Jobs AI

We are looking for a Junior-Middle Backend Developer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

Responsibilities:

• Day-to-day product implementation.
• Develop integrations with AI (e.g., Perplexity, OpenAI) & 3rd party API (e.g., CRMs).
• Leverage your prompt engineering skills to maximize the outcome.
• Customer discovery. That includes: internal product conversations, as well as joining some customer calls (Maybe not from day one, but definitely later on).

Requirements:

• At least 1 year of experience working in a product company/startup.
• 1-3 years of software development experience.
• Experience with Node.js, TypeScript, JSON, REST API, Git.
• Experience in LLM/RAG, MCP, and AI agent development and prompt engineering.
• Database design and optimization (SQL).
• Development in cloud infrastructure (AWS/GCP/Azure).
• Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
• Experience with n8n/make will be a great plus.
• Excellent verbal communication skills.
• Excellent English, minimum B2 level.
• Absolutely customer-centric and flexible in a dynamic environment (i.e., fully tolerant of shifting priorities daily).

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP, but negotiable.

What else will you get:

• Learning how a startup grows.
• Direct impact on product and company strategy.
• Deliver value directly to paying B2B clients.
• You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process:

• 30-45 min pre-screen interview with a recruitment manager.
• 30 min call with the client.
• A technical deep-dive interview, most likely with online coding (conducted by the client).

AI-First Project Manager / Operations (German application users/customers)
 

We're a startup that moves fast, runs several projects at once, and uses AI tools everywhere we can. We work with large, established German companies, and we're looking for someone to help keep everything moving internally.
 

What you'd do:

• Turn quick discussions from meetings into clear tickets for developers.
• Check that what developers deliver actually meets the goal.
• Use AI tools (Claude, ChatGPT, Gemini) to work faster: drafting tickets, reviewing work, bulk-editing tasks.
• Keep track of many moving projects at once and switch between them smoothly.
• Pick up the mix of operational tasks that come with an early-stage startup.
   

You're a good fit if you:

• Are highly organized and detail-oriented, but can hold the big picture in your head.
• Love using AI to make your own work faster.
• Learn fast and become the go-to person on new topics quickly.
• Have strong written and reading German (B2 or above) — a lot of the work involves managing German-language data. Our team works in English day to day, so spoken fluency isn't required.
• Can occasionally travel to Berlin to meet the team.

We start with a paid trial project so both sides can check the fit, then move to full time.

Apply here and we will get back to you within 3 business days.

Meet the YozmaTech

YozmaTech isn’t just another tech company — we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family — you’ll feel right at home with us.

Our client is looking for a Senior Full Stack Engineer with strong expertise across both frontend and backend, a passion for building scalable, high-quality products, and proven ability to handle end-to-end feature development.

In this role, you’ll play a key part in advancing our web architecture, improving system performance, and enhancing the overall development standards of our platform. You’ll work on complex real-time products, helping shape fast, reliable, and user-friendly experiences.

If you enjoy solving technical challenges, working with modern technologies, and creating clean, efficient solutions — we’d love to connect.

This role offers the opportunity to make a direct impact on product quality, technical decisions, and overall platform growth within a fast-moving and collaborative environment.

Key Requirements:
🔹 Solid backend fundamentals 7+ years — API design, data flow management, and building scalable systems with Python as a must-have and Node.js considered a strong plus.
🔹 5+ years of software engineering experience, with strong frontend expertise in modern JavaScript frameworks (React, Angular, Vue), TypeScript, and modern build tools (Vite, Next.js, SWC);
🔹 Proven experience improving frontend architecture and scaling web applications;
🔹 Strong understanding of TypeScript, build tools (Webpack, Vite), and browser APIs;
🔹 Hands-on experience with AI tools such as Cursor, Claude, and ChatGPT
🔹 Product-oriented mindset with strong attention to UX, quality, and maintainability;
🔹 Strong communication skills and the ability to work effectively in cross-functional teams;
🔹 English — Upper-Intermediate or higher.

What you will do:
🔹 Drive frontend improvements by introducing better development practices, tools, and modern technologies;
🔹 Design and develop scalable, high-performance web applications using React and modern frontend frameworks;
🔹 Take ownership of features from planning to production, including technical design, implementation, and optimization;
🔹 Work closely with Product, Design, and engineering teams to deliver smooth and intuitive user experiences;
🔹 Support backend development in Python to ensure strong integration across the full product stack;
🔹 Improve development processes, code quality, testing, and overall engineering efficiency;
🔹 Focus on performance, reliability, and maintainability across the platform;
🔹 Participation in the on-call rotation (On-call responsibilities are not required initially but may become part of the role over time).

