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Weekend Remote Ai Engineer Jobs in Colorado (NOW HIRING)

In Tandem

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

AI Engineer Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ...

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Connect for Health Colorado

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

... Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to ... Work schedule may include some non-traditional hours, weekends, and evening events. * Core office ...

micro1 AI

Engineering AI Evaluator (PhD)

Denver, CO · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

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Weekend Remote Ai Engineer information

What are Weekend Remote AI Engineers?

Weekend Remote AI Engineers are professionals who design, build, and maintain artificial intelligence systems while working remotely, typically on weekends. They may be employed part-time, as freelancers, or on a project basis to assist organizations with AI development outside of standard business hours. Their responsibilities can include developing machine learning models, processing data, and integrating AI solutions into existing products. This role is ideal for individuals seeking flexible work arrangements or supplemental income, and it requires strong programming and analytical skills.

What is the difference between Weekend Remote Ai Engineer vs Weekend Remote Data Scientist?

AspectWeekend Remote Ai EngineerWeekend Remote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Industry UsageTech, AI startups, software companiesTech, finance, healthcare, research institutions

Weekend Remote Ai Engineers focus on developing AI models and algorithms, often working on machine learning and deep learning projects. In contrast, Weekend Remote Data Scientists analyze data to extract insights, supporting decision-making. Both roles require technical skills and often operate remotely on flexible schedules, but their core responsibilities differ in AI development versus data analysis.

What are the key skills and qualifications needed to thrive as a Weekend Remote AI Engineer, and why are they important?

To thrive as a Weekend Remote AI Engineer, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), version control systems (like Git), and cloud platforms (AWS, Azure, or GCP) is essential. Excellent problem-solving, time management, and communication skills help you excel in a remote, asynchronous work environment. These competencies ensure you can independently deliver high-quality AI solutions and collaborate effectively, even outside traditional work hours.

What are some common challenges faced by Weekend Remote AI Engineers, and how can they be addressed?

Weekend Remote AI Engineers often encounter challenges such as limited real-time collaboration with team members working standard weekday hours, balancing time management with personal commitments, and staying updated with ongoing project changes. To address these, it’s helpful to utilize asynchronous communication tools, maintain clear documentation of work, and proactively sync with team leads before and after the weekend. Establishing a structured routine and setting clear goals for each weekend session can also enhance productivity and integration with the broader team.
What are popular job titles related to Weekend Remote Ai Engineer jobs in Colorado? For Weekend Remote Ai Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Ai Engineer jobs in Colorado look for? The top searched job categories for Weekend Remote Ai Engineer jobs in Colorado are:
What cities in Colorado are hiring for Weekend Remote Ai Engineer jobs? Cities in Colorado with the most Weekend Remote Ai Engineer job openings:
Weekend Remote Ai Engineer jobs near you

AI Engineer

In Tandem

Denver, CO • On-site, Remote

$100K - $135K/yr

Full-time

Retirement, PTO

Posted 4 days ago

Job description

AI Engineer
Department: Data Engineering
Employment Type: Permanent - Full Time
Location: Remote USA - In Tandem
Compensation: $100,000 - $135,000 / year
Description
At In Tandem, we build technology that helps families manage everyday routines and navigate life's biggest transitions. Through our four brands-OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator-we help families stay organized, communicate well, and foster healthy childhoods.
We believe technology should strengthen relationships and make daily coordination less complicated. Everything we create is designed to lighten the mental load, reduce conflict, and support families through big and small moments.
If you want your work to make a real difference in the daily lives of parents and kids, In Tandem is the place where your impact will truly matter.
As our AI Engineer, you'll keep the AI infrastructure our products and teams run on fast, efficient, and reliable, and you'll build with it. You'll run and optimize our self-hosted inference stack on our own GPU hardware, build the internal platform our employees work through, and ship user-facing agents inside the apps. Your work spans OurFamilyWizard, Cozi, and FamilyWall, and the platforms that power how we build.
This is a hands-on technical role at its core: you own the technical side of running our models on our own hardware. But it's not siloed, and we don't want it to be. We're looking for someone who also wants to pick up app-layer work and ship product-facing features, and does both well.
What you will accomplish:
Run and optimize our self-hosted inference stack
  • Run the inference serving layer on our own GPU hardware: choose and tune the serving stack (vLLM, SGLang, TensorRT-LLM) for high throughput and low latency.
  • Optimize aggressively: tensor parallelism, quantization (FP8, AWQ, GPTQ), KV-cache and prefix caching, continuous batching, speculative decoding, concurrency tuning.
  • Serve multiple models and features off shared hardware: multi-LoRA, routing, and request scheduling that balances internal workloads against latency-sensitive product traffic.

