Jobs AI

Bitmedia Labs is an international product company founded in 2014. Today, we’re a team of 150+ specialists working globally, building products used by millions worldwide.

Our work spans two core areas:
• Game Development — browser-first games for global audiences, centered on reward-driven progression and long-term engagement.
• Digital Advertising — high-performance advertising and affiliate platforms across Web2 and Web3 markets.

We believe great products are built by people who take ownership — shaping direction, making decisions, and seeing their work turn into real impact. Now, we’re looking for a 2D Motion Designer / AI Creator to join the team and help us move our products forward.

Requirements:
• 1+ years of commercial experience in 2D Motion Design, with a strong portfolio or showreel;
• Confident Adobe After Effects skills;
• Good visual and Motion Design foundation, including composition, typography, animation principles, timing, and pacing;
• Basic video editing and compositing skills;
• Ability to understand a creative brief and translate it into an engaging motion solution;
• Experience working with footage, graphics, brand assets, and UGC;
• Basic understanding of short-form social media and digital advertising content;
• Interest in AI-assisted creative production and willingness to develop AI Creation skills;
• Ability to work with feedback, learn quickly, and collaborate effectively with Design and Marketing;
• English — B1+ for reading briefs, writing short updates, and discussing day-to-day tasks.

Responsibilities:
• Create advertising and promotional motion videos for social media, including Reels, TikTok, Shorts, Stories, and feed ads;
• Analyze briefs, communication goals, audience information, references, and project requirements before starting production;
• Research relevant references, trends, and visual approaches when needed;
• Contribute to creative concepts and explore solutions through sketching, storyboards, styleframes, or animatics when appropriate;
• Create 2D animations in Adobe After Effects, including typography, transitions, kinetic text, basic VFX, and logo/product animations;
• Edit and adapt existing footage, brand assets, graphics, and UGC into engaging social media creatives;
• Use AI tools to generate or enhance assets and video fragments and integrate them into Motion Design and video production workflows;
• Iterate creatives based on briefs, feedback, creative direction, and brand requirements;
• Adapt creatives and prepare multiple versions for different channels and placements, including 9:16, 1:1, and 16:9;
• Prepare and export final files for publishing according to technical requirements;
• Meet agreed deadlines and communicate progress, blockers, and changes early;
• Maintain organized project files and follow established brand guidelines;
• Learn from feedback and available performance data to continuously improve future creatives.

Nice to Have:
• Experience with AI image or video generation tools and generative workflows such as image-to-video, video-to-video, or AI-assisted editing;
• Experience creating advertising or performance marketing creatives;
• Experience working with gaming, digital entertainment, or similar consumer products;
• Interest in gaming and the gaming industry;
• Experience with character, illustration, product, or UI animation;
• Basic understanding of sound design and audio synchronization;
• Interest in creative performance metrics and using data to improve creative decisions;
• Experience with additional Adobe Creative Suite tools;
• English — B2+.

Hiring process:
• Intro call with a Recruiter — Test task — Technical Interview — Сollection of recommendations — Offer.

Why join Bitmedia Labs?
We care about what we build — and about the people who build it. Our teams work closely together, share responsibility for the product, and support each other in everyday challenges.

As part of the team, you’ll have:
• Professional growth through products operating at global scale;
• The opportunity to experiment, bring ideas to life, and influence product decisions;
• Collaboration with strong, experienced teammates who value quality and teamwork.

We also support you with:
• Flexible schedule and the option to work remotely or from our hubs in Kyiv, Warsaw, and Berlin;
• Competitive compensation, regular performance reviews, paid vacation, sick leave, and public holidays;
• Modern Apple equipment and thoughtful corporate gifts for holidays and personal milestones;
• Support for your growth: courses, workshops, and conferences.

Through our charity foundation Bit Spilka, led by volunteers from our team, we support the military, medics, and civilians across Ukraine — delivering over $500,000 in aid to date. Here your work also drives social impact, and you can also join our volunteer initiatives.

If this resonates with you — send your CV and join us.
Let’s foster the world together!

We’re looking for a Project Manager to lead AI data annotation projects for Computer Vision customers.

This is an operations-heavy role. You won’t be managing software development sprints. Instead, you’ll be responsible for delivering large-scale AI datasets on time, at the expected quality, and within budget - and for facilitating communication between customers and delivery teams, translating client needs into execution and keeping both sides aligned.