Interview stages:
🔹 HR Interview
🔹 Intro Call
🔹 Technical Interview
🔹 Final Interview
🔹 Reference Check
🔹 Offer

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products — and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining — and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

The client is also building out its AI platform and agentic capabilities: it recently launched an MCP surface in closed beta, giving external AI assistants a structured way to connect and perform real workflows behind guardrails, and treats agent reliability as a system property (tool contracts, approval/consent gates for write actions, evaluation harnesses).

We're looking for a Senior AI Platform Engineer to design, build and operate the shared GenAI infrastructure that product teams rely on.

Key Responsibilities:

• Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.
• Apply strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Work hands-on with LLM APIs in production.
• Apply an AI-security mindset: prompt injection defenses, PII-in-logs handling, credential handling.
• Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Kotlin or Python as primary proficiency, with comfort contributing to both.
• Experience designing/building/operating shared GenAI infrastructure: LLM routing; vector search and RAG infrastructure; MCP gateway; AI observability and evaluation tooling.
• Strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Hands-on production experience with LLM APIs.
• AI-security mindset: prompt injection, PII in logs, credential handling.
• Agent & harness engineering fluency, with concrete evidence of building/operating this kind of tooling, not just using it.
• Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.

Nice-to-Have Skills:

• Specific cloud depth (AWS and/or GCP), Grafana, or named LLM API vendors. The RFP describes these capabilities generically rather than naming specific tools for this role — listed here as plausible, not confirmed.

TimelinesAI is hiring an SEO Specialist to own organic growth — and to run it with AI agents rather than by hand. We're not looking for someone who ships two articles a month. We're looking for someone who has figured out how to direct AI to produce a lot of genuinely good content, and who knows enough about search to make sure it ranks.

If you've stopped asking "how do I write this?" and started asking "how do I get an AI to write this reliably, and how do I check that it's true?" — this is your role.

🚀 About TimelinesAI

TimelinesAI is a B2B SaaS platform helping businesses manage WhatsApp conversations with customers through a shared inbox and deep CRM integrations.

• 🌍 3,000+ clients across 40+ countries
• 📈 Sustained 2x+ YoY growth through 2025
• 💬 The most complete WhatsApp ↔ CRM integration on the market
• 🛠️ Live on every major B2B marketplace that matters to our ICP
• 🤖 AI-native operating model — every function is being rebuilt around agents

🎯 Your mission

Own organic acquisition end to end: what we publish, why it ranks, and whether it shows up when a buyer asks an AI assistant about our category.

🔍 Search fundamentals that still matter

• Own keyword and topic strategy for a B2B SaaS product with a long tail of CRM-integration and use-case queries.
• Know why classic ranking signals still count: the assistants people now ask (Claude, ChatGPT, Perplexity) largely surface the same sources that rank in search. Strong conventional SEO is what gets you cited.
• Handle the technical basics — site structure, internal linking, indexation, page performance — or know when to escalate them.

✍️ Content production at real volume

• Build and run the AI workflows that turn our raw material — sales call recordings, support threads, customer reviews, product docs, competitor listings — into publishable articles, comparison pages, and integration pages.
• We'll hand you the architecture: where the sales meetings live, which sources to connect, how our stack is wired. You won't have to guess. What you will have to do is connect it, verify it, and keep it running.
• Hold the quality line. Everything you produce goes to our subject-matter reviewer, who should be adding a quote or a couple of touches — not rewriting your draft. Knowing the difference between an AI-generated claim that's true and one that just sounds true is the core skill here.

📊 Measurement

• Own rankings, organic traffic, and the share of that traffic that turns into trials — not just word count.
• Report what's working and what you're cutting, weekly.

🧠 What you bring

• 2+ years in SEO or content marketing, ideally for B2B SaaS. You understand ranking fundamentals, not just publishing cadence.
• You are a Claude power user — Claude Code or the desktop app, used daily for real production work. This is a hard requirement, not a nice-to-have. We work in Claude, our internal agents are built around it, and we've found that people who work this way think differently about the job.
• You can wire up your own sources: connect tools, pull from APIs and transcripts, verify a claim back to its origin.
• You write clean, publishable English. Native-level not required; publishable is.
• You're comfortable being measured on output. Someone operating AI well should be producing an order of magnitude more than someone writing by hand.

💡 Bonus points

• You've built your own agent, MCP setup, or automation that produced measurable output.
• You've done SEO for a product in a crowded integration/marketplace category.
• You've worked on how a brand gets surfaced by AI assistants, not just by Google.

