Jobs AI Engineer

Anadea | Tensorway is an international distributed team with more than 20 years of experience creating corporate and startup solutions (web, mobile, AI). We predominantly work remotely from Ukraine and Europe, with our office located in Dnipro.

You understand the risks of overreliance on coding agents and recognize the importance of taking full ownership and responsibility for the outcomes of your work, whether the code is LLM-generated or written by you. We’re looking for a proactive, self-driven individual who takes initiative, and proven leadership experience would be a strong plus.
 

Required Skills

Hard skills:

• Python: proficient knowledge of the language for development, debugging, and code maintenance.
• LLM Frameworks: practical experience with LLM-applications and agent frameworks, building agent loops, multi-agent systems, RAG, context management, MCP.
• Production Safety: guardrails and safety controls, human-in-the-loop (confidence calibration for optimal delegation).
• Assisted SDLC: creating sharable coding agents configurations, building reusable modular context, employing agents at all stages of the SDLC.
• API & Testing: ability to design REST/GraphQL interfaces and write unit/integration tests with Git as the foundation of the workflow.
• Software Development: concurrent programming and database systems, software design principles and patterns.
• Monitoring Tools: experience with LangSmith, OpenTelemetry, MLflow for tracking and analyzing agent systems.
• Eval Pipelines: evaluating LLM-based workflows and non-deterministic agent trajectories, using dedicated frameworks and approaches, defining metrics.
• DS and ML foundations: training, evaluation, bias, and visualization.
• DevOps Basics: Docker containerization and CI setup (GitHub Actions/GitLab CI) for “green” builds and agent testing.
• Cloud Platforms: familiarity with AWS, GCP, or Azure for deployment, scaling, and load balancing.
   

Bonus Knowledge and Preferred Qualifications:

• Rust or another systems language for high-performance services.
• Fine-tuning and Local Models: production experience with quantization, fine-tuning, and working with RLHF approaches.
• Experience with TTS, STT, or real-time models, or with computer vision, OCR.
• Certifications such as Claude Certified Architect (Professional or Foundation).
• Experience with compliance requirements (GDPR, HIPAA, or SOC 2).
   

Why Join Us? 

Conditions and Benefits

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program
   

If you meet the key requirements and want to work on scalable autonomous agent systems, please send your resume and project links!

United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide

About your role: We’re looking for a Head of AI who can turn AI adoption into a systematic business advantage — not just introduce new tools, but build solutions that deliver measurable financial impact. At United Tech, you’ll work with complex B2C products reaching millions of users across international markets, identifying where AI can improve product performance, accelerate development, and make our teams more effective. This role combines strong engineering expertise, hands-on experience with production LLM systems, and a business mindset to turn AI opportunities into scalable solutions with proven results.

In this role, you will

• Define and drive the company's AI strategy, turning business opportunities into a structured roadmap of AI initiatives
• Identify, evaluate, and prioritize AI use cases across product development and internal business processes
• Lead the design and implementation of production-ready LLM solutions, including AI agents, multi-agent systems, and generative features
• Build and scale internal AI tools that improve engineering productivity and are actively adopted by other teams
• Evaluate the business case for AI initiatives before development, estimating expected impact, development costs, and inference expenses
• Establish measurement frameworks to assess the actual impact of AI solutions, define baselines, and distinguish real improvements from external factors
• Introduce engineering standards and best practices for AI development, including architecture, evaluation, security, and reliability
• Work closely with engineering and product teams to integrate AI into existing workflows, development processes, and products

It’s all about you

• 5+ years of software development experience (we’re open to considering candidates with less experience if they have strong relevant expertise)
• 2+ years of hands-on experience building and deploying LLM-based solutions in production, including AI agents, integrations, and generative features
• Experience developing internal tools and AI solutions actively used by other teams
• Ability to evaluate the economics of AI initiatives before development, including expected business impact, development costs, and inference costs
• Experience measuring the actual impact of implemented solutions, defining baselines, choosing measurement methods, and separating results from external factors
• Solid understanding of the software development lifecycle, including estimation, code reviews, and release management
• Understanding of product metrics such as conversion, retention, ARPU, and unit economics
• Upper-Intermediate (B2) English or higher
  
  It would be a plus
• 2+ years of experience in a Tech Lead or Staff Engineer role
• Experience implementing RAG solutions for codebases or technical documentation

