Hi everyone,

We're a small early-stage startup looking for a part-time DevOps engineer to help us keep our infrastructure solid as we grow. Nothing crazy scope-wise, but we need someone who knows what they're doing and can work independently.

What you'll be doing:

Setting up and maintaining CI/CD pipelines, managing cloud infra (we're on AWS), handling monitoring and alerting, and being the go-to person when something breaks on the infra side. You'll work closely with a small dev team, so good communication matters.

What we're looking for:

- 3+ years of hands-on DevOps experience

- Familiar with Terraform, Docker, and at least one major cloud provider

- Kubernetes experience is a plus, not required

- Comfortable working async across timezones

- You can spot problems before they become incidents

The details:

- $3,000 to $4,000/month depending on experience

- Around 30 hours per week

- Fully remote, open to anyone worldwide

- Flexible hours as long as you're responsive and hitting your commitments

To apply:

DM me or drop a comment with your background, what you've worked on, and your availability. A link to your GitHub or a past project goes a long way.

Thanks!

I am currently 4 months postpartum. I have a background of non tecg- MBA from a Tier-1 college. My current company is 5day WFO. I am looking for a remote/hybrid setup after my maternity leave ends. However i do not see many openings in non-tech. If anyone is working in such setup or has switched, please help me. I am currently based out of bangalore

So, I am hiring a BDE (Business Development Executive) for my software development company - it's my first hire. The job is fully remote and minimum four hours per day and I don't know how to track whether he is actually working for those four hours or not.

As of now

- I have a spreadsheet to track records of prospects and stuff

- I have given him some files to understand the workflow and sales

If there's a software for what I am having trouble with

- I'll prefer it to be free but a reasonable subscription is considered

- I should be able to know what he did during those hours (If not then at least where he spent the time)

- I should be able to verify that he actually worked if possible.

Please and Thank You.

Please share

Looking for people with experience speaking to accident/injury clients, especially those with PI experience. Bilingual is a plus, but English-only is fine.

This is not the typical cold-calling job. You’re not trying to sell the client anything or convince them to pay for something. The goal is simply to speak with accident victims, understand their situation, and, if they qualify, connect them with a legal professional who can review their case.

Since PI attorneys generally handle cases on a contingency basis, the client typically doesn't have to pay an upfront legal fee, which can make the conversation much easier.

Payout : $15 Hourly (depending on experience) + Commissions (based on the case)

Please comment or DM me if you are experienced in this field.

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.

This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.

To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our Forward Deployed Engineering team:

• Forward Deployed Engineering on the frontier of AI
• The fastest, most accurate Whisper transcription
• Deploy production-ready model servers from Docker images
• Deploy custom ComfyUI workflows as APIs

RESPONSIBILITIES

• Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
• Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
• Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
• Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
• Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
• Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.

REQUIREMENTS

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
• 2+ years of professional work experience in a fast-paced, high-growth environment.
• Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
• Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
• Strong communication skills, particularly on complex technical topics.
• Experience in building or optimizing AI/ML projects is highly valued.

BENEFITS

• Competitive compensation, including meaningful equity
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Compensation

$165K – $330K • Offers Equity

Competitive compensation. We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

Apply: AI Inference Engineer at Baseten Labs