🧪 How we hire

• Screening question — a real use case, in your own words.
• Short call.
• Paid test task: we give you five recordings of real sales calls. You produce content from them. We look at what you produced and how you produced it.

🌎 Why join us

• Leverage, not headcount. This role exists because we believe one operator with the right AI stack beats an agency or a team running the old playbook. We've tried the alternatives; this is the bet we're making.
• Fully remote, async-friendly. Work from anywhere.
• Direct impact. Organic is a primary acquisition channel for us. What you publish shows up in the funnel.
• AI-native team. Sales, support, product, marketing — every function here is being rebuilt around agents. You'll have peers solving the same operator problem in their domains.
• Ship fast. No quarterly planning theater. If it's ready Tuesday, it ships Tuesday.

TimelinesAI is hiring a Product Marketing AI Operator to own how we position, launch, and tell the story of our product — and to run that function with a small team of AI agents instead of a small team of humans. You won't be writing every launch brief, building every battlecard, or pulling every win/loss report by hand. You'll be designing the prompts, workflows, and feedback loops that get those things done at 10x the pace, and stepping in where judgment, taste, and customer empathy actually matter.

This role sits at the intersection of positioning, GTM, customer research, and AI orchestration. If you've stopped asking "how do I do this?" and started asking "how do I get an AI to do this reliably?", we want to talk.

🚀 About TimelinesAI

TimelinesAI is a B2B SaaS platform helping businesses manage WhatsApp conversations with customers through a shared inbox and deep CRM integrations.

• 🌍 3,000+ clients across 40+ countries
• 📈 Sustained 2x+ YoY growth through 2025
• 💬 The most complete WhatsApp ↔ CRM integration on the market
• 🛠️ Live on every major B2B marketplace that matters to our ICP
• 🤖 AI-native operating model — every function is being rebuilt around agents

🎯 Your Mission: Run Product Marketing With AI

You own positioning, messaging, launches, sales enablement, and competitive intelligence for TimelinesAI. You'll operate as a force multiplier — the human in the loop directing AI agents that do the heavy lifting across every PMM workstream.

🎯 Positioning & Messaging

• Stand up AI workflows that mine customer calls, support threads, reviews, and won/lost deals to surface the language customers actually use about us, our competitors, and the problems we solve.
• Own the messaging house: value props, ICP definitions, segment-specific narratives, proof points. Agents draft and stress-test — you decide what's true and what ships.
• Keep messaging in lockstep with product reality by wiring PRDs, release notes, and changelogs into the agents that maintain our positioning docs, website copy, and pitch narrative.

🚀 Launches & GTM

• Run launches end to end: tiered launch plans, briefs, internal enablement, external comms, in-app, lifecycle, blog, social, video, and the marketplace surfaces that depend on consistent messaging.
• Operate launch agents that draft channel-specific copy, sequence assets, and assemble the launch packet — then you ship the version that's actually on-brand and on-strategy.
• Define and own launch success metrics. Activation lift, awareness in target segments, sales adoption of new positioning, pipeline contribution.

🔍 Competitive Intelligence

• Run an always-on competitive agent that monitors competitor releases, pricing changes, marketplace listings, review sentiment, and content output, and surfaces what changed week over week.
• Maintain living battlecards by segment and competitor. Agents handle the upkeep — you do the judgment calls about how we actually win.
• Translate competitive signal into roadmap input, sales talk tracks, and positioning shifts.

🛠️📢 Voice of Customer & Product Loop

• Pipe support, reviews, NPS, win/loss interviews, and call transcripts into a synthesis workflow that produces the weekly VoC digest for product and leadership.
• Run customer interview programs — recruit, schedule, prep, and recap can all be agent-assisted. The actual conversation is still yours.
• Pair with PM to make sure roadmap decisions reflect customer signal, and that launches reflect what's actually shipping.

🧠 What You Bring

• 3+ years in B2B SaaS product marketing, ideally with PLG, integrations, or messaging-channel adjacent products.
• You operate AI as a tool of trade, not as a curiosity. Daily use of Claude, ChatGPT, or similar for production work. Comfort with prompt design, multi-step workflows, and knowing when a model is wrong.
• Hands-on experience with at least one agentic or automation stack — Make, n8n, custom MCP setups, Claude/Cursor/Cline-style operators, or equivalent.
• Strong positioning instincts. You can take a feature list and turn it into a story a buyer actually cares about, and you push back when the narrative doesn't survive contact with a real customer.
• Analytical fluency — Amplitude, GA4, CRM funnel data, call analytics. You can read the numbers and you push back when the data doesn't say what someone claims it says.
• Clear writer. You'll be drafting prompts, briefs, messaging docs, and customer-facing copy that humans and models both need to act on.