What you’ll do

• Own multiple customer projects from kickoff to delivery
• Coordinate cross-functional teams (Operations, QA, Solutions, Finance)
• Manage timelines, priorities and project risks
• Work directly with enterprise customers
• Act as the point of contact for client escalations, drive issue resolution and communicate project status
• Monitor quality, productivity and delivery metrics
• Make operational decisions every day to keep projects moving
• Improve internal processes and automate repetitive work whenever possible

What we’re looking for

• Proven experience in AI/ML data annotation or data labeling operations - this is a must, not a nice-to-have
• A track record of managing complex, large-scale projects (exact years of PM experience matter less than real cases and results)
• Advanced (C1) English or higher, confident written and spoken client communication
• Excellent communication skills, with proven experience engaging senior/C-level stakeholders and a strong ability to summarize complex situations clearly and concisely
• Ability to manage multiple projects simultaneously
• Comfortable working in fast-changing, ambiguous environments - juggling shifting priorities without losing structure
• Strong ownership mindset
• Data-driven decision making
• Experience with Jira, Slack, Google Workspace, Excel/Sheets, and similar project management / collaboration tools (e.g. Asana, Notion)
• Ability to learn technical concepts quickly

Nice to have

• Computer Vision projects experience
• People/team management experience (not just projects)
• Experience working with distributed/remote annotation teams
• Background in outsourcing, BPO, or vendor management
• Process automation experience

This role is probably NOT for you if

• You only enjoy software development projects.
• You prefer having detailed specifications before starting work.
• You dislike operational problem solving.
• You don’t enjoy talking to customers.
• You expect every day to be predictable.

You’ll probably enjoy this role if

• You like solving new problems every day.
• You enjoy building processes instead of following them.
• You take ownership instead of waiting for instructions.
• You like working with AI technologies.
• You enjoy making complex operations run smoothly.

Are you energized by walking into a client’s operation, finding the workflow that’s actually holding them back, and rebuilding it so AI handles the parts that don’t need a person? At Sigma Software, we don’t just add AI on top of existing processes  we redesign how the work gets done, with AI built into the operating logic from day one.

We’re looking for a Forward AI Deployment Engineer to own that redesign end to end: embedded with the client, hands-on with whatever automation the workflow actually needs, and accountable for turning a real operational problem into something running in production not a demo, not a pilot. Each engagement is built to leave something behind for the next one patterns, infrastructure, governance that already held up in production  so the second engagement doesn’t start from zero, and the tenth looks nothing like the first.

Requirements

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox.
• You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and you’re strong and current enough with all of them to actually use them that way.
• Comfort mapping decision logic that’s partly undocumented, and judgment about where automation should stop and human accountability should start.

• Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked.

   

  Responsibilities

   

• Embed directly with the client’s operational team to find the workflow that’s actually costing them time, quality, or money before recommending any tooling.
• Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
• Translate a vague, cross-functional business problem into a concrete technical plan the client’s team can actually execute against.
• Prototype fast enough to show the client what’s possible, then build only the parts of that prototype the redesigned workflow actually needs.
• Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
• Manage stakeholder alignment across the client’s org, escalating early and requesting support before a blocker becomes a delay.
• Build up the client’s own team alongside the system pair with their people, explain the reasoning behind each decision, and leave them able to run and improve what you built after you’ve moved to the next engagement.
• Build the feedback loop from day one  telemetry, evaluation pipelines, human-in-the-loop review — so the system keeps improving after you’ve moved on.

We are looking for a Senior Automation QA Engineer who will be responsible for developing and driving test automation on the project, with a strong focus on applying AI to QA and test automation.

This is a hands-on engineering role. You will write and maintain automated tests, improve the automation framework, contribute to the automation strategy, and work closely with the QA Lead and development team.

You will work under the QA Lead, who owns the overall QA direction, while you will be responsible for the automation side of the project - from developing and maintaining tests to proposing and implementing new approaches, tools, and practices.

We are looking for someone who is proactive, takes responsibility for their area, and doesn't simply wait for tasks to be assigned. Someone who can identify a problem, suggest a better approach, and take it through to implementation.

AI is already an active part of our QA and development workflow. We use AI/LLM tools such as Claude to accelerate and improve our engineering processes, and we want to take this further.

In this role, you will use AI not just as a coding assistant, but as a tool for rethinking and improving test automation - from test creation and maintenance to analysis, debugging, and optimization of QA workflows.

