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Evening Slack Software Engineer Jobs in Minnesota

In Tandem

AI Engineer

Minneapolis, MN

$100K - $135K/yr

What you bring: * 5+ years shipping production software, including meaningful applied AI or ML work ... Bonus for Slack apps, MCP, or agent orchestration at team scale. Why Join? We're redefining family ...

In Tandem, Llc

AI Engineer

Minneapolis, MN · On-site

... software, including meaningful applied AI or ML work. * Demonstrated experience running and ... Bonus for Slack apps, MCP, or agent orchestration at team scale. Why Join? We're redefining family ...

In Tandem, Llc

AI Engineer

Minneapolis, MN · On-site

... software, including meaningful applied AI or ML work. * Demonstrated experience running and ... Bonus for Slack apps, MCP, or agent orchestration at team scale. Why Join? We're redefining family ...

Shipt, Inc.

Engineer

Minneapolis, MN · On-site

At least 4 years in software or systems engineering, specifically designing and maintaining scalable SaaS architectures (e.g., Google Workspace, M365, Slack, Zoom, Zapier). * Proficiency in Python ...

Shipt

Engineer

Minneapolis, MN

At least 4 years in software or systems engineering, specifically designing and maintaining scalable SaaS architectures (e.g., Google Workspace, M365, Slack, Zoom, Zapier). * Proficiency in Python ...

URBN

URBN Staff Platform Engineer

Saint Paul, MN · On-site

Familiarity with TACoS (Terraform Automation and Collaboration Software) is a major plus ... Slack discussions.Bonus:- Experience managing AI/ML infrastructure, specifically Vertex AI or ...

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All JobsEvening Slack Software Engineer JobsEvening Slack Software Engineer Jobs in Minnesota

Evening Slack Software Engineer information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like cloud computing, AI, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or specialized expertise.

What's the work-life balance like at Slack?

As an Evening Slack Software Engineer, work-life balance can vary depending on team and project demands, but Slack emphasizes flexible schedules and remote work options. Many employees report a supportive environment with reasonable expectations, though occasional overtime may occur during critical releases or deadlines.

Can I make 200k a year as a software engineer?

Earning $200,000 annually as a software engineer is possible, especially with senior roles, specialized skills, or working at large tech companies. Factors such as location, experience, and expertise in areas like cloud computing or machine learning influence salary levels. Many software engineers reach this income level through a combination of base salary, bonuses, and stock options.

How much do Slack software engineers make?

Slack software engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, especially for senior roles or those in high-cost areas.

What is the difference between Evening Slack Software Engineer vs Evening Chat Software Engineer?

AspectEvening Slack Software EngineerEvening Chat Software Engineer
Required CredentialsBachelor's in Computer Science, experience with Slack APIBachelor's in Computer Science, experience with chat platform APIs
Work EnvironmentRemote or office, collaborative teams focused on Slack integrationsRemote or office, teams developing chat application features
Industry UsagePrimarily in tech, communication, and collaboration toolsPrimarily in messaging, social media, and communication sectors
Common Search IntentComparing Slack-focused roles with similar chat platform roles

The Evening Slack Software Engineer and Evening Chat Software Engineer roles share similar credentials and work environments, both focusing on communication tools. The main difference lies in their platform focus: Slack versus general chat applications. Candidates should consider their experience with specific APIs and industry preferences when choosing between these roles.

What are the most commonly searched types of Slack Software Engineer jobs in Minnesota? The most popular types of Slack Software Engineer jobs in Minnesota are:
What are popular job titles related to Evening Slack Software Engineer jobs in Minnesota? For Evening Slack Software Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Evening Slack Software Engineer jobs in Minnesota look for? The top searched job categories for Evening Slack Software Engineer jobs in Minnesota are:
Evening Slack Software Engineer jobs near you

AI Engineer

In Tandem

Minneapolis, MN

$100K - $135K/yr

Full-time

Retirement, PTO

Posted 10 days ago

Job description

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.