HR SHIFT

🌍 About the Company

We help businesses grow through long-term tech partnerships and contribute to the engineering community by sharing knowledge and creating opportunities.
Our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, Result Driven.

We offer a safe, inclusive, and productive environment where every team member can thrive. Work remotely or from modern offices in Kyiv and Lviv (equipped with stable Wi-Fi and electricity).

✅ Requirements

• 7+ years in IT with strong knowledge of JavaScript/TypeScript
• Expertise in Node.js (Nest.js) and scalable application design
• Solid experience with React
• Proven record of leading complex projects and mentoring teams
• Experience with AWS or other cloud providers
• Strong architectural design skills, experience in pre-sales & discovery phases
• Business mindset; background in FinTech/EdTech is a plus
• English level: Upper-Intermediate+

🚀 Responsibilities

• Conduct pre-sales activities: NFR elicitation, architecture definition, estimations, risk analysis
• Lead discovery phases
• Recommend external libraries and tools to improve development efficiency
• Conduct and support code review processes
• Participate in R&D activities and POC execution
• Conduct interviews with external candidates
• Troubleshoot and improve code when necessary

🎯 Nice to Have

• Experience with Python, PHP, or .NET
• Experience working in competence/SDO office
• Background in solution audit services

💎 What’s in It for You

• Competitive salary (fixed + performance bonus)
• Challenging and stable projects with a modern stack
• Corporate English courses and daily practice with global clients
• Paid professional development (courses, certifications)
• Career growth & salary reviews (semi-annual + annual)
• Equipment provided for work
• VIP medical insurance or sports package
• Friendly and non-bureaucratic environment
• Flexible working hours (start between 8:00–11:30)
• 18 paid vacation days + sick leaves
• Unlimited remote work worldwide
• Cozy offices in Kyiv & Lviv (with generator & Starlink)
• Coworking compensation (outside Kyiv & Lviv)
• Corporate lunches, team buildings, soft skills clubs
• Involvement in a corporate charity fund

⚡️ If you’re passionate about designing scalable solutions, leading teams, and driving technical excellence — let’s talk!

Our client,  is opening a Lead ML/AI Engineer position.
The company is actively expanding its AI direction and is looking for a specialist who combines deep technical expertise with strong client-facing skills: joining calls, leading discovery phases, and participating in pre-sales processes.

Formal experience specifically in a “lead” role is not strictly required — what matters most is that you feel confident as a technical expert who understands client needs and can propose solutions. Approximately 50% of tasks will be presales/discovery, while the rest will be project work.
 

Responsibilities

• Design, build and scale a production-grade inference stack for RAG-based applications,
• Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance,
• Optimize performance and latency for both real-time and batch queries,
• Identify and address bottlenecks in the inference stack to improve response times and system efficiency,
• Ensure high reliability, observability, and monitoring of deployed systems,
• Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications,
• Evaluate and integrate modern RAG frameworks and tools to accelerate development,
• Guide architectural decisions, mentor team members, and uphold engineering excellence.

Requirements

• 8+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems,
• Hands-on experience building and deploying retrieval-augmented generation (RAG) systems,
• Deep knowledge of OpenSearch, Elasticsearch, or similar search engines,
• Strong coding skills in Python,
• Experience with frameworks like LlamaIndex or LangChain,
• Familiarity with vector databases such as Pinecone, Qdrant, or FAISS,
• Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering,
• Previous work on systems handling millions of users or queries per day,
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes),
• Experience with vector search, embedding pipelines, and dense retrieval techniques,
• Proven ability to optimize inference stacks for latency, reliability, and scalability,
• Excellent problem-solving, analytical, and debugging skills,
• Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments,
• Passion for building impactful technology aligned with our mission,
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

What Offers

• Competitive salary and transparent bonus system.
• Exciting and stable AI projects with a modern tech stack.
• Daily English practice with international clients + courses.
• Coverage for training and certifications.
• VIP medical insurance or sports compensation.
• Flexible schedule with minimal bureaucracy.
• 18 vacation days + sick leave.
• Paid coworking (for those outside Kyiv/Lviv).
• Team events, corporate gatherings, soft skills clubs.
• Opportunity to work remotely or from offices in Kyiv and Lviv.

📌 Project: AI platform leveraging RAG, LLM, and search technologies, designed to scale to millions of users.

We are helping an international product company find a Senior AI/ML Engineer to join their team. The company is developing an intelligent chatbot and search platform with modern AI/ML, NLP, and LLM technologies.

They are looking for a strong senior engineer with leadership mindset — someone who not only writes clean code, but also guides the team, makes architectural decisions, and can present solutions to clients.

🔧 Must-have skills:

• 5+ years of AI/ML engineering in production systems.
• Python (Pandas, NumPy, FastAPI, LangChain, etc.).
• LLMs (OpenAI, AWS Bedrock), prompt engineering.
• Vector DBs: PGVector/Postgres.
• NLP, embeddings, semantic search.
• ETL pipelines for APIs, SQL, docs, images.
• Work with unstructured data & metadata.
• Docker-based deployments.
• Understanding of role-based access & recommendations.
• Strong communication & presentation skills.

📌 Responsibilities:

• Lead technical direction, support and guide the team.
• Build ETL pipelines for structured & unstructured data.
• Work with embeddings, similarity search, vector DBs.
• Fine-tune LLMs & manage prompts for chatbot.
• Design intent detection & contextual responses.
• Collaborate on API integration, deployment, testing.
• Present solutions to clients clearly and confidently.
• Ensure scalable, maintainable, production-ready AI/ML solutions.