You will have the opportunity to:

• Use Claude and other AI/LLM tools in day-to-day test automation and development.
• Identify opportunities to integrate AI into test creation, maintenance, analysis, and debugging.
• Develop and implement AI-driven approaches to test automation.
• Experiment with LLMs and AI agents to automate repetitive QA tasks.
• Evaluate new AI capabilities and turn them into practical solutions for the project.
• Continuously look for ways to make automation faster, smarter, and more scalable.
   

What You Will Do

• Develop and maintain automated UI tests using TypeScript / Playwright.
• Develop, improve, and scale the automation framework.
• Be responsible for the automation side of the project and continuously improve it.
• Contribute to and continuously improve the automation strategy and approach.
• Proactively identify gaps, bottlenecks, and opportunities for improvement in test automation.
• Propose and implement new automation approaches, tools, and best practices.
• Automate testing of new product features and improve overall test coverage.
• Work closely with the QA Lead, QA engineers, and developers to ensure high product quality.
• Evaluate new automation and AI tools and introduce those that bring real value.
• Help improve and scale automation practices across multiple projects and platforms.
   

Requirements

• 4+ years of experience in QA automation.
• Strong hands-on experience with JavaScript / TypeScript.
• Strong experience with Playwright or a similar modern automation framework.
• Strong understanding of TypeScript and automation architecture.
• Experience designing, building, or significantly improving automation frameworks.
• Strong understanding of web application testing and testing theory.
• Experience with cross-platform testing.
• Experience working across multiple projects or products.
• Strong Git skills.
• Ability to independently make technical decisions related to automation.
• A proactive mindset and willingness to identify problems, propose solutions, and implement improvements.
• Practical experience with AI/LLM tools such as Claude, ChatGPT, GitHub Copilot, or similar.
• Understanding of how AI can be applied to software testing and test automation.
• Genuine interest in AI-driven QA and test automation.
• Ability to evaluate new technologies critically and turn promising ideas into practical solutions.
   

Nice to Have

• API automation experience.
• CI/CD and DevOps experience.
• Docker and cloud-based testing.
• Experience building AI-powered QA tools, agents, or workflows.
• Experience with self-healing or AI-assisted test automation.
• Python or another programming language.
   

What We Offer

• Remote work with a flexible schedule.
• The opportunity to develop and drive test automation on the project.
• Freedom to propose and implement new automation approaches and technologies.
• An environment where AI is already part of the workflow, with the opportunity to take its use in QA and automation further.
• A real opportunity to improve how automation is built, maintained, and scaled.
• Competitive salary.
• Paid vacation and sick leave.
• A collaborative team that values initiative, technical curiosity, and a passion for technology.
   

Who We Are Looking For

We are looking for a proactive and hands-on Senior Automation QA Engineer who takes responsibility for improving automation rather than simply completing assigned tasks.

You will work under the QA Lead, who owns the overall QA direction, while you will be responsible for developing and driving automation on the project.

We value people who notice problems, ask questions, suggest better approaches, and are willing to take an idea from “we could improve this” to actually implementing it.

This is a hands-on engineering role, not a management position. You will be writing automation, improving the framework, experimenting with new tools, and applying AI to make QA processes more efficient and scalable.
 

If you are someone who doesn't wait to be told what to improve, enjoys taking initiative, and wants to make a real impact on test automation - we'd love to hear from you.

Project description

We are looking for two Senior AI Engineers to join the project, where the team is building an AI platform with agentic capabilities and knowledge-graph-based solutions.
The team currently consists of three engineers and two Project Managers. The engineers will join as hands-on contributors and work closely with the existing team to design, build, and evolve the platform.

Requirements
- Strong professional experience in AI/ML engineering or software engineering with a significant focus on AI.
- Proven hands-on experience building agentic systems, AI agents, or multi-step AI workflows.
- Strong understanding of how agentic systems work beyond simply using existing AI tools or APIs.
- Deep hands-on experience with AWS, including designing and implementing cloud-based solutions.
- Experience with AWS Bedrock, preferably with Claude models.
- Experience working with OpenAI models and APIs.
- Strong programming skills in Python or another relevant language.
- Experience designing and integrating APIs and production-grade services.
- Practical experience with knowledge graphs, graph databases, or graph-based reasoning.
- Strong problem-solving and communication skills.
- Ability to work independently in a hands-on engineering role.

Nice to Have
- Experience with AWS Neptune.
- Experience with Neo4j.
- Experience designing knowledge graph architectures.
- Experience with graph query languages such as Gremlin or Cypher.
- Experience with AI agent frameworks or orchestration tools.
- Experience with RAG, tool use, function calling, planning, memory, and agent evaluation.
- Experience deploying and operating AI systems in production.