💡 Bonus Points

• You've shipped your own AI workflows or internal agents that produced measurable output.
• You've led GTM for a product launch with real cross-functional load (sales, CS, lifecycle, partners, comms).
• You've owned competitive intelligence or win/loss as a program, not just an artifact.
• You're fluent in WhatsApp-as-a-channel, the messaging-CRM landscape, or the broader PLG sales motion.

🌎 Why Join Us

• Leverage, not headcount. This role exists because we believe one operator with the right AI stack outperforms a five-person team running the old playbook. You'll prove it.
• Fully remote, async-friendly. Work from anywhere.
• Direct impact. Product marketing is how the market understands what TimelinesAI is and why it's worth paying for. Your work moves activation, conversion, and retention for the whole company.
• AI-native team. Every function here — sales, support, product, marketing — is being rebuilt around agents. You'll be surrounded by peers solving the same operator problem in their domains.
• Ship fast. We don't run quarterly planning theater. If a launch is ready Tuesday, it ships Tuesday.

About us. TimelinesAI is a best selling B2B SaaS connecting WhatsApp to CRMs (HubSpot, Pipedrive, monday.com).

A lot of our work already runs on Claude Code agents. We hand you the architecture and data access.

The role. AI-first content production: articles that rank on Google and get cited in AI answers (ChatGPT, Claude, Perplexity), built from our internal data — sales calls, support conversations, product docs.

What matters

• SEO fundamentals. Search intent, ranking factors, and how ranking feeds AI-answer visibility.
• You work in Claude Code daily — specifically Claude Code, the job runs in it. Agents, not chat windows: you structure context and wire up sources. If your SEO is rewriting SERP summaries with ChatGPT — this role is not for you.

What you'll do

• Build agent pipelines that draft articles from our sales calls and support data.
• Verify every claim and source — zero AI slop.
• Ship through GitHub: drafts as PRs, feedback as review comments.

Terms

• Remote, contract, full-time

To apply. Describe one automation you've built with AI tools: what it does, which tools, how you set it up and ran it.

We are looking for a senior frontend engineer to build high-performance 3D scientific visualization directly in the browser.

You will work at the intersection of frontend engineering, GPU programming, and large-scale data visualization. The core challenge is making complex 3D and time-varying datasets interactive in the browser without requiring users to download or fully load them first.

What you will do

• Build browser-based 3D visualization using TypeScript and WebGPU.
• Render large meshes, point clouds, volumetric fields, and other scientific data.
• Integrate visualization with asynchronous and random-access data streaming.
• Design efficient GPU buffer management, caching, and incremental scene updates.
• Build React-based UI around the visualization experience.
• Profile and optimize CPU, GPU, memory, and network performance.

• Work closely with systems, backend, and GPU engineers on end-to-end data delivery.

   

What we are looking for

• Strong production experience with TypeScript / JavaScript.
• Practical experience with WebGPU, or deep WebGL experience with an interest in moving to WebGPU.
• Strong understanding of performance optimization in browser applications.
• Experience with React or another modern frontend framework.
• Good knowledge of vector math, coordinate systems, cameras, transforms, and spatial data structures.

Nice to have

• Experience with Three.js, Babylon.js, vtk.js, React Three Fiber, or custom rendering engines.
• WGSL, GLSL, CUDA, Vulkan, DirectX, or Metal experience.
• Scientific visualization experience with ParaView, VTK, VisIt, or similar tools.
• Volume rendering, isosurfaces, unstructured meshes, point clouds, particles, or large geometry.
• LOD systems, spatial partitioning, octrees, BVHs, or GPU-driven rendering.
• Background in CAD, simulation, geospatial, medical imaging, games, or visualization software.

We are looking for a senior backend engineer to build a high-performance service for streaming large datasets.

This is not a conventional CRUD backend role. You will work on persistent HTTP/3 connections, asynchronous I/O, object-storage range reads, binary data transfer, authentication, request scheduling, etc.

What you will do

• Design and build the data-streaming service in Python.
• Implement HTTP/3 and QUIC-based client-server communication.
• Integrate with S3-compatible object storage.
• Build request prioritisation, cancellation, retries, caching, and backpressure.
• Implement token-based authentication and fine-grained access control.
• Integrate Python services with native libraries and binary data formats.
• Add metrics, tracing, load testing, and failure recovery.
• Work closely with desktop visualisation and Python/ML client teams.
• Benchmark streaming performance against download-first workflows.

