Jobs at Djinni

Are you detail-obsessed, analytical, and ready to learn how e-commerce actually works at scale?

Argo Brands is a US-based consumer goods company with four active brands — including top-selling Amazon products with 50,000+ reviews. We sell across Amazon, TikTok Shop, Shopify, Walmart, Target, Kohl's, and Snappy. We're growing fast and need a sharp, reliable person to support our marketplace operations team.

This is an entry-level role. We're not looking for someone who already knows everything — we're looking for someone who is organized, analytical, persistent, and genuinely excited to learn how marketplace operations work from the inside. We'll invest in training you. In return, we need someone who takes ownership, catches mistakes before they become problems, and doesn't need to be chased.

What You'll Do

• Support day-to-day operations across four retail marketplaces: Walmart, Target, Kohl's, and Snappy
• Create and optimize product listings — titles, descriptions, bullet points, keywords, images
• Build and maintain spreadsheets, trackers, reports, and dashboards
• Monitor advertising performance and key business metrics across platforms
• Track P&L, profitability, and operational KPIs
• Automate repetitive tasks using AI tools and help improve team workflows
• Analyze data and flag opportunities or issues to the team
• Prepare reports, summaries, and presentations for management
  
  Who We're Looking For
• We're open to two profiles:
• Students or career-starters with no direct experience — if this is you, what matters most is strong English (written and spoken), an analytical mindset, high attention to detail, and the ability to stay focused and accurate on repetitive tasks for extended periods. If you're the type who notices errors others miss and takes pride in clean, structured work — we want to hear from you.
• Candidates with 1+ year of experience on Amazon, Walmart, or any other marketplace — your hands-on knowledge of listing management, advertising metrics, or operational workflows is a strong advantage.
  
  You're the Right Person If
• You take ownership and drive tasks to completion without needing constant check-ins
• You notice inconsistencies, errors, and missing information before they become problems
• You organize information clearly and naturally create repeatable processes
• You're proactive — you identify opportunities for improvement and suggest solutions
• You're a fast learner who adapts quickly to new tools, platforms, and workflows
• You actively use or are genuinely curious about AI tools to improve productivity
• You're comfortable working with data, metrics, and performance analysis
• You perform well in a fast-paced environment where priorities shift
• You can stay focused and accurate on repetitive, detail-oriented tasks over time
  
  Hard Skills (Required or Learnable)
• Strong Excel or Google Sheets skills — or a clear ability and willingness to develop them
• English proficiency — written and spoken (this is a must, as all work is in English)
• Basic understanding of e-commerce or marketplace logic (Amazon, Walmart, or similar) is a plus, not a requirement
• Familiarity with AI tools (ChatGPT, Claude etc.) is a strong plus
  
  What We Offer
• Full training and mentorship — we'll teach you how marketplace operations work at a real scale
• Remote work
• A front-row seat to how a multi-brand US e-commerce company operates across major retail platforms
• Real responsibilities from day one — this is not a "shadow someone" internship
• Clear growth path as you develop expertise
• A fast-moving, international team that values ownership and initiative

We are looking for a Senior Full-Stack Developer (AI-Native) to join the project full-time. This person will own the full stack — backend, frontend, and AI/agent layer — with no splitting between projects. They need to be a thinking partner, not an executor — someone the client's technical leadership wants to work with directly.

Your responsibilities will include:

• Own the full stack end-to-end — backend, frontend, and AI/agent layer — architecture decisions, performance work, integration, testing — without hand-holding.
• Work directly with the client's technical leadership as a thinking partner.
• Build and maintain LLM-powered agent systems with observability, evaluation, and structured tracing.
• Cover backend, frontend, and infrastructure independently — no "that's not my area."
• Use AI-assisted development (Claude Code or equivalent) fluently and extensively as a primary tool.

What we expect from you:

Core stack — Backend:

• Python — FastAPI, SQLAlchemy, Alembic.
• PostgreSQL + PostGIS — spatial data modelling, multi-tenant isolation at the database, session, and repository layers.
• Redis — async task queues.
• Unit & integration tests — Pytest.

Core stack — Frontend:

• React + TypeScript — strict typing; comfortable with generics, discriminated unions, and type inference.
• Next.js — App Router, Server Components, server-side data fetching, middleware, Server Actions.
• Zustand — store design, selectors, SSR hydration concerns.
• Unit & integration tests + E2E — Vitest, Cypress or equivalent.

AI / Agent Layer:

• LLM-powered agents — SSE, tool-use patterns, prompt engineering.
• Observability & evaluation — structured tracing of agent runs and tool calls, usage tracking, analytics.

Infrastructure:

• AWS — ECS, S3, containerized deploys.
• Terraform — infrastructure as code.
• CI/CD — GitHub Actions.

Engineering Practices:

• Static typing — Pyright as CI gate; type hints on every signature, no escape hatches.
• Multi-tenancy — tenant isolation at the database, session, and repository layers.
• Git discipline — conventional commits, granular atomic history, clean PRs.

Tooling — AI-assisted development (Claude Code):

AI is a primary, everyday tool on this project, not an occasional helper. We expect a candidate who has moved well beyond ad-hoc prompting and treats their AI setup as part of their engineering craft.