Responsibilities
- Design and implement agentic AI systems and workflows.
- Develop production-ready AI platform components using large language models.
- Work with knowledge graphs and graph-based data structures.
- Build integrations with AWS AI and cloud services.
- Contribute to the architecture and implementation of scalable AI solutions.
- Develop, test, debug, and optimize hands-on solutions.
- Collaborate with engineers and Project Managers to deliver project objectives.
- Investigate new approaches and technologies relevant to agentic AI and knowledge graphs.

Team: Three engineers and two Project Managers

The company is seeking a creative and detail-oriented Tech Art Auditor to join a team dedicated to producing engaging mobile game ads using cutting-edge AI technology. This role focuses on reviewing, refining, and enhancing AI-generated 2D and 3D assets to ensure high-quality visual output for mobile game advertisements.
 

This is an excellent opportunity for candidates eager to gain hands-on experience in tech art, 3D/2D production, and AI-assisted content creation within a dynamic and fast-paced environment.

 

What You’ll Do:
 

• Evaluate AI-Generated Content
  Review AI outputs, spot imperfections, and provide actionable feedback to improve overall quality.
• 3D Editing in Blender
  Modify and optimise low-poly 3D models, adjust shading, and ensure assets are production-ready.
• 2D Image Editing & Asset Creation
  Edit images, create visual elements, and prepare polished assets for mobile game ads.
• Work With Generative AI Tools
  Use AI-driven software to generate, refine, and enhance art assets efficiently.
  
   

What You’ll Bring:
 

Core Skills Required:

• Blender expertise for model editing, shading, and optimisation
• 2D editing proficiency (image editing & asset creation)
• Familiarity with generative AI tools and workflows
• Strong attention to detail and ability to critique, refine, and polish visual assets
• Passion for mobile gaming - especially casual and mid-core titles
  
   

Why This Role Stands Out:
 

• Work with innovative AI technologies shaping the future of game advertising
• Join a creative, fast-moving environment that encourages experimentation and growth
• Build valuable experience across 3D, 2D, and AI-driven art production
• Ideal for candidates at the beginning of their tech art career who want meaningful, practical hands-on experience
• Long-term cooperation, B2B collaboration, remote flexibility, and loyal management
  
   

Why You Should Submit Your CV & Contact Information:
 

To be considered, candidates must leave their CV and contact details so the team can:

• Evaluate your technical skills and portfolio
• Match your experience to the right projects
• Invite you for next-step discussions
• Keep in touch regarding future AI-art opportunities
  
   

Leaving your CV ensures you don’t miss out on a role that can accelerate your growth in tech art and AI-assisted asset creation.

Our client is an Israel-based technology company rebuilding a strategic military simulation and decision-support platform.

The product is designed to model modern multi-domain conflict across land, air, maritime, subsurface, cyber, information, and cognitive domains. Its technical direction combines generative AI with formal knowledge, structured world models, and explainable reasoning.

This is a full-time, long-term role. The team is being formed as the product develops, and this role will own a core part of its semantic and reasoning foundation.

The Role

We are looking for a Senior Knowledge Graph Engineer to design and build the semantic layer of the platform: ontologies, knowledge models, inference logic, and explainable reasoning.

This is not a generic graph-database role. We need someone who can apply RDF, OWL, Semantic Web principles, SPARQL, and ontology-based reasoning to a complex real-world product.

What You’ll Do

- Design the ontology and knowledge-graph architecture for a complex military-simulation domain.

- Model entities, relationships, events, constraints, rules, and operational scenarios.

- Build RDF, OWL, and SPARQL-based semantic models and queries.

- Implement ontology-based reasoning, automated inference, and explainable logical conclusions.

- Work with the AI Architect to connect structured knowledge and reasoning with LLM and generative-AI capabilities.

- Translate input from domain experts into maintainable and extensible software models.

- Build practical, production-grade semantic components rather than research-only prototypes.

- Help establish the technical foundations of a growing product team.

What You Bring

- Strong hands-on experience with knowledge graphs, ontologies, and Semantic Web technologies.

- Practical expertise with RDF, OWL, SPARQL, ontology engineering, and semantic reasoning.

- Experience with automated reasoning, inference engines, rule systems, or explainable AI.

- A track record of building real products or production systems based on knowledge graphs or semantic technologies.

