Jobs at Djinni

Sales & Marketing Assistant  (Remote)

Project: UAtech / D2 Digital

Commitment: Full-time
 

About the Company

D2 Digital is a technology company focused on delivering high-quality digital products and AI-driven solutions. We help businesses build and launch ready-to-use products faster through strong execution, practical innovation, and proprietary technology.

As part of our broader ecosystem, we also operate internationally through initiatives such as UAtech, connecting startups, founders, and innovation communities across global markets.

Role Overview

We are looking for a proactive and detail-oriented Sales & Marketing Assistant to support outreach, lead generation, and early-stage client communication.

This role is ideal for someone who is comfortable with structured outreach, interested in sales and business development, and ready to grow in a fast-moving international environment.

You will support the sales process through lead research, outbound communication, follow-ups, CRM updates, and introductory client conversations, while also assisting with proposals and opportunity coordination.

Key Responsibilities
1. Lead Generation & Outreach
• Identify and research potential clients according to the company’s Buyer Personas
• Execute outbound outreach (LinkedIn, email)
• Qualify inbound leads

2. Client Communication
• Conduct intro calls and discovery conversations
• Clearly explain D2 Digital’s unique capabilities and value in delivering ready products leveraging AI and own unique tech
• Maintain professional and confident communication with international clients

3. Opportunity Management
• Support deal progression (follow-ups, coordination, scheduling)
• Deal closing (with the help of the company’s subject matter experts such as Solutions Engineers)
• Maintain CRM tracking
• Prepare proposals, assist in preparing presentations

4. Growth into AI Product Sales
• Learn how to position AI-driven solutions
• Develop understanding of product development and fintech use cases

Support & Resources
You will not be working alone. This role is designed to be supported by a strong internal team:
• Founder: strategy, advise on complex sales conversations
• Marketing / SMM: support with content, positioning, and inbound lead generation
• Operations & Delivery Team: assistance with proposals, estimates, and technical validation

Requirements
Core
• Strong spoken and written English (must-have)
• 1–2 years of experience in sales, BD, or client-facing roles
• Excellent communication and interpersonal skills
• Proactive, organized, and comfortable with outreach

Nice to Have
• Exposure to tech / software / digital products
• Interest in AI, automation, or product development
• Interest in fintech or financial products
• Experience with tools like:
• CRM systems
• LinkedIn 
• email automation tools

Profile We Are Looking For
• Curious and eager to learn
• Comfortable speaking with international clients
• Not afraid of ambiguity (early-stage environment)
• Wants to grow into a strategic sales / product role

B2B with a USA company; Full-time, long-term cooperation, 3 steps to the job offer.

About the Company
 

They are a fast-growing digital health technology organization focused on improving cardiovascular health and addressing hypertension through advanced, science-driven solutions.

Their product enables users to better understand and manage heart health - one of the leading causes of mortality worldwide. Their mission is to empower individuals to take an active role in their health journey through digital therapeutics, supporting longer and healthier lives.
 

Their solution is delivered through employers and healthcare plans in a B2B2C model, partnering with large enterprise clients. They are backed by top-tier investors and have recently experienced significant growth in both revenue and customer base.

 

Role Overview
 

Due to continued expansion, they are looking for a DevOps / Cloud Infrastructure Engineer to take ownership of infrastructure-related initiatives.

In this role, you will play a key part in building, scaling, and securing production systems, while improving reliability and operational efficiency.

 

Key Responsibilities
 

• Design, build, and maintain scalable production infrastructure
• Develop and support a robust ML pipeline and data lake architecture
• Improve and evolve build and deployment processes, moving toward full CI/CD
• Manage, secure, and scale Kafka clusters running on Kubernetes
• Collaborate closely with development and security teams to enhance infrastructure and compliance
• Create monitoring systems, dashboards, alerts, and internal tools to proactively detect and resolve issues
   

Tech Stack

Scala, Python, JS, AWS, Kubernetes, Nginx, ELK stack, Prometheus, Kafka, MongoDB, PostgreSQL, Redis, Jenkins, and more

 

Requirements
 

• 6+ years of experience in DevOps or similar roles
• Hands-on experience with Kubernetes and AWS (or another major cloud provider) in production
• Experience working with Docker containers in production environments
• End-to-end DevOps experience beyond CI pipelines required
• Experience with Linux/Unix-based systems in addition to Windows environments required
• Programming experience in at least one of the following: Scala, Java, or Python
• Experience with Kafka (clusters and streaming) is a plus
• Experience using AI tools for development (e.g., code assistants) is a plus
• Familiarity with logging and monitoring tools such as ELK, Prometheus, or similar
• Experience with CI/CD pipelines and related tools
• Strong understanding of scalable systems and production architecture
• Self-driven, quick learner, and comfortable working with new technologies
  
  
  Aply now and work on a meaningful product that has a real impact on people’s health while building and scaling modern, cloud-native infrastructure. Join a fast-growing environment where you can take ownership, influence technical decisions, and grow alongside a strong engineering team.