What we are looking for

• Strong production experience with Python.
• Experience with asynchronous Python, task scheduling, and concurrent I/O.
• Experience building high-throughput or low-latency backend systems.
• Good understanding of networking, HTTP, TLS, and binary protocols.
• Practical knowledge of S3, MinIO, Ceph, or similar object storage.
• Experience with streaming I/O, byte-range reads, caching, and memory management.
• Strong performance-profiling and debugging skills.
• Ability to design stable interfaces between independently developed systems.

Nice to have

• Production experience with C++. 
• Experience with HTTP/3, QUIC, WebTransport, or high-performance RPC.
• Background in distributed storage, CDNs, databases, filesystems, or media streaming.
• Familiarity with scientific visualisation, HPC, simulation, or large multidimensional datasets.
• Experience with CUDA or GPU data pipelines.
• Experience with OAuth, OIDC, JWT, and capability-based access.
• Knowledge of Kubernetes and OpenTelemetry.

We are looking for a senior C++ engineer to build a high-performance service for streaming large scientific and engineering datasets.

This is not a conventional CRUD backend role. You will work on asynchronous networking, HTTP/3 and QUIC, object-storage range reads, binary data transfer, native library integration, request scheduling, and bounded-memory data pipelines.

What you will do

• Design and implement the data-streaming service in modern C++.
• Build persistent HTTP/3 and QUIC-based client-server communication.
• Stream selected regions of large datasets without downloading complete files.
• Integrate with S3-compatible object storage and native data-processing libraries.
• Implement asynchronous request scheduling, prioritisation, cancellation, retries, caching, and backpressure.
• Design stable binary and JSON interfaces between independently developed components.
• Implement token-based authentication and fine-grained access control.
• Optimise memory allocation, copying, concurrency, and end-to-end throughput.
• Add metrics, tracing, load testing, and failure recovery.
• Collaborate with visualisation, machine-learning, backend, and systems engineers.

What we are looking for

• Strong production experience with modern C++17/20.
• Experience building high-throughput, low-latency, or data-intensive systems.
• Strong understanding of asynchronous and concurrent programming.
• Good knowledge of networking, HTTP, TLS, and binary protocols.
• Experience with streaming I/O, byte-range access, buffering, caching, and memory management.
• Practical knowledge of S3, MinIO, Ceph, or similar object-storage systems.
• Strong debugging, profiling, and performance-optimisation skills.
• Experience designing reliable APIs and component boundaries.
• Familiarity with Linux systems programming and production service operation.

Nice to have

• Experience with HTTP/3, QUIC, WebTransport, or high-performance RPC.
• Experience with zero-copy or low-copy data paths.
• Experience integrating C++ libraries with Python
• Familiarity with CUDA or GPU-oriented data pipelines.
• Background in distributed storage, databases, CDNs, filesystems, media streaming, HPC, or scientific visualisation.
• Experience with OAuth, OIDC, JWT, and capability-based access.
• Knowledge of Kubernetes and OpenTelemetry.

LinkedIn Job Post: Client Success Manager (Amphs AI)

Are you COMPETITIVE?

Are you RESULTS DRIVEN?

Need to be at the TOP of the leaderboard?

Do you like HELPING PEOPLE improve their life?

Then please read CAREFULLY…

We are one of the fastest-growing companies in the AI search and SEO industry and are on the hunt for A-players. We are looking for people who are eager to learn and grow in life. We are looking for people who have great work ethic & high standards. We are looking for people who want to be a part of a company that is constantly seeking ways to win and innovate.

With all that being said... We are a disciplined team that loves to celebrate, host crazy team prizes, and have fun!

We run an SEO and AI visibility agency called Amphs AI that helps law firms, dental practices, and local service businesses GROW their company on auto-pilot by making them the business that gets recommended when people search, on Google AND inside AI tools like ChatGPT, Perplexity, Gemini, and Google AI Overviews.

What makes our system work for our clients is

1. our SEO team builds the technical, local, and content foundation so the business is actually findable
   
    
2. our AEO/GEO plays get our clients cited and recommended inside AI-generated answers where their competitors aren't even showing up
   
    
3. our clients answer the phone and close the deals
   
    

We are currently growing rapidly because of how successful our service has been so we need more people to aid our communication to keep it as great as it always has been.

Position Summary

The purpose of this role is to keep clear communication between our clients and our team and to make sure we are giving them the best service possible in the most effective & efficient manner possible.

The Client Success Manager will be responsible for onboarding, check-in calls, all client communications, and project management for their respective clients.