AI skills & tools

• Experience designing and operating multi-agent systems in production, including orchestration, autonomy boundaries, failure handling, and human-in-the-loop workflows
• Hands-on experience building custom MCP servers, not just integrating existing ones
• Advanced Claude Code expertise, including custom skills, commands, subagents, and hooks
• Strong context engineering skills: understanding what belongs in the context window, what should be handled through RAG, and what should be exposed as a tool
• Experience with evaluation frameworks, including offline evaluation datasets, LLM-as-a-judge, and detecting model performance degradation after updates
• Understanding of inference economics and optimization techniques, including caching, batching, model selection, and cost per unit
• Knowledge of AI security policies and practices, including prompt injection protection, data and secret leakage prevention, and agent permission management
• Familiarity with DORA and SPACE engineering metrics
• Claude Certified Architect – Professional (CCAR-P) or Claude Certified Developer – Foundations (CCDV-F) certification

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer

Job Title:

AI Product Engineer

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client develops software for business users. This opportunity focuses on exploring product improvements and testing how they could work before committing to further development.

About the Role:

We are looking for a Senior AI Product Engineer who can investigate a customer need, define a practical solution and build a functional prototype.

You will combine customer conversations, product judgment and hands-on experimentation. Your prototypes should demonstrate both the user experience and the functionality needed to evaluate an idea. You will use AI-assisted development tools to move from initial requirements to something stakeholders can try and discuss.

Your responsibility covers discovery, prototyping and agreement on the proposed solution. Engineering colleagues take responsibility for production implementation.

The position includes periodic office attendance; location and arrangements will be discussed during screening.

Key Responsibilities:

• Clarify the decisions a prototype needs to support and define a manageable scope for testing.
• Gather input from customers and colleagues to understand existing workflows, unmet needs and practical constraints.
• Create functional prototypes, connecting interface behaviour with the logic and data needed to demonstrate a solution.
• Evaluate whether the proposed experience addresses the original problem, including the accuracy and usefulness of its outputs.
• Present your work, incorporate feedback and resolve open questions with stakeholders.
• Prepare an agreed solution for engineering handoff, explaining intended behaviour, assumptions and outstanding limitations.

Required Competence and Skills:

• Substantial experience in product management or a customer-facing technical role involving product decisions and hands-on solution development.
• A record of helping bring new software products to real users, with clear ownership of your contribution.
• Ability to independently build working prototypes using AI-assisted development tools.
• Experience translating customer conversations into clear requirements, priorities and user workflows.
• Practical understanding of vulnerability assessment and remediation, including how technical findings inform corrective action.
• Experience delivering AI-enabled functionality to production and evaluating whether it works reliably.
• Practical experience with cloud deployment, automated delivery processes and application monitoring.
• Sound judgment when working with incomplete information, learning unfamiliar technologies and deciding what to build first.
• English sufficient to discuss requirements, demonstrate solutions and collaborate directly with customers.

Nice to Have (if applicable):

• Experience with software used by IT or security teams.
• Familiarity with organizational controls and the information needed to demonstrate that they are being followed.
• Examples of independently developed products, tools or other software projects used by others.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We are looking for a strong Middle Backend Engineer to help us build AI-powered products and workflows. This role is ideal for someone with solid Node.js / TypeScript experience who is already exploring AI in practice and wants to go deeper into RAG, voice agents, and multi-agent systems.

What matters most is a strong backend foundation, the ability to build reliable production systems, and a genuine interest in how LLM-based applications work and in using AI to speed up delivery.

What you’ll do

• Design and build backend services for AI-powered product features
• Work with LLM APIs, prompts, AI SDKs, and agent workflows
• Help shape systems involving retrieval, grounding, tool use, and orchestration
• Collaborate on products that include Node.js backend 
• Improve reliability, latency, observability, and overall production readiness of AI features

• Explore and implement capabilities around RAG, voice experiences, and multi-agent systems

   

What we’re looking for

• Strong commercial experience with Node.js / TypeScript, 2+ years of experience
• Experience building and maintaining complex backend systems in production
• Solid understanding of architecture, APIs, async flows, integrations, and system reliability
• Some hands-on exposure to LLM applications: prompt design, AI APIs, agent flows, or internal AI tooling
• Ability to learn quickly in a fast-moving technical area
• Strong engineering judgment and product mindset

• A degree in Computer Science, Mathematics, or a related field is a plus, but not required

   

Nice to have

• Experience with LangChain, LangGraph, Vercel AI SDK, or similar frameworks
• Familiarity with RAG concepts such as chunking, embeddings, retrieval, reranking, and hallucination reduction
• Experience with voice agents or real-time AI experiences
• Experience with React

• Familiarity with Python

   

Why this role

• You’ll work on real AI product problems, not toy demos
• You’ll have room to grow into RAG and agentic systems
• We’re open to hiring a strong engineer with the right mindset, even if some of the AI-specific depth is still developing

Remote | Full-time
 

About the Company :
 

We are a product-driven company focused on developing and scaling mobile applications with subscription-based monetization. We are looking for an iOS Developer who can build applications from scratch and actively leverage AI to accelerate the development process.
 