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

Your impact:

• Build AI agents for engineers that transform development workflows.
• Automate routine engineering tasks (requirements refinement, coding, testing).
• Improve team velocity and reduce manual effort through AI-driven solutions.
• Create internal best-practices guidelines for building and scaling AI agents.
• Act as an Engineering × AI multiplier across teams.
   

About you:

• 1+ year of hands-on experience building and integrating AI/LLM solutions.
• Strong Software Engineering, AQA, SDET or DevOps background.
• Practical experience with Context Engineering and RAG architectures.
• Experience building multi-agent systems (n8n, Claude Code, Agents SDK, etc.).
• Strong hands-on experience with coding agents (Cursor, Claude Code, Codex).
• Proven ability to operate autonomously and deliver measurable results.
• Systems thinker with strong time management and ownership mindset.
   

Will be a plus:

• Understanding of infrastructure fundamentals, including MLOps principles, cloud platforms (AWS/GCP), and Kubernetes.
   

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.

Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.

Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.

Flexible work format. Choose what works best for you — office, remote, or hybrid.

Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.

Health insurance & corporate doctor.

Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.

Support for sports events. We cover entry fees and encourage the team to compete and participate together.

Modern equipment. We provide new hardware and everything you need for productive work.

Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Remote  |  EU Time Zone (CET ±4 hours)  |  Full-Time

Competitive salary based on experience  |  Equity options available

About Amplifier AI

We’re building the next generation of surgical planning software for interventional radiology and cardiothoracic surgery. Our platform turns CT scans into interactive 3D models that help surgeons plan complex procedures—from endovascular aortic repair (EVAR) to transcatheter aortic valve implantation (TAVI) and beyond.

Our core library powers 17+ clinical analysis pipelines that perform automated anatomical segmentation, vessel centerline extraction, hemodynamic measurements, and risk stratification. Every algorithm we ship has a direct impact on patient outcomes.

We’re a small, focused team where your code goes from PR to operating-room screen in weeks, not quarters. If you want to work on technically challenging problems that genuinely matter, keep reading.

What You’ll Work On

This isn’t a generic backend role. Here’s what a typical month might look like:

• Extending our NNUnet-based segmentation pipelines (we run 15+ trained models across organs, vessels, bones, and tumors) and validating results against clinical ground truth

• Building automated measurement workflows—think aortic neck angulation, iliac tortuosity indices, or landing-zone diameter calculations that feed directly into surgical reports

• Developing new workspace modules: designing the data flow from raw DICOM volumes through preprocessing, AI inference, post-processing, and 3D scene generation

• Optimizing inference performance for GPU and CPU execution, including memory-aware scheduling and adaptive resolution strategies

• Working with SimpleITK, NumPy, and our in-house volume processing library to manipulate medical images at the voxel level—resampling, label morphology, island filtering, ROI extraction

• Collaborating directly with radiologists and surgeons to translate clinical requirements into algorithmic specifications

Our Tech Stack

• Language: Python 3.12+ (modern typing, dataclasses, async patterns)

• Medical Imaging: SimpleITK, NIfTI volumes, DICOM processing

• AI/ML: NNUnet framework, PyTorch, custom inference pipelines

• Infrastructure: Docker, NVIDIA GPU compute, CI/CD with automated testing

• 3D Visualization: Unity integration (you won’t write C#, but your Python outputs drive the 3D viewer)

• Tools: Git, Jira, Confluence, VS Code / PyCharm

What We’re Looking For

Must-haves:

• Strong Python fundamentals: you write clean, typed, well-structured code and understand performance trade-offs

• Experience with NumPy/SciPy for numerical computing—you’re comfortable thinking in arrays and transforms

• Familiarity with medical imaging concepts (DICOM, NIfTI, voxel spaces, coordinate systems) or strong willingness to learn quickly

• Understanding of machine learning inference pipelines, even if you’re not training models from scratch

• Ability to work independently in a remote-first environment with 4+ hours of overlap with CET business hours

Nice-to-haves:

• Experience with SimpleITK or ITK for image registration, segmentation, or morphological operations

• Background in NNUnet or similar medical segmentation frameworks

• Knowledge of 3D geometry: meshes, centerline extraction, spatial transforms

• Contributions to open-source scientific Python projects

• Domain experience in radiology, surgical planning, or health-tech

A Few Things to Know

To set expectations clearly, here’s what this role involves:

• The codebase is scientifically dense—you’ll work with Hounsfield units, anatomical coordinate systems, and clinical measurement standards. Curiosity about the domain is essential.