• AI-native development — non-negotiable. Daily, extensive, fluent use of Claude Code (or equivalent) for reading, writing, refactoring, debugging, and navigating a large codebase. Working without AI in the loop is not how this team operates.
• Plain prompting is not enough. "Ask ChatGPT a question and paste the answer" is the baseline we expect candidates to be past. We're looking for someone who engineers their AI workflow: rich structured context, project conventions and reference examples fed to the model, clear scoping, iteration, and rigorous review of generated output.
• Skills, Hooks, Subagents— must understand, must be able to build, and already uses in real work. The candidate should be able to clearly explain what each is, and — critically — has already created and uses them day-to-day, not just heard of them:
  • Skills — reusable, on-demand instruction/knowledge packages that extend the agent's competence for a given task type (e.g. scaffold a module, generate a PR, run a review) and encode the team's conventions.
  • Hooks — deterministic, automated triggers on lifecycle events (pre-commit, before/after edit, on stop, etc.) executed by the harness itself — e.g. auto-running lint/typecheck/tests on changed files, or guarding protected areas.
  • Subagents — delegating multi-step or parallel work (large refactors, audits, codebase research) to scoped agents, with verification of their output.
• MCP awareness — understands the Model Context Protocol and how to connect AI to real context and tools (codebase, Git, issue tracker, browser, observability) rather than working blind. Hands-on MCP usage is a strong plus.
• Structured change management — artifact-driven workflow from exploration through implementation to verification.
• Critical, not credulous — reviews everything the model produces, never commits code they don't understand, knows where AI accelerates the work (boilerplate, tests, scaffolding, exploration) and where it does not (complex domain/architecture logic). AI is a force multiplier for their own thinking, never a copy-paste crutch.

Soft skills / Mindset:

• Initiative — proactively asks questions, proposes solutions, flags issues without being asked.
• Software Engineering Mindset — understands fundamentals, not just framework recipes; can reason about problems from first principles.
• Comfortable with the unknown — says "I don't know, let me find out," explores and digs in.
• Thinks aloud — communicates where they are, what they're considering, what they're unsure about.
• Fast — moves quickly without sacrificing quality; comfortable with startup pace and shifting priorities.
• Collaborative but opinionated — contributes ideas, challenges assumptions respectfully.
• English — B2+ — daily verbal and written communication with the client and their team; working proficiency minimum.

What We Offer:

• Work at a Top-employer company (according to DOU 2025).
• A strong culture built on empathy, trust, openness, and real care for employees.
• Competitive compensation with regular reviews.
• Paid vacation and sick leave.
• Medical insurance.
• Personal learning budget and access to top HR tools, platforms, and practices.
• Team events and regular team-building activities.
• Flexible hybrid work model with an office in central Kyiv.

Build the most meaningful apps on the latest web technologies!

ABOUT ELEMENTICA

Welcome to Elementica! We are excited to see you on our profile. Elementica is a leading global software development company – expert in delivering web development, mobile application development and IT consulting services of any complexity to clients worldwide.

www.elementica.io

JOB POSITION

We are looking for a talented Python Developer to join our Development Team on a full time long term basis. You will be at the core of our talented Web Apps teams and focus on building the most advanced and meaningful apps and workflows on the latest web technologies.

RESPONSIBILITIES AND DUTIES

As a Python backend engineer, you will play a key role in further ecosystem technical implementation and enhancement. We expect and encourage you to take initiative and be result-oriented and proactive in communication, architecture design, technical implementation, testing and reporting.

We are Product oriented developers with a growth mindset. We are curious problem solvers and we like to collaborate, communicate, share knowledge and technical ideas and grow together.

What you’ll do:

• Comunicate with the product owner and internal management team to perfectly understand domain area, specific tasks and their end goals proir to technical implementation
• Design and document architecture of the module / feature prior to its actual coding
• Write clean, well documented Python code, covered with the end-to-end and unit tests, following clearly defined internal style guides and best practices
• Do thorrough testing of the written code and implemented functionality in order to make sure it works according to the requirements and doesn`t produce new bugs
• Participate in regular stand ups with the end client.

What we look for in you:

• Results-orientation, collaborative, pragmatic and agile mindset
• Strong knowledge in working with FastAPI
• Independence and responsibility
• Working proficiency in English (written and verbal)
• Continuous learning

We are looking for these skills/experience:

• Strong knowledge of FastAPI Python framework
• Understanding of new Python features, 3.12+ versions are used on our projects
• Strong knowledge of Alembic & SQLAlchemy ORM v2.+
• Experience working with OpenAI and similar APIs (Prompt engineering, integrations)
• Experience or at leats clear understanding in writting both end-to-end and unit tests using PyTest
• Understanding of common development principles and best practices (SOLID, DRY, YAGNI), design patterns and Modular Monolithic Architecture
• Experience working with Docker and Docker Compose
• Experience in CI/CD processes is a plus
• Experience with web performance optimizations

What we offer:

* The opportunity to drive the development of cutting-edge software products

* The chance to work on interesting technical challenges such as advanced algorithms, wide integrations or scalable content management

* A positive, highly skilled, young team with a focus on quality

* Hybrid working possibility / Home-office friendly / Flexible working hours

* Pick your own gear: Linux or IOS - whatever works best for you

* A lot of room for your own ideas. We always highly encourage you to work on them together with the team.

* Outstanding compensation based on experience and 20 days vacation

* Sponsored training opportunities with Udemy

Our job offer Python Developer sounds interesting? Then we are looking forward to receiving your application!