Key Responsibilities :

• Develop new iOS applications from concept to App Store release.
• Maintain and improve existing applications by adding new features, updates, and UI enhancements.
• Implement subscriptions and payment logic using Apphud, Adapty, RevenueCat, and other services.
• Design application architecture and user flows.
• Test applications, identify issues, and fix bugs.
• Ensure stable application performance without lags or crashes.
   

What We Are Looking For :

• Experience working in a product company or independently developed and published applications on the App Store that you can showcase.
• Understanding of the full product development lifecycle: from concept and architecture to release, analytics, and further development.
• Hands-on experience with subscriptions and payment services (Apphud, Adapty, RevenueCat).
• Strong understanding of application architecture, APIs, testing, and application logic.
• Good UI/UX sense and attention to product quality.
   

AI & Vibe Coding :

AI is at the core of our development approach. We are looking for someone who:

• Is confident using AI tools for code generation.
• Can configure AI agents and build automated workflows.
• Can delegate development, testing, and bug fixing to AI agents.
• Can set up agents to independently review and validate their work.
• Knows how to maintain control over code quality and the final product.
   

Our goal is to maximize development speed without compromising quality. The developer should act not only as an executor but also as someone who oversees and manages the entire product development process.
 

Nice to Have :

• Experience independently publishing applications on the App Store.
• Experience automating development workflows using AI agents.
• Experience working on multiple applications simultaneously.

 
A Russian-speaking team and a comfortable communication environment.

About the Product

We are developing a platform of AI analyst coworkers that deliver industry insights. The agents operate in secure, sandboxed environments and can use tools, communicate across channels, and complete complex tasks with human oversight.

About the Role

You will join a small engineering team building and operating the platform’s agentic AI capabilities. This is a hands-on role covering AI agents, system architecture, production reliability, feature design and secure deployment.

Tech Stack

- TypeScript, Node.js, and Bun

- LLM APIs, agent SDKs, and MCP

- SQL and SQLite

- GCP, including Cloud Run, Cloud Build, and Artifact Registry

- Terraform and CI/CD

- Event-driven messaging and asynchronous processing

- Structured logging, monitoring, and tracing

Key Responsibilities

- Design and build production AI agents that can plan, use tools, maintain context, and complete complex tasks.

- Design scalable systems for agent orchestration, messaging, task execution, permissions, and persistent state.

- Integrate LLM providers, external APIs, databases, and communication channels.

- Build secure, sandboxed environments for executing agent workloads.

- Develop evaluation, monitoring, and debugging tools for agent quality and reliability.

- Deploy and operate AI services on GCP.

- Own technical decisions and establish strong engineering, testing, and security practices.

Required Skills

- 7+ years of software engineering experience.

- Hands-on experience delivering production AI or agentic systems used by real users.

- Strong system design experience, particularly with distributed and event-driven systems.

- Strong backend development skills in TypeScript, Python, Go, Java, Rust, or a similar language.

- Experience with LLM APIs, tool calling, structured outputs, context management, and agent workflows.

- Experience with SQL databases, asynchronous processing, retries, idempotency, and failure handling.

- Production experience with GCP, Docker, CI/CD, and infrastructure as code.

- Strong understanding of application security, permissions, secrets, and workload isolation.

- Experience with observability, incident investigation, and production operations.

- Ability to work independently and communicate clearly in a fast-moving environment.

Nice to Have

- Experience with agent frameworks such as LangGraph, LangChain, CrewAI, OpenAI Agents SDK, Claude Agent SDK, or similar.

- Experience with Terraform, Kubernetes, vector search, RAG, or multi-agent systems.

- Experience with financial research or analyst workflows.

Who We Are

Adélie Cognition builds solutions for a private investment firms and offices powered by latest AI models.

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking a Senior AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect, the Senior AI Engineer will translate approved architecture and security decisions into working software, integrations, deployment patterns, tests, and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure, maintainable, and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI, Azure, integration, and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code, solving complex integration challenges, testing assumptions, and delivering reliable technical solutions.