• We’re a startup. Processes are evolving, requirements shift, and you’ll sometimes need to figure things out from first principles rather than following established playbooks.

• This is primarily a backend/algorithmic role. If you’re looking for frontend or web development work, this isn’t the right fit.

• We care deeply about code quality—type hints, meaningful tests, clear documentation. We review each other’s work carefully.

Why Join Us

• Direct clinical impact: your code helps surgeons plan life-saving procedures more accurately

• Technically deep work at the intersection of AI, medical imaging, and 3D visualization

• Small team, big ownership: you’ll shape architecture decisions and see your ideas go to production

• Flexible remote setup with asynchronous communication and minimal meetings

• Competitive compensation with equity participation

How to Apply

Send us your CV along with a short note covering:

1. A brief description of the most technically challenging Python project you’ve worked on—what made it hard, and how you solved it.

2. Your experience (if any) with medical imaging, numerical computing, or ML inference—even if it’s from a different domain.

3. Your availability and time zone.

No cover letter template needed—just be direct. We review every application personally.

Project Description:

By applying for this position, you may join one of the most respected and rapidly growing institutional investors globally. Our client is a professional investment management organization that manages funds to ensure long-term sustainability. The company invests across all major asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments, with offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg, and Mumbai.

The client attracts and selects high-caliber individuals from top-tier institutions worldwide. Joining the team offers the opportunity to work with diverse and inspiring colleagues and approachable leaders, engage in stimulating work within a fast-paced and intellectually challenging environment, and gain accelerated exposure and responsibility. There are also global career development opportunities and the motivation of contributing to an important social purpose grounded in strong principles. The organization maintains a deeply rooted culture centered on integrity, partnership, and high performance.

If you are passionate about performance, value a collegial and collaborative culture, and uphold the highest standards of integrity, this opportunity may be right for you.

Responsibilities:

The Technical Lead will oversee the technical strategy and execution of fintech projects, managing a distributed team of Python developers and ensuring seamless delivery on AWS infrastructure. This role merges technical leadership, people management, and client communication, requiring a proactive and empathetic approach to both technology and team development.
Key Responsibilities
• Lead and coordinate a remote development team across multiple time zones to deliver high-quality fintech software solutions.
• Oversee project architecture, development, deployment, and performance optimization using Python and AWS.
• Ensure robust, scalable, and secure system design aligned with fintech industry standards and compliance requirements.
• Build and maintain strong client relationships, providing regular progress updates and strategic technical insights.
• Conduct regular performance reviews, one-on-one check-ins, and mood monitoring to foster engagement and well-being within the team.
• Mentor engineers, support professional growth, and encourage knowledge sharing across teams.
• Manage project timelines, risks, and dependencies in accordance with agile principles.
• Identify and drive improvements in development processes, collaboration practices, and product quality.
• Collaborate with product managers and business stakeholders to align technical solutions with strategic goals.

Mandatory Skills Description:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software engineering with at least 2 years in a technical leadership role.
• Proven expertise in Python development (Django, FastAPI, Flask, or equivalent).
• Solid experience with AWS (ECS, Lambda, S3, CloudFormation, RDS or similar services).
• Previous experience leading distributed or cross-cultural engineering teams.
• Strong communication skills and ability to manage relationships with both internal and external stakeholders.
• Demonstrated success delivering fintech systems (e.g., payment gateways, banking APIs, compliance tools).
• Deep understanding of Agile/Scrum methodologies.
• Fluent in English (written and spoken).

