of data structures and algorithms.

How do afternoon AI programmers typically collaborate with other team members during their shift?

Afternoon AI Programmers often work closely with data scientists, product managers, and fellow developers to ensure that AI models and algorithms are integrated smoothly into applications. Collaboration usually happens through daily stand-up meetings, code reviews, and shared documentation, even if some team members are on different shifts. Effective communication and clear handovers are essential to maintain project continuity and resolve issues quickly. This collaborative environment allows programmers to learn from peers and contribute to cross-functional projects, enhancing both individual and team performance.

What are the key skills and qualifications needed to thrive as an afternoon AI programmer, and why are they important?

To thrive as an Afternoon AI Programmer, you need strong programming skills in languages such as Python or Java, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and experience with version control systems such as Git are commonly required. Excellent problem-solving abilities, effective communication, and time management are important soft skills for collaborating with teams and meeting project deadlines. These skills and qualities are crucial for developing reliable AI solutions that align with organizational goals and adapt to evolving technological needs.
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Infographic showing various Afternoon Ai Programmer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Software Engineer, Full Stack

INSTALILY.AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Own end-to-end design and delivery of features across the full stack, including backend services, agent infrastructure, APIs, and customer-facing web UIs

  • Build, ship, and operate LLM-powered systems such as agents, RAG pipelines, tool-use frameworks, and evaluation harnesses, ensuring their reliability in production

  • Lead technical discovery sessions with enterprise customers, map their workflows, and translate requirements into shipped products


Job description

About the Role

As a Full Stack Software Engineer at InstaLILY, you'll own meaningful pieces of our AI agent platform: the core systems that let autonomous agents reason, act, and integrate into our enterprise customers' workflows. You'll work alongside the Lead Software Engineer and a team drawn from top-tier programs to design, build, and ship the platform features that show up in production at our customers. You'll work across the stack, from backend services and agent infrastructure to APIs and the web interfaces our customers actually touch.

This role is deeply client-facing. You won't be coding in a vacuum and handing off to a customer success team. You'll be in the room with our customers from the start. You'll sit in working sessions with enterprise stakeholders, run technical discovery, translate messy real-world workflows into shipped features, and embed with customer teams during rollouts. The best engineers here are the ones who can switch between writing production code in the morning and walking a Fortune 500 VP through a system architecture in the afternoon. You need to code at a high bar, make architectural decisions you can defend, and explain them clearly to people who don't speak engineer.

Responsibilities
  • Own end-to-end design and delivery of features across the full stack: backend services, agent infrastructure, APIs, and customer-facing web UIs
  • Build, ship, and operate LLM-powered systems: agents, RAG pipelines, tool-use frameworks, evaluation harnesses, and the supporting infrastructure that makes them reliable in production
  • Lead technical discovery with new enterprise customers; sit with their teams, map their workflows, and translate what you hear into shipped product
  • Embed with customer teams during deployments and rollouts; be the engineering presence in the room, not the one waiting for a Jira ticket
  • Present architecture and technical tradeoffs to non-technical executives at our customers, and defend them under pressure
  • Partner with the Growth team to turn customer feedback into roadmap; iterate on what's actually being used vs. what we thought would be useful
  • Raise quality and reliability across the codebase through comprehensive testing, code review, and CI/CD practices
  • Mentor junior engineers: pair on hard problems, review their code thoughtfully, and help them level up
  • Contribute to architectural discussions and technical reviews; help shape how we build as we scale
  • Stay current on AI/ML and software engineering trends, and bring back what's worth adopting
Minimum Qualifications
  • Bachelor's or Master's in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
  • 3-5 years of experience as a software engineer, with a track record of shipping production systems across the full stack
  • Strong fluency on the backend (Python, TypeScript, or similar) and the frontend (React, Next.js, modern TypeScript)
  • Solid grasp of system design fundamentals (API design, data modeling, async patterns, caching, queues) and frontend architecture (component design, state management, performance)
  • Production experience with cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines
  • AI-serious: you've built and shipped something real with LLMs (a production RAG system, an agent in customer hands, a non-trivial integration), and you have opinions on what works and what doesn't
  • Comfortable in front of customers: you can run a technical discovery session, defend an architectural decision to a non-technical exec, and translate vague enterprise requirements into something concrete
  • Strong written and verbal communication: you can write a clear design doc, send a clean customer-facing update, and present to a room without disappearing into jargon
Preferred Qualifications
  • Experience mentoring junior engineers, leading technical reviews, or owning a meaningful surface of a codebase
  • Prior experience in a forward-deployed, solutions engineering, or client-embedded role at a B2B software company
Our Stack

We're a TypeScript + Python shop. You'll work with these every day:

  • Frontend: TypeScript, React, Next.js (deployed on Vercel)
  • Backend: Python, FastAPI, SQLAlchemy
  • Database: PostgreSQL with Alembic for migrations
  • Infrastructure: GCP, Docker
  • Workflow orchestration: Temporal
  • Lots of third-party integrations into our enterprise customers' systems

Required: TypeScript, React/Next.js, Python, FastAPI, SQLAlchemy, PostgreSQL

Nice to have: GCP, Vercel, Temporal, Alembic, Docker, prior experience with third-party / enterprise system integrations

You don't need to have used every tool on our stack; strong engineers ramp quickly. But you should be genuinely fluent in the required core: TypeScript on the frontend and Python on the backend, with real production experience shipping features end-to-end.

What You'll Get
  • Proven product: Customers are live; this isn't a bet on an unproven thesis
  • AI-native: In how we build, how we work, and what we sell
  • Stage: Early enough to shape how the company builds and scales
  • Customer access: Real seats at the table with enterprise customers; you'll learn how the largest companies in the world actually buy, deploy, and use software
  • Global: Based in New York with offices in SF and London
  • Culture: Sharp, low-ego team that keeps raising the bar
  • Growth: The learning curve is steep
Compensation and Benefits
  • Salary Range: $150,000-$190,000 per year, commensurate with experience
  • Equity: Stock options awards, and refreshers for top performers
  • Benefits: Medical, Dental, Vision, 401K, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and 10 US Federal Holidays, and more!

Join InstaLILY and build autonomous agents that matter. If you want a role where you own real surfaces of an AI platform, where your code ships into real enterprise systems, and where you're in the room with the customers using them, we want to hear from you.