Keep our AI fast, efficient, and observable
  • Make our AI workloads efficient: improve latency, throughput, and GPU utilization so we get the most out of what we run.
  • Build the visibility: instrument performance and usage across our AI surfaces so there's clear data on how everything is running.
  • Surface the technical tradeoffs (performance, latency, efficiency) so the people making the calls have what they need to make them.

Build AI features and proactive agents
  • Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions, agents that summarize, draft, schedule, and act for busy parents.
  • Build the substrate underneath: tools, memory, orchestration, guardrails, and evaluation harnesses, integrated cleanly with production APIs alongside our architecture team.
  • Work in nimble pairs with feature owners, standing up whatever's needed to test an idea, including a vibe-coded UI when that's the fastest path to a real customer. Ship rough, learn fast, harden what works.

Who you are:
  • Technical and hands-on with infrastructure: you like running real systems on real hardware and keeping them fast and reliable.
  • A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a feature needs shipping, you want to pick it up and ship it, not just hand it off.
  • Performance-minded: you treat latency, throughput, and efficiency as things to engineer deliberately.
  • Rapid-prototyping and AI-first, with modern tooling (Claude Code, agent SDKs) part of your craft.
  • Motivated by work that matters. Families rely on these products during real moments in their lives.

What you bring:
  • 5+ years shipping production software, including meaningful applied AI or ML work.
  • Demonstrated experience running and optimizing self-hosted LLMs on dedicated multi-GPU hardware: a serving stack (vLLM, SGLang, or TensorRT-LLM) and the optimization that comes with it (tensor parallelism, quantization, batching, KV cache).
  • A track record of optimizing inference performance and efficiency (latency, throughput, GPU utilization).
  • Strong Python and engineering fundamentals, with the full-stack range to stand up a quick UI, and the genuine desire to work app-layer features and not only infra.
  • Hands-on with agent frameworks (Claude Agent SDK, LangGraph, or similar), LLM APIs, embeddings, and RAG.
  • Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability.
  • Experience building internal tooling or platforms others depend on. Bonus for Slack apps, MCP, or agent orchestration at team scale.

Why Join?
We're redefining family technology.
In Tandem brings together a growing portfolio of trusted tools that support families, and the professionals who guide them, through the moments that matter most. We bring clarity to chaos and stability to daily family life, helping parents feel less stressed so kids can have healthier childhoods.
Scale meets startup energy.
With more than 20 years of impact and a strong market presence, we're entering a bold new chapter of growth. We have the foundation, the momentum, and the ambition to go further: expanding our reach, deepening our impact, and elevating the tools families and professionals rely on every day.
Purpose-driven. Performance-focused. People-first.
Our culture is rooted in accountability, curiosity, and collaboration. We value diverse perspectives, thoughtful problem-solving, and teammates who care deeply about building something that matters.
How we support you:
  • Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members
  • 401k: Up to a 4% match with immediate vesting
  • Paid leave for all new parents
  • Learning & Development stipend for employees
  • Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day)
  • Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
  • Supportive and flexible working environment - work from anywhere!

Come As You Are!
In Tandem provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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