- Strong understanding of knowledge representation and how to model complex, evolving domains.

- Ability to work closely with AI engineers, software architects, and domain experts.

- Experience in defence, military, intelligence, command-and-control, operational planning, or military simulation is strongly preferred.

Nice to Have

- Experience with Stardog, GraphDB, Apache Jena, Protégé, or comparable semantic technologies.

- Experience with Neo4j in a semantic, ontology, RDF, or reasoning-oriented context.

- PhD or strong research background in AI, knowledge representation, logic, Semantic Web, formal methods, mathematics, or a related field.

- Experience combining knowledge graphs and ontologies with LLMs or generative AI.

- Experience with neuro-symbolic AI or structured world models.

About the Client

Our client is an Israel-based technology company rebuilding a strategic military simulation and decision-support platform.

The product is designed to model modern multi-domain conflict across land, air, maritime, subsurface, cyber, information, and cognitive domains. It will support human-vs-human, human-vs-AI, and AI-vs-AI scenarios.

This is a full-time, long-term role. The team is being formed as the product develops, and this person will have a meaningful influence on its technical direction and architecture.

The Role

We are looking for a hands-on AI Architect / Technical Lead to help redesign an existing prototype and turn a complex strategic-simulation concept into a working product.

You will own key architectural decisions across AI, simulation, knowledge representation, and system design. The product direction combines LLMs and generative AI with formal knowledge, rules, structured world models, and symbolic reasoning.

What You’ll Do

- Define and own the overall software and AI architecture of the platform.

- Lead the technical redesign and hands-on development of the existing prototype.

- Design simulation, decision-support, and AI-driven components for multi-domain military scenarios.

- Combine LLMs and generative AI with formal knowledge, rules, symbolic reasoning, and structured world models.

- Build practical prototypes quickly while establishing a clear path toward a robust production product.

- Work directly with domain experts to translate military and operational concepts into usable software models.

- Drive technical decisions, evaluate trade-offs, and set architectural standards as the team grows.

What You Bring

- Strong hands-on experience in software and AI architecture for complex products.

- Practical experience with LLMs, generative AI, and neuro-symbolic or symbolic-AI approaches.

- Experience with knowledge representation, knowledge graphs, ontologies, structured world models, or rule-based systems.

- Proven ability to move from ambiguous concepts to working software and prototypes.

- Strong product-engineering mindset: you can design, build, and iterate, not only research or advise.

- Relevant experience in military simulation, wargaming, defence software, command-and-control systems, operational research, military decision support, or a closely related domain.

- Ability to take technical ownership in an early-stage, fast-moving environment.

Nice to Have

- Experience with professional or serious wargaming systems.

- Experience with simulation or game-engine technologies.

- Experience building AI agents or multi-agent systems.

- Background in military AI, defence technology, intelligence, or operational planning.

- Experience with explainable AI, formal logic, automated reasoning, or semantic technologies.

We’re looking for a Principal Solutions Architect with a strong Front-End focus to lead the technical direction of high-traffic, headless e-commerce projects for major retail brands.

This is not a general software architect role. We specifically need an experienced e-commerce architect who can own front-end architecture, web performance, and technical direction across distributed engineering teams and client engagements.

Location: Europe, LATAM, or Canada.

Tools: React, Next.js, TypeScript, Shopify Plus / Salesforce Commerce Cloud / Big Commerce / SCAYLE, Vercel, CI/CD pipelines, Cursor and/or Claude Code, ChatGPT, Jest, Cypress, Playwright, Slack, Jira, Confluence.

Responsibilities:

• Own scalable front-end architecture using Next.js, React, and TypeScript for enterprise e-commerce projects.
• Lead decisions around rendering, state management, data fetching, caching, CDN, and performance.
• Translate business requirements into architecture roadmaps and actionable user stories with acceptance criteria and technical dependencies.
• Work directly with clients, explain architectural trade-offs, and resolve ambiguity before development.
• Provide technical direction to distributed teams and address architectural drift.
• Establish architecture standards, ADRs, coding conventions, and technical documentation.
• Drive Core Web Vitals and measurable web performance improvements.
• Define specifications and technical context that enable both engineers and AI agents to deliver reliable, reviewable code.