Nice-to-Have Skills Description:

• Knowledge of financial regulations (PSD2, AML/KYC, PCI DSS).
• Experience with CI/CD pipelines, automated testing, and DevOps practices.
• Experience with data security, encryption, and financial-grade API design.
• Passion for innovation, continuous improvement, and building high-performing teams

Project Description:

Our client is a leading global Financial markets data provider that runs many change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high-frequency, and low-latency data management chain.
We are seeking a Senior DevOps Engineer for Real Time Data Distribution System in the Real Time Core team. The successful candidate will combine strong technical and collaboration skills in a demanding and dynamic environment. You will work directly with your team and with groups across the organisation to ensure the best service for our client base.
You will be a member of a multi-skilled team building and maintaining components for our market leading our system. We strive for our engineers to work within agile teams that emphasize standard process and believe quality is everyone's responsibility. They bring an enthusiastic attitude whilst making sure they share their knowledge while removing constraints.

Responsibilities:

Key Responsibilities:
• Engaging with the product owner, team lead, architects and other members of the global team you'll help build world-class solutions to address our customer needs.
• Demonstrating a consistent focus on quality and security, you'll deliver reliable, and robust solutions.
• Manages own workload and promotes an inclusive and open culture.
• Takes initiative to develop knowledge in technology products and tools through on the job learning, certifications and projects.
• Actively participating in Scrum meetings, you'll give timely status updates to the Team Lead and/or Scrum Master on areas for which you are responsible.
• Through agile retrospectives and reviews, you'll analyse and adapt, finding innovative ways to enable your team work more effectively delivering on time to defined standards of quality.
• You'll need to able to work well under pressure and be adept at taking problems and seeing them through to resolution with minimal supervision.
• You'll be an excellent communicator and very client focused with strong interpersonal skills.
• You'll ensure that the Knowledge Base is kept up to date with the team's knowledge and technical issues resolution.
• Second line point of escalation in event of a major incident.
• Occasional weekend or evening deployment work.

Mandatory Skills Description:

• 8+ years of proven experience as a DevOps Engineer or similar role.
• Recent 5+ years of hands-on experience in large-scale Azure projects.
• Experience with AWS.
• Good working knowledge of Terraform.
• Experience with CI/CD tools and practices (Gitlab, Jenkins).
• Knowledge of containerization tools such as Docker and Kubernetes.
• Experience with Monitoring platforms (Datadog, Prometheus/Grafana, Cloudwatch, Azure Monitor)
• Experience with Monitoring Integration (statsd, OpenTelemetry, APM) is a plus.
• Working experience with scripting languages like Python.
• Working experience with Memory safe languages (Java, Go, Rust) is a plus.
• Strong knowledge of networking concepts and protocols (TCP/IP, UDP, multicast).
• Strong written & verbal communication skills.

Nice-to-Have Skills Description:

• Financial domain experience.
• Degree in Computer Science or Engineering or equivalent.

Languages:

English: B2 Upper Intermediate

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Project Description:

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities:

• Develop high-quality software, design, and functional documentation
• Provide estimates for specific software feature implementation
• Identify, prioritize, and execute tasks in the software development life cycle
• Build unit tests for your code
• Automate tasks through appropriate tools and scripting
• Perform validation and verification testing
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software is up-to-date with the latest technologies and standards

Mandatory Skills Description:

• 3+ years of full life-cycle software development experience
• 3+ years of object-oriented development, in particular, C++
• Experience developing under Linux
• Ability to collaborate in a team-focused environment
• Excellent analytical skills and a real passion for solving problems
• English at the level of Upper-Intermediate (spoken)
• Experience with Docker, AWS

Nice-to-Have Skills Description:

• Ability to suggest/research new technologies and quickly adapt to change
• Experience working with Market Data and Trading

Languages:

English: B2 Upper Intermediate

Position: Mid-level Frontend Engineer

Salary: Competitive, based on experience
Work: Remote

About Qoves

Qoves is on track to become the next consumer tech unicorn. With over 2.5 million followers across our platforms, we’ve built one of the largest global communities around beauty, aesthetics, and AI. In a short time, we’ve become one of the fastest-growing consumer tech companies, pioneering AI-driven facial analysis that is transforming how people understand and improve their appearance.

As we continue to scale, content remains at the core of our growth. This is your opportunity to play a key role in shaping the voice and reach of a globally recognized brand.

The Role

We’re looking for a highly skilled Frontend Engineer to build and scale modern, high-performance web applications. You’ll work closely with product, design, and backend teams to deliver seamless user experiences, with a strong focus on clean architecture, performance, and maintainability.

This role is ideal for someone who takes pride in writing clean, reusable code (DRY principles) and has deep experience with modern React ecosystems.