This is a sales position. There will be lots of opportunity to upsell clients onto our higher tiers with uncapped commissions, as well as room to grow into our Client Success Director role and other avenues of growth as time goes on.

NOTE: This position is full-time and remote. Meaning you can work from anywhere. The team here at Amphs AI is located all over the world.

Here are the company core values. We call it "The Amphs Way":

1. SPEED
2. PROCESS
3. TEAMWORK / COMMUNICATION
4. INNOVATION
5. IMPACT OVER INCOME
    

READY TO APPLY? Go ahead and submit our application form

careers.amphs.ai

Job Type: Full-time

Pay: $50,000.00 - $90,000.00 per year

Bankstore is looking for a Head of Compliance to build and lead our compliance function as we scale our banking and financial products. This is a hands-on leadership role for someone who has operated inside fintech or banking-as-a-service environments and understands both the regulatory landscape and the pace of a growing company. You will own our compliance strategy end to end: from regulatory relationships and licensing to policy design, monitoring, and team building.

Department: Compliance & Risk

Reports to: Chief Executive Officer / Chief Risk Officer

Location: Remote 

Employment Type: Full-time

Key Responsibilities

• Design, implement, and lead Bankstore's enterprise compliance program, covering BSA/AML, KYC/CIP, OFAC and sanctions screening, consumer protection, and applicable state and federal banking regulations.
• Serve as the primary point of contact for regulators, sponsor banks, and banking-as-a-service partners; manage regulatory exams, audits, and inquiries.
• Own the BSA/AML program, including transaction monitoring, SAR/CTR filing oversight, and independent testing.
• Monitor the evolving regulatory environment for fintech and banking products, and translate changes into actionable policy and process updates.
• Partner with Product and Engineering to build compliance into new features and products from the design stage (compliance-by-design).
• Develop, maintain, and train staff on compliance policies, procedures, and controls.
• Manage licensing requirements (e.g., money transmitter licenses) and ensure ongoing adherence across all operating jurisdictions.
• Build, mentor, and scale the compliance team as the company grows.
• Report on compliance risk posture, key risk indicators, and exam readiness to executive leadership and the board.
• Oversee vendor and third-party risk management related to compliance obligations.

Qualifications

• 7+ years of compliance experience, including 5+ years in a compliance leadership role within fintech, a neobank, or a banking-as-a-service / sponsor bank environment.
• Deep working knowledge of BSA/AML, OFAC, UDAAP, Reg E, Reg Z, GLBA, EFTA, and state money transmission laws.
• Direct experience managing relationships with sponsor banks and navigating the bank-partnership model.
• Track record of leading regulatory exams and building a compliance function from the ground up or scaling an existing one.
• Strong people-leadership skills with experience hiring and managing a compliance team.
• Excellent written and verbal communication skills, including experience presenting to boards and regulators.
• Bachelor's degree required; JD, CAMS, CRCM, or equivalent certification preferred.

Most AI engineers build demos. You'll build the production system a client's business actually depends on.

Team: AI Delivery Practice 

Location: Remote (Ukraine/Europe) 

Employment: Full-time 

Reports to: Head of AI Delivery/Engineering, not Sales, not Customer Success

Travel: Typically 20–30%, concentrated around engagement kickoffs and go-live weeks, confirmed with you per engagement, not a surprise

The Job, Honestly

Most AI engineering jobs let you perfect a demo. This one doesn't. You get one client, one real opportunity, and six to twelve weeks to turn it into something running on live traffic — in their environment, on their data, with their security team watching. Then you do it again, for a different client, in a different industry, with a different set of constraints.

Success here isn't measured in closed tickets. It's measured in production adoption, business impact, and whether the client can run what you built without you standing over their shoulder.

If that sounds like the fun part of the job rather than the exhausting part, keep reading.

The AI Practice

You won't be the only person figuring this out. Delivery patterns each engineer builds — a guardrail design, an eval harness, a way of scoping a RAG project so it doesn't die in week 6 — get written down and reused by the next person on the next engagement. You're not starting from zero each time, and neither is the person after you.

Engagements span the kind of variety a single-product company can't offer: a RAG system on a client's live data one quarter, an agent with real write-access and real guardrails the next, a legacy enterprise stack under regulatory constraints after that.