Requirements: 

• 3+ years leading front-end architecture and technical direction for distributed engineering teams.
• Strong enterprise e-commerce experience — mandatory. Experience architecting solutions with Shopify Plus, Salesforce Commerce Cloud, BigCommerce, or a similar enterprise commerce platform.
• Deep expertise in React, TypeScript, and modern Next.js, including App Router and React Server Components.
• Strong knowledge of SSR, caching, CDN/edge delivery, serverless patterns, and modern web architecture.
• Proven production experience improving Core Web Vitals (LCP, CLS, INP) with measurable results.
• Experience communicating architectural decisions and trade-offs to clients and non-technical stakeholders.
• Strong spoken and written English.
• Experience with AI-assisted/agentic engineering beyond personal AI tool usage — writing specifications, acceptance criteria, documentation, and technical context that AI agents can reliably execute against.

Nice to Have:

• Headless commerce architecture experience.
• Shopify Storefront API, SFCC Composable Storefront, BigCommerce, or similar.
• Headless CMS: Contentful, Sanity, Contentstack.
• Vercel, CI/CD, Jest, Cypress, or Playwright.

What We Offer: 

• Competitive compensation and benefits package.
• Fully remote position with a distributed, async-first team.
• Opportunity to shape the architecture of high-traffic commerce platforms for major retail brands.
• Direct collaboration with clients and experienced engineering teams.

Hands-on Tech Lead / Senior Tech Lead — Python / AI / SaaS

About Ender Turing

Ender Turing is a product-focused AI startup building conversation intelligence solutions used by international companies in real production environments.

We’re a small team of 12+ people across engineering, product and customer-facing roles, building an AI platform that processes millions of customer conversations across voice and chat.

Our technology helps companies turn conversations into actionable insights through speech-to-text, sentiment analysis, summaries and real-time analytics.

We work with international companies including UNIQA Insurance Group, OTP Bank, NovaPay, Fozzy Group, Dobrobut Hospitals and Aventus Group, with customers across Europe, the US and Latin America.

Small team. Global customers. Real production systems.

The role

We’re looking for a hands-on Tech Lead / Senior Tech Lead who wants to stay close to the code while taking ownership of architecture, technical quality and a small engineering team.

You’ll work with 2–3 engineers, help them grow, review their work, solve complex technical problems and shape how we build the product.

This is not a purely managerial role. You’ll continue writing and shipping production code.

What you’ll work on

→ Python / FastAPI backend services processing millions of conversations daily

→ AI-powered features including transcription, sentiment analysis and LLM-based summaries

→ Real-time analytics with Vue 3 / TypeScript / WebSockets

→ Scalable infrastructure with Docker, Kubernetes, Celery, Redis and OpenSearch

→ Integrations with CRM and contact-center platforms such as Zendesk, Genesys and Vicidial

What we’re looking for

Must have:

→ 5+ years of production engineering experience

→ Strong Python + FastAPI background

→ Experience with technical architecture and ownership of engineering decisions

→ Experience leading, mentoring or managing engineers

→ Comfortable staying hands-on with production code

→ Strong problem-solving and ownership mindset

→ Comfortable using AI coding tools such as Claude Code, Cursor or Codex

→ Strong English communication skills

Nice to have:

→ Vue / TypeScript

→ Kubernetes / AWS / GCP

→ Celery / Redis / PostgreSQL / OpenSearch

→ LLM, AI or speech-processing experience

You’ll enjoy this role if

→ You like solving problems rather than waiting for detailed tickets.

→ You enjoy building things from scratch.

→ You care about both technical excellence and team growth.

→ You want real influence over architecture and engineering practices.

→ You want to stay hands-on while growing as a technical leader.

→ You enjoy working in a small team where your decisions actually matter.

What we offer

$5,500–6,500/month

Remote-first — Europe or Ukraine

→ Real technical ownership and direct impact

→ Small, experienced engineering team

→ AI-native development environment

→ Production systems processing millions of conversations

→ Fast decision-making and minimal bureaucracy

→ Opportunity to influence architecture, processes and engineering culture

Interview process

1. 30-minute HR / introductory conversation
2. Short technical task (~1 hour) — you choose a convenient time to complete it
3. Technical deep dive with our CTO
4. Short CEO conversation
5. Offer + reference checks

Interested?

Send us:

→ Your GitHub / portfolio

→ A project you’re particularly proud of

→ A short note about what you’re looking for in your next role

If you’re a strong backend engineer who wants to combine coding, architecture and team leadership — we’d love to meet you.

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

The Senior Python AI Engineer will be engaged with the company as a contractor (Private Entrepreneur).