Key Responsibilities

• Build and maintain scalable frontend applications using TypeScript, React, and Next.js
• Develop reusable components and maintain clean, modular code architecture
• Implement and manage REST API integrations across core product features
• Work with React Hooks (built-in and custom) to create efficient and maintainable logic
• Integrate Stripe Elements and payment flows for seamless transactions
• Collaborate with Product, Design, and Backend teams to deliver high-quality features
• Ensure responsiveness, performance, and cross-browser compatibility
• Follow best practices for code quality, testing, and maintainability

What We’re Looking For

• Strong proficiency in TypeScript, including advanced types
• Solid experience with React (v19+) and React Hooks
• Hands-on experience with Next.js
• Strong understanding of JavaScript, HTML5, and CSS3
• Proven experience integrating REST APIs
• Experience implementing Stripe payment flows (Stripe Elements)
• Strong commitment to clean, maintainable, DRY code
• Good problem-solving skills and attention to detail
• Ability to work collaboratively in a fast-paced environment

Nice to Have

• Experience with image processing or media handling
• Familiarity with CI/CD pipelines
• Experience with SCSS or advanced CSS frameworks
• Experience with React Hook Form and Zod validation
• Experience working with WebSockets
• Experience with data visualization tools or libraries

Why Join Us

• Work on modern technologies and impactful products
• Collaborative and fast-paced team environment
• Opportunity to take ownership of key frontend features
• Room for growth and continuous learning
• Flexible working arrangements

Project Description:

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.

Responsibilities:

We are looking for a Software Engineer to contribute to the development of a global optimization capability for petroleum surface networks within the NEXUS reservoir simulator.
This role is product-focused and centers on building, integrating, and hardening a Bayesian Optimization (BO)–based engine that complements the existing gradient-based GRG optimizer. The feature enables reservoir and production engineers to identify more robust and globally optimal well control strategies—such as gas-lift allocation and choke settings—when dealing with highly non-linear and multimodal network behavior.
You will work as part of a product engineering team, collaborating closely with domain experts, QA, and platform engineers to deliver maintainable, performant, and user-ready functionality into a production-grade simulator.
What You’ll Work On:
Implement and integrate Bayesian Optimization workflows within the existing NEXUS surface network optimization framework
Develop and maintain Gaussian Process–based surrogate models used during optimization runs
Integrate acquisition functions that support reliable decision-making across challenging objective landscapes
Implement initial sampling strategies to ensure stable and repeatable optimization outcomes
Contribute to performance tuning, memory efficiency, and parallel execution in large simulation workloads
Improve code robustness, testability, and maintainability in a long-lived product codebase

Mandatory Skills Description:

Programming & Implementation:
Fortran 90/95:
Experience working with modules, allocatable arrays, and structured Fortran code
Ability to modify and extend existing numerical code responsibly

Numerical Computing:
Numerical linear algebra fundamentals
Practical use of Cholesky decomposition and triangular solves
Experience using LAPACK routines
Awareness of numerical stability and basic conditioning issues

Optimization & Modeling:
Gaussian Process regression (practical level):
Understanding of GP concepts (mean, covariance, kernels)
Ability to implement or adapt GP prediction code with guidance
Bayesian Optimization concepts:
Familiarity with acquisition functions such as Expected Improvement (EI) and Upper Confidence Bound (UCB)
Understanding of exploration vs. exploitation from a user-outcome perspective

Sampling & Experiment Design:
Latin Hypercube Sampling (LHS)
Experience implementing or using space-filling designs for initial parameter exploration

Product & Engineering Expectations:
Focus on reliability, usability, and repeatability rather than experimental novelty
Write clear, maintainable code aligned with existing platform standards
Ensure features behave predictably across a wide range of customer models
Collaborate with QA and support teams to diagnose and resolve field issues
Be mindful of performance, memory usage, and MPI execution constraints

Nice-to-Have Skills Description:

Exposure to reservoir simulation or production optimization domains
Experience working on large, long-lived scientific software products
Familiarity with user-facing configuration workflows or optimizer settings

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

We are looking for HR Generalist to join our team. 