What the Work Actually Looks Like

Discovery through production — not discovery through a slide deck

• You sit with the client's team — their repos, their data, their stand-ups — and find the AI opportunity worth betting six weeks on, not the one that looks best in a pitch

• You analyze their business processes, data landscape, and existing systems well enough to translate a business problem into a production-ready AI architecture

• You prototype it, validate it with real end users, and iterate on measurable outcomes before you've convinced yourself it's right

• You ship it — and you're still the one on call when it breaks in week two of production, not someone who inherits your code

• You capture what you learned so the next engagement, and the next engineer, start a little further ahead than you did

Before the contract is even signed

• Sales brings you into scoping calls, because "can this actually ship in 6–12 weeks" is an engineering judgment, not a sales one — and what you say shapes what gets sold

The actual engineering, once you're in

• Production LLM applications — agents, RAG, orchestration — built on whatever stack the client's environment actually runs on, not the stack that's most fun to write in

• Integrations into whatever the client already has: their APIs, identity provider, cloud, messaging systems, the legacy piece nobody wants to touch

• Reliability work that never shows up in a demo: tool-call guardrails, retries, fallbacks, human-in-the-loop checkpoints

• Eval pipelines, golden datasets, and observability — because the job isn't done at go-live, it's done when the client can run the thing on their own

• The unglamorous optimization work: latency, cost, security, maintainability — whatever the client's actual bottleneck turns out to be

Who Tends to Thrive Here

Less a checklist, more a description of the person who's already done a version of this job:

• You can talk in detail about a production AI system you shipped for an external customer — what they wanted at kickoff, what they wanted at launch, and why that changed. This matters more to us than any line on your CV

• 5+ years as a commercial software engineer, with strong fundamentals and the ability to pick up whatever stack a given engagement requires — we hire for engineering depth and adaptability, not a fixed programming language

• Fluent with at least one modern LLM platform (OpenAI, Anthropic, Gemini, Azure OpenAI, Bedrock), and comfortable in the RAG/vector/embeddings/context-engineering space without needing a primer

• You've built agents with something like LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen — and you've watched one misbehave in production, which taught you more than the framework docs did

• You can ship and run things on AWS/Azure/GCP with Docker, Kubernetes, and CI/CD — and you understand enough about IAM, auth, and networking to not be the reason the client's security team says no

• You can hold your own in a room with a skeptical enterprise stakeholder who's been burned by an AI vendor before — not by having all the answers, but by being straight about trade-offs

• Upper-Intermediate English or better, because a lot of this job is a conversation, not a pull request

Extra credit, not a requirement

• You've built eval frameworks, golden datasets, or regression tests for AI systems, or worked with LangSmith, Langfuse, Arize Phoenix, or MLflow

• You know your way around AI governance, guardrails, hallucination mitigation, or prompt injection — or MCP / A2A and where AI interoperability is heading

• You've touched Databricks, Azure AI Foundry, Bedrock, or Vertex AI at the platform level, not just the API level

• You've done consulting, solution architecture, or technical pre-sales before — or worked inside a regulated industry (healthcare, finance, telecom, government) and know why that changes everything

• You have a GitHub history, a conference talk, or a client-co-authored case study that shows this rather than just claiming it

Your First 90 Days

• Weeks 1–2: Embedded in your first client's environment, with a validated, highest-value use case identified jointly with their team — not handed to you

• Weeks 3–8: Architecture designed, prototype validated with real end users, production build underway

• Weeks 9–12: System live on real traffic, eval pipeline in place, documentation and handover ready for the client's own team to take over

What We Offer

• Competitive compensation with bonuses tied to successful production go-lives; B2B contract available

• Direct visibility into your impact — your code runs at the client, not sitting in a backlog

• No two engagements are the same: a fintech RAG project this quarter, a regulated-industry agent build next

• Certifications (Anthropic, OpenAI, AWS, GCP, Azure) and a professional development budget

• Health insurance, English classes, sports activities, and a culture that tells you the hard parts of the job up front — like we just did

If the six-to-twelve-week cycle, the client-hopping, and the "you're still holding the pager" ownership sound energizing rather than draining — this is probably your role. Send us your CV, and tell us about the production AI system you're proudest of shipping.

We're a US-based B2B SaaS company in the sales technology space. Our platform handles high-volume, real-time communication workloads for sales teams across the US. We're a small, fast-moving team. You'll have real ownership over core product systems from day one.
 

How we work — read this before applying. We ship fast and communicate constantly. Every engineer owns their issues end to end: you drive them to completion, you surface blockers within hours (not days), and you never let work sit silently. If you're stuck, you say so immediately and ask a sharp question. Getting unblocked fast is a skill we hire for. Asking early is a strength here, never a weakness. What doesn't work on this team: going quiet, letting an issue sit untouched, or waiting to be checked on. This is a full-time role and we expect full-time hours and full engagement. We won't micromanage your day, but your progress should be visible every single day through commits, PR activity, and updates, and we do pay attention to both the output and the time invested.
 