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

RemotePass is a leading global platform transforming the way businesses access and manage top talent. Recognized as one of G2’s Top 100 Fastest Growing Software Products, we’re on a mission to break down geographical barriers and create a world where exceptional talent can thrive anywhere.

By streamlining global hiring, onboarding, payroll, and compliance, RemotePass empowers organizations to build high-performing remote teams. Our platform is designed to improve the lives of millions of workers worldwide by providing them with unprecedented opportunities to connect with global employers and reach their full potential.

We are backed by world-class investors; Endeavor Catalyst, Khwarizmi Ventures, Oraseya Capital, Flyer One Ventures, Access Bridge Ventures, A15, Swiss Founders Fund and Plug & Play.

AI–Native Product Team

The Role

As a Senior Fullstack Engineer on one of our new AI–native squads, you will own entire features from database to UI. Our stack runs on AWS with PHP/Laravel and Node.js/NestJS powering the backend services, and React with TypeScript on the frontend. You will be expected to leverage AI coding assistants, automated testing tools, and generative AI workflows as core parts of your daily process—not as occasional novelties.

What you will be responsible for:

• Own and deliver features end–to–end across the full stack (backend services, APIs, frontend interfaces, and data layers)
• Design, build, and operate production systems in a payroll domain where correctness and reliability are non–negotiable
• Use AI coding tools (e.g., Claude Code, Cursor, Copilot) as a daily force multiplier for writing, reviewing, and refactoring code
• Write and maintain automated tests with AI–assisted generation, aiming for high coverage with minimal manual effort
• Participate in lean team rituals: async–first communication, lightweight code reviews, and continuous deployment
• Collaborate closely with product and design in a small squad to scope, estimate, and prioritize work
• Contribute to defining and evolving our AI–augmented engineering practices and toolchain
• Take shared ownership of operational concerns: monitoring, alerting, incident response, and on–call rotations

What We Are Looking For

Must–haves:

• 5+ years of professional software engineering experience with meaningful exposure to both backend (PHP or Node.js) and frontend (React/TypeScript) development
• Strong proficiency in our core stack: PHP/Laravel and/or Node.js/NestJS on the backend, React with TypeScript on the frontend
• Hands–on experience with AWS cloud infrastructure, relational databases, and API design (REST or GraphQL)
• Demonstrated comfort with AI–assisted development workflows—you already use AI tools regularly and can articulate how they change your process
• Strong fundamentals in testing: you know when to write a unit test, an integration test, or lean on AI–generated test suites
• Excellent async written communication—you document decisions, write clear PRs, and can drive alignment without meetings
• Ownership mindset: you do not wait for someone else to write the migration, fix the flaky test, or update the runbook

Nice–to–haves:

• Experience in payroll, HR tech, or fintech domains where precision and compliance matter
• Familiarity with prompt engineering, AI agent frameworks, or building LLM–powered features into products
• Experience migrating or integrating between PHP/Laravel and Node.js/NestJS services
• Experience working in small, high–autonomy teams (startups, platform teams, or similar)
• Background in QA or testing automation—understanding quality from first principles
• Contributions to developer tooling, CI/CD pipelines, or internal platform improvements

Why This Role Is Different

We are not adding “AI” to a job title for marketing purposes. We are restructuring our entire
engineering organization around a thesis: small teams of strong fullstack engineers, deeply
integrated with AI tools, can outperform larger traditional teams in speed, quality, and developer
satisfaction.

What this means in practice:

• You will not hand off work to a separate QA team—you own quality, aided by AI–powered testing and code review
• You will not wait on a backend engineer to build your API—you build the whole feature
• You will have real input into the tools and workflows the team adopts—this transformation is being built collaboratively
• You will work in a team of 2–3, not 5+, which means less coordination overhead and more building time

Benefit offerings include:

• 20 paid vacation days annually
• Paid public holidays based on your country of residence
• Unlimited sick leaves
• Comprehensive premium health insurance coverage

About Us

We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. 

We are well-funded, ambitious, and building a team of top professionals.

We're looking for an Account Operations Manager to keep the infrastructure behind our campaigns running day to day. You'll manage voice platform and Telegram accounts, work with telephony and SMS vendors, onboard clients into our internal platform, and run the daily health check across all active campaigns.