Position Responsibilities:

• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases
• Develop, review, refactor, test, and maintain application code using Python and other supported development technologies
• Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services
• Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services
• Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns
• Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns
• Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation
• Implement appropriate authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls
• Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks
• Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs
• Maintain clear implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while proactively communicating blockers, scope changes, and delivery risks

• Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

   

Requirements:

• 7+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations
• Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows
• Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology
• Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment
• Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations
• Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems
• Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management
• Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices
• Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions
• Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment

• English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation

   

Desirable Qualities:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies
• Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform
• Experience with technologies such as Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms
• Experience developing evaluation datasets, regression tests, or other approaches for testing non-deterministic AI components
• Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use
• Experience supporting financial services, regulated industries, enterprise clients, or other environments with strong security and compliance requirements
• Relevant Microsoft Azure, AI, software engineering, or cloud certifications

• Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing

   

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Senior AI/ML Engineer (Python / LLM / Claude)

Project Details

• Project: B2B SaaS / AI & Machine Learning
• Workload: To be confirmed
• Location: To be confirmed
• Duration: To be confirmed
• Rate: To be discussed (B2B)
• English: B2+

• Start: To be confirmed

   

We are looking for an experienced Senior AI/ML Engineer to join the engineering team of a B2B SaaS company and develop intelligent, AI-powered features for an established product.

You will work with traditional machine learning, data science, and modern LLM technologies, particularly Anthropic Claude, taking solutions from experimentation to production.

About the Project

Our client develops a B2B SaaS platform for analyst relations and influencer management.

The platform helps technology companies manage industry analyst relationships, monitor market perceptions, analyze competitive intelligence, and measure influence on purchasing decisions.

The existing technology stack includes Angular, C#/.NET, SQL Server, and MongoDB.

You will collaborate closely with backend, frontend, and product teams to integrate AI capabilities into the platform.

Responsibilities

• Design, train, evaluate, and deploy ML models for classification, clustering, recommendations, NLP, and forecasting.
• Develop AI-powered features using LLM APIs, particularly Anthropic Claude.
• Implement prompt engineering, tool calling, structured outputs, and RAG pipelines.
• Build Python-based services and REST APIs using FastAPI or Flask.
• Extract, process, and transform data from SQL Server and MongoDB.
• Perform feature engineering, model evaluation, and experimentation.
• Create evaluation datasets and automated tests for LLM accuracy, quality, and safety.
• Optimize inference latency and costs through caching, batching, and model selection.
• Monitor production models for performance, accuracy, drift, and operational costs.
• Integrate AI services with the existing .NET backend and Angular frontend.
• Participate in code reviews, CI/CD workflows, and Agile development processes.
• Take ownership of AI features from initial prototyping through production deployment.

Requirements

• 5+ years of professional experience in Machine Learning, Data Science, or AI Engineering.
• Strong Python programming skills, including pandas, NumPy, and scikit-learn.
• Hands-on experience with PyTorch or TensorFlow.
• Strong understanding of supervised and unsupervised learning, feature engineering, and model evaluation.
• Practical experience with LLM APIs, preferably Anthropic Claude.
• Experience with prompt engineering, tool calling, RAG, and LLM evaluation.
• Strong experience developing REST APIs using FastAPI, Flask, or similar frameworks.
• Working knowledge of SQL and NoSQL databases, preferably SQL Server and MongoDB.
• Experience delivering production-ready ML/AI solutions.
• Familiarity with Git, code reviews, and Agile/Scrum practices.
• Strong problem-solving skills and the ability to select appropriate AI/ML approaches based on business requirements.
• Bachelor's degree in a relevant field or equivalent practical experience.
• English: Upper-Intermediate (B2+) or higher.

Nice to Have

• Experience with vector databases such as MongoDB Atlas Vector Search, pgvector, or Pinecone.
• Familiarity with AI agents, MCP, or Claude Agent SDK.
• Experience using Claude Code or similar AI-assisted development tools.
• Basic knowledge of C#/.NET and Angular/TypeScript.
• MLOps experience with Docker, CI/CD, MLflow, Azure, or AWS.
• Experience developing multi-tenant B2B SaaS products.
• NLP experience with unstructured business data, documents, emails, or research content.
• Understanding of data privacy and security in AI applications.

If you have strong ML engineering expertise and hands-on experience building production LLM applications, we'd be happy to hear from you!

We are looking for an AI Platform Lead Engineer to join a project focused on building an AI-powered decision platform for pharmaceutical commercial teams. The platform is being developed for a US healthcare data and analytics company. It uses pharmacy, payer, patient, and clinical data to generate AI-driven insights and recommendations, explain decisions, and track their outcomes.