Key Responsibilities

• Manage end-to-end recruitment for selected roles (sourcing, screening, interview coordination).
• Oversee onboarding & offboarding processes to ensure a smooth and positive experience.
• Maintain HR documentation, employee records, and internal HRIS data.
• Support performance review cycles, feedback processes, and employee surveys.
• Handle day-to-day HR operations: contracts, extensions, probation periods, compliance.
• Monitor employee satisfaction, engagement, and retention signals.
• Collaborate with leadership on workforce planning and internal policies.
• Assist with organizing internal events, team activities, and communication initiatives.
• Prepare HR reports, analytics, and dashboards (headcount, attrition, hiring pipeline, etc).
• Act as a point of contact for employees on HR-related questions.

Requirements

• 4 years of experience in HR, recruitment, or people operations.
• Understanding of HR processes and employment lifecycle.
• Ability to maintain confidentiality, structure, and high attention to detail..
• Experience with HR tools (HRIS, ATS, spreadsheets, analytics).
• Problem-solving mindset, ability to work independently and prioritize effectively.
• English — upper-intermediate or higher.

What We Offer

• Flexible remote work.
• Supportive and transparent culture.
• Opportunities to grow into HRBP / People Partner role.
• Participation in internal people-ops projects and process improvements.
• Competitive salary and benefits package.

About the Role

We’re looking for a Project Manager to lead delivery of AI voice assistant solutions for legal clients (law firms, legal services, intake automation).

This is not a coordination-only role. You’ll own:

• client communication
• scope definition
• delivery timelines
• and making sure the product actually works in production

You’ll work closely with engineers building:

• AI voice agents (LLMs + speech-to-text + TTS)
• automation workflows
• integrations (CRM, telephony, APIs)
  
  Responsibilities
• Lead end-to-end delivery of AI voice assistant projects
• Run discovery calls with legal clients (understand workflows, intake processes, compliance needs)
• Translate business needs into clear technical tasks
• Manage backlog, priorities, and sprint planning
• Coordinate developers (AI, backend, frontend)
• Ensure quality of conversations (voice flows, prompts, edge cases)

Job Description

• Knowledge of JavaScript or Python
• Understanding of software development lifecycle (SDLC)
• Basic understanding of testing concepts (types of testing, bug lifecycle)
• Familiarity with Git or any version control system
• Analytical thinking and attention to detail
• Good communication skills
• English level: Intermediate (B1) or higher
   

Job Responsibilities

• Assist in writing and maintaining test cases and test documentation
• Execute manual tests and report defects
• Support development of automated test scripts
• Work with existing test automation frameworks
• Collaborate with developers and QA engineers to understand requirements
• Participate in code reviews and QA meetings
• Learn and apply CI/CD and testing best practices
   

Department/Project Description

Our client is a leading world international company which provides a dynamic, automated printing solution allowing users to create and monitor label printing on large manufactures. Our team is working together with the client as a single unit extending the capabilities of a Common Platform, a microservice-based system which provides a set of services to control printers, including the HMI layer. The main product features include a customizable web browser interface for operators to design labels, manage and monitor printers individually or in groups, access printer dashboards, configure and manage automated printing applications dynamically.
 

Skill Category

JavaScript 
Python
 

Keyskills - Must Have

• JavaScript
• Python
• Regression testing
• Smoke testing

Project Description:

Our team is working for one of the world's largest providers of products and services for the ever-evolving needs of the energy industry. Oil and gas domain, well logging.
We are working with Azure cloud, GIT, Kubernetes, using C#, C++ last standards (C++ 17, potentially 20). Using SCRUM framework.

Responsibilities:

• Review and analyze tasks in Product Backlog Items provided by Product owner
• Participation in grooming sessions and proactive task requirements and acceptance criteria clarification
• Work as part of a team using Azure environment
• Work with the team on development and resolving issues
• Implement software changes from Product Backlog Items and technical requirements
• Work with the QA team to determine if the application fit Product Backlog Items and technical requirements
• Identify and fix bugs, find solutions to the problems
• Maintain code quality, organization, and automatization
• Maintain the developed software efficiently through a solid knowledge of software lifecycle

Mandatory Skills Description:

• 4+years of experience and strong knowledge in C/C++
• 3+ years’ experience and strong .NET/C# knowledge
• Environment and tools: Docker, GIT, CMake, WCF
• SOA, Microservices, Solid principles, DDD
• Experience with databases (SQL)
• Problem-solving, proactive in task clarification, analytical thinking
• SCRUM framework knowledge and understanding of SDLC
• English level: Intermediate+
• Ability to work effectively in a team and with international clients

Nice-to-Have Skills Description:

• gRPC
• Kubernetes
• Multithreading knowledge
• PowerShell scripting
• Azure cloud
• Oil and Gas domain knowledge