Responsibilities

• Manage voice platform accounts: creating new ones, configuration, and topping up balances
• Generate and monitor Telegram accounts used in outreach campaigns
• Communicate with telephony and SMS vendors: onboarding new providers, resolving issues with existing ones
• Perform data operations in the company's internal operations platform
• Onboard clients: create client profiles in the platform and hand requirements over to the internal team
• Run the daily morning campaign check against a fixed checklist: compare metrics with acceptable thresholds, verify client base uploads, confirm campaigns are running and haven't stalled, update campaign statuses in the project management system
• Escalate any deviation to the responsible manager immediately

Requirements (Must-have)

• Accuracy with data — you move values between systems without errors and re-check yourself after entering them; you understand that one typo equals a broken campaign
• Execution discipline — you run the daily checklist yourself, at the same time every day, with no reminders and no skipped items
• Ability to compare actuals against a standard — you look at a set of numbers and thresholds and immediately see what's out of range
• Escalation reflex, not self-treatment — spotted a deviation, passed it on right away: no digging into it alone, no sitting on it until end of day, no fear of delivering bad news
• Written communication as your main working tool — you phrase a request briefly and clearly, run several messenger conversations in parallel, and don't lose threads
• Persistence until resolution — with vendors: getting a new one connected, getting an answer out of an existing one; "they didn't reply" is not where you stop
• Learning speed — you pick up an unfamiliar interface and process from documentation plus one walkthrough, then work independently
• English B1 (written)

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

We're looking for a Senior Azure Platform / AI Engineer for a long-term engagement with an enterprise client. You'll work directly with the client's IT and Security teams in a sprint-based model. 

What you'll do:

• Design and maintain Azure infrastructure: AKS, Entra ID, Private Endpoints, VNets, Network Security Perimeters, multi-region
• Deploy and operate AI/ML workloads: Azure OpenAI, AI Foundry, RAG, multi-agent systems, vLLM, embedding pipelines
• Own IaC & CI/CD: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, secret management
• Data integrations: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API
• Backend/frontend support: Python/FastAPI (async), React + TypeScript (Vite)

Stack:
Azure AKS Entra ID RBAC Key Vault APIM AI Search Azure OpenAI AI Foundry Azure ML Terraform GitHub Actions Helm Microsoft Fabric PostgreSQL FastAPI React TypeScript

Requirements:

• 5+ years of Azure platform engineering
• Strong communication with enterprise clients (English)
• Experience working with IT/Security stakeholders

Nice to have:

• Production AKS & Azure ML model serving
• Azure OpenAI in production
• Locked-down / regulated Azure tenants
• FDE or embedded team experience

Format: Remote, Europe, long-term , sprint model, start ASAP.

We are looking for a hands-on, remote Senior Product Manager to lead the delivery of digital experience projects, including web applications, site improvements, replatforming, and ongoing site maintenance. You’ll work closely with clients, Engineering, Design, and Customer Success teams to translate business goals into product requirements and ensure successful, on-time delivery.

Responsibilities:

• Lead fast-paced Agile delivery with Engineering and Design teams.
• Partner with clients and external stakeholders to deliver digital transformation projects.
• Manage complex projects, scope, timelines, budgets, and priorities.
• Collaborate with Engineering on estimation, scope breakdown, and delivery planning.
• Balance strategic goals with detailed product requirements.
• Take ownership of quality, issues, and client challenges from discovery to resolution.
• Facilitate technical discussions and challenge solutions when needed.
• Continuously improve product and delivery processes.

Requirements:

• 5+ years of experience as a Project, Product, or Program Manager in Agile software development, managing large or complex projects.
• Agile/Scrum certification is required.
• Strong knowledge of Agile, Scrum, Kanban, and Jira.
• Experience across the full software development lifecycle, from discovery to post-launch.
• Proven experience in client-facing digital product delivery, including requirements gathering, backlog management, and user stories.
• Experience working with Engineering on estimation, resource planning, and timelines.
• Strong problem-solving, communication, and stakeholder management skills.
• Experience with web analytics tools such as Google Analytics, Adobe Analytics, or Tag Managers.
• Ability to coach and mentor Product Managers.
• Fluent English.

Nice to Have:

• Experience working with technical teams on modern web technology stacks such as React, Next.JS, JavaScript, and NodeJS.
• Experience with E-commerce businesses, platforms, and technology.
• Understanding of software development and networking fundamentals.
• Experience with AI tools and concepts.
• Additional Agile, Scrum, Product, or Project Management certifications.

What We Offer:

• Opportunity to work on large-scale digital and e-commerce projects.
• A role with high ownership and impact on product and delivery processes.
• Professional growth and opportunities to develop your Product Management expertise.
• A dynamic, collaborative environment with modern tools and Agile practices.