About the Project

Join a Bitcoin payroll and compensation company that enables businesses to reward their employees in Bitcoin. You’ll work on a secure and scalable platform at the intersection of blockchain, fintech, and backend engineering.

Team: 2 Developers, Lead Developer, CTO, and CPO.
 

Your Responsibilities

• Design and build reliable, secure, and scalable backend solutions;
• Develop hypermedia-driven web applications (HATEOAS) using HTMX;
• Work with relational databases (Postgres, MySQL, SQLite);
• Integrate with Bitcoin wallets, nodes, and the Lightning Network;
• Deploy and maintain applications on Linux servers;
• Use AI coding tools to accelerate and enhance the development workflow;
• Collaborate closely with product and design teams to ensure great UX.

What We Expect From You

• Excellent English communication skills;
• 4+ years of experience with Rust web servers (Actix, Axum, or similar);
• Proven experience with relational databases (Postgres, MySQL, SQLite);
• Hands-on experience with the Bitcoin ecosystem (wallets, nodes, Lightning);
• Strong understanding of Linux server administration;
• Passion for secure, reliable, and user-friendly software;
• Proactive mindset and ability to take ownership.

Interview Process

1. Intro call with recruiter
2. Online test task (HackerRank)
3. Technical interview with the client (live coding)

Compensation & Benefits

• Paid sick leaves (covered by the company)
• Paid vacation (covered by the employee)
• Flexible schedule and fully remote work
• Freedom to experiment with modern tools and technologies
• Transparent processes, no bureaucracy, and a supportive team

We Offer

• Challenging and innovative projects in blockchain & fintech;
• A team that values security, performance, and excellent UX;
• Modern development culture with AI-assisted workflows;
• A role where your impact truly matters.

About the Role
We are looking for an experienced Site Reliability Engineer to lead our product security efforts and ensure the resilience of our next-generation crypto platform. This is a key role in a fast-growing company at the intersection of finance and technology, with full remote flexibility.
 

Responsibilities

• Define, implement, and maintain a PSIRT process (Product Security Incident Response Team) for infrastructure and blockchain/on-chain incidents.
• Design and execute incident response processes, including tooling, documentation, and post-incident reviews.
• Lead digital forensics efforts, defining tools, processes, and playbooks.
• Roll out and manage EDR (Endpoint Detection and Response) for infrastructure and employee endpoints.
• Implement and manage MDM (Mobile Device Management) for laptops and phones.
• Define and enforce security guardrails aligned with business risks.
• Harden Kubernetes clusters (EKS) and containers, implement admission control policies.
• Maintain and test Disaster Recovery (DR) and backup plans.
• Manage Cloudflare WAF rules, vulnerability management (SAST/SCA/DAST), and AWS/Kubernetes event-based security tooling.
   

Requirements

Must-have:

• 10+ years of experience in security, SRE, or DevOps roles.
• Strong expertise with AWS (EKS, RDS, VPC, IAM, GuardDuty, Security Hub).
• Hands-on experience with Kubernetes & Docker in production.
• Advanced knowledge of Infrastructure as Code (Terraform).
• Proven experience in building and managing CI/CD pipelines (GitHub Actions preferred).
• Solid track record leading incident response processes.
• Strong understanding of networking (VPCs, load balancing, WAF, DDoS).
• Familiarity with modern monitoring, logging, and observability tools.

Nice-to-have:

• Experience in FinTech, banking, or crypto services.
• Familiarity with Vercel, Fireblocks, NGINX.
• Knowledge of container scanning tools (Trivy).
• Understanding of JWE, secrets management, AWS KMS.
• Scripting skills (Python, Bash).

We Offer

• Competitive salary & benefits.
• Modern, cutting-edge tech stack.
• High-impact role in a fast-growing company.
• Supportive, collaborative team culture with a strong focus on security.
• Fully remote and flexible working schedule.
   

👉 If you are passionate about building resilient systems and securing crypto platforms, we’d love to hear from you!

About the Role

We’re looking for a Senior Machine Learning Engineer to join the team that designs, builds, and scales ML systems powering personalization and customer engagement at a massive scale.
You’ll work on production-ready ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users worldwide.
 

What You’ll Do

• Develop pipelines that transform behavioral, demographic, and contextual data into real-time features.
• Design APIs and services for low-latency prediction and decision-making.
• Implement frameworks for A/B testing, bandit algorithms, and model evaluation.
• Collaborate with product and engineering teams to balance engagement, business value, and compliance.
• Build monitoring, logging, and retraining workflows to continuously validate and improve models.

What We Expect

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or ads).
• Strong knowledge of Python and/or Go, SQL, and ML frameworks such as TensorFlow or PyTorch.
• Hands-on experience deploying real-time ML systems (low-latency serving, feature stores, event-driven architectures).
• Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar).
• Experience with data warehouses (BigQuery, Snowflake, Redshift).
• Solid understanding of multi-objective optimization and personalization trade-offs.
• Ability to thrive in a fast-paced, startup-style environment.

➕ Nice to Have

• Experience in martech, adtech, CRM, or large-scale consumer personalization.
• Exposure to bandit algorithms or reinforcement learning.
• Previous work on systems serving millions of users.
• Experience with Google Cloud Platform (GCP).

We Offer

• Opportunity to shape large-scale personalization technology.
• Competitive compensation matching your skills and experience.
• Professional growth budget for conferences and training.
• Fully remote and flexible work setup.
• Collaborative and innovative team culture focused on impact.
• Online & offline team activities.

Schedule: 9am–4pm EST
Format: Full-time / Remote / Worldwide
 

🚀 Join us to build personalization systems that reach millions!
Send your resume or Djinni profile — we’d love to meet you.