We are an AI-first engineering team — with high standards. We use Claude (Claude Code and claude.ai) throughout our entire workflow: writing code, debugging production issues, reviewing PRs, drafting documentation, and investigating incidents. You must be fluent driving agentic AI coding tools through a real codebase. But fluency is only half the requirement. You must also be the kind of engineer who never blindly trusts AI output. You review every line before it ships. You understand exactly what the generated code does, what it touches, and what could break: race conditions, edge cases, security implications, performance costs. If the AI writes it and it breaks production, that's on you. If you don't use AI tools daily, this role is not a fit. If you use them as a copy-paste machine without understanding the output, this role is definitely not a fit.
 

What you'll work on:

• Building and maintaining backend APIs and services (JavaScript/Node.js and Python)
• Real-time, high-throughput product features where latency and reliability matter
• Third-party API integrations: webhooks, OAuth, data sync jobs
• Performance and reliability work: slow query hunting, race conditions, background job/queue tuning
• Cloud infrastructure operations and scaling
   

Must-haves:

• 4+ years professional backend experience with JavaScript/Node.js, plus working proficiency in Python
• A track record of independently driving issues to completion: you break down ambiguous problems, unblock yourself, and deliver on the timelines you commit to
• Fast, proactive communication: you flag blockers same-day and ask questions early instead of spinning
• Daily, fluent use of Claude Code or comparable agentic AI coding tools
• Proven ability to review, understand, and take full ownership of AI-generated code: you can explain every change in a PR and its downstream implications
• Strong database fluency across relational (MySQL), columnar/analytical (ClickHouse), and NoSQL databases: you can read a slow query log and fix the problem
• Experience with modern backend MVC frameworks
• Experience integrating third-party APIs and building webhook systems
• Comfortable debugging production issues independently: logs, metrics, tracing
• Strong written English for async communication in Slack and project management tools
• Reliable internet and backup power (this is a production-critical role)
   

Nice-to-haves:

• Experience with real-time communication systems (VoIP, telephony, messaging, or streaming)
• Redis, job queues, event-driven architecture
• Cloud infrastructure experience (any major provider)
• Experience writing CLAUDE.md files, custom skills/commands, or MCP integrations
   

Schedule: Remote, full-time on US business hours. Most of our team works US time and we collaborate live during the day, so you should expect to work a US-hours schedule (any US timezone works). If that doesn't fit your life long term, this role isn't the right one.
 

How to apply:
Start your application with the word "BLUEPRINT" so we know you read this. Then include:

1. A short note on the most complex production bug you've personally diagnosed and fixed (what it was and how you found it)
2. A time you were assigned something ambiguous or outside your expertise. How did you get unstuck? How long did it take you to ask for help?
3. A specific example of a time you caught a mistake, bug, or bad assumption in AI-generated code before it shipped. What did the AI get wrong and how did you spot it?
4. Which AI tools you use daily and for what tasks
5. Links to code you've written (GitHub, or a description of relevant work)
6. Your expected monthly salary and earliest start date

Applications that skip these questions or answer them generically will not be considered.

Team Summary

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.

We specialize in testing across integration, E2E, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.

The team contributes to the development of AI features and embedded systems.

Job Summary

We are looking for a QA Team Lead who will own and drive QA strategy and processes across multiple programs, aligning testing approaches with business needs and evolving them as requirements change.

Responsibilities and Duties

• Ensure the team adheres to testing best practices, meets division-level quality standards, and delivers outcomes aligned with stakeholder expectations. 
• Track and analyze testing metrics and results to provide clear quality status reports at each SDLC milestone. 
• Plan QA activities, support engineers with task estimation, and define test scopes. 
• Allocate QA resources across features, review performance, and mentor direct reports and team members.
• Help the team with difficult or urgent tasks or tests
• Support ongoing automation

Qualifications and Skills

• 5+ years of experience as a QA engineer
• 2+ years of experience in a leading role
• Basic knowledge in computer vision and machine learning
• Understanding and hands-on experience with embedded systems testing
• Automation skills with Python (ability to read a script, maintain tests and reuse existing code)
• Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
• Experience with databases and SQL
• Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
• Experience with CI tools (Jenkins)
• Experience in mobile testing
• Ability to work from our lab location in Gdansk

Nice to have

• Basic experience with Raspberry Pi
• Hands-on experience in Bash scripting
• Familiarity with AWS services
• ISTQB Certification Advanced Test Manager

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews.
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law.
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations.
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.