You will work with a team of engineers to build the platform, develop AI solutions, and integrate them with the client's existing applications. 

What We're Looking For:

• 5+ years of software engineering experience, with 2+ years focused on designing and building LLM-based and agentic systems in production
• Proficiency with Python (or similar modern backend stack) for scalable service and API development
• Hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LlamaIndex, or custom agent loops) and cloud LLM services (ideally Amazon Bedrock)
• Strong hands-on AI engineering experience, including prototyping and developing core components
• Experience with event-driven, multi-tenant SaaS architecture and cloud platforms (AWS)
• Understanding of AI evaluation, traceability, audit trails, and human-in-the-loop workflows
• Experience with technical planning, scoping, estimation, and roadmaps
• Technical leadership experience, including design and code reviews for distributed teams
• Experience working directly with clients and product leadership
• Knowledge of AI governance, risk controls, human oversight, and documentation
• Understanding of data platforms and knowledge graph architecture
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Lead the architecture and development of the AI platform
• Design and build LLM-based solutions and AI agent workflows
• Develop prototypes and core platform components alongside the team
• Integrate AI solutions with client applications and data sources via APIs
• Design and maintain scalable cloud-based architecture on AWS
• Implement AI evaluation, monitoring, traceability, and human oversight mechanisms
• Define technical scope, estimates, and development roadmaps
• Guide engineers, conduct technical reviews, and ensure code quality
• Collaborate with client engineering and product teams

Will Be a Plus:
 

• Experience in Pharma, Healthcare, or Life Sciences
• Experience building AI solutions in regulated environments
• Understanding of healthcare data standards and interoperability

We are looking for a Senior AI Platform Engineer to join a project focused on building an AI-powered decision platform for pharmaceutical commercial teams. The platform is being developed for a US healthcare data and analytics company. It uses pharmacy, payer, patient, and clinical data to generate AI-driven insights and recommendations, explain decisions, and track their outcomes.

You will work alongside other engineers to build and develop the platform, implement LLM-based solutions and agentic workflows, and integrate AI capabilities with the client's existing systems.

What We're Looking For:

• 5+ years of commercial software engineering experience, with at least 2 years focused on building and deploying LLM applications in production (RAG, tool calling, structured outputs)
• Strong Python backend development skills, including event-driven services and APIs on AWS
• Experience developing agentic workflows using LangGraph, LangChain, or similar frameworks
• Understanding of multi-step agent workflows and human-in-the-loop processes
• Experience with LLM APIs and managed AI platforms, preferably Amazon Bedrock
• Experience with LLMOps: evaluation, tracing, observability, and prompt versioning
• Ability to track and document the sources and reasoning behind AI-generated recommendations
• Experience with Document AI and extracting structured data from contracts, specifications, and notes
• Knowledge of graph queries and graph-based data structures
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Design, develop, and maintain LLM-powered applications and AI agent workflows
• Build and improve RAG pipelines, tool integrations, and structured output processes
• Develop Python backend services and API integrations on AWS
• Implement document processing, data extraction, and validation workflows
• Build mechanisms for AI evaluation, monitoring, and traceability
• Ensure AI-generated recommendations are supported by relevant sources and reasoning
• Implement human-in-the-loop workflows to support reliable AI decision-making
• Collaborate with engineers and product stakeholders to deliver and improve platform capabilities

Will Be a Plus:
 

• Experience in Pharma, Healthcare, or Life Sciences
• Experience building AI solutions in regulated environments
• Understanding of healthcare data standards and interoperability

Project Details

• Location: Ukraine / EU
• Work format: Full-time
• Duration: 3+ months
• Rate: Up to $20/hour

• English: B2+

   

Senior Data Engineering / AI Specialist (RAG / Vector Search)

We are looking for a Senior Data Engineering / AI Specialist to build large-scale document processing and retrieval infrastructure for an AI-powered platform used in construction and infrastructure project management.

The platform works with more than 1 million documents and 10+ TB of data per client, enabling intelligent search and analysis across complex project portfolios.

Responsibilities

• Design and implement scalable batch ingestion pipelines for millions of documents.
• Build resumable, partitioned data processing workflows with retries, deduplication, and quality controls.
• Develop document parsing pipelines, including OCR, table extraction, and layout analysis.
• Generate structure-aware chunks, embeddings, metadata, and hierarchical summaries.
• Design and optimize hybrid search infrastructure combining BM25 and vector search.
• Implement reranking, metadata filtering, hierarchical retrieval, and context compression.
• Evaluate retrieval quality using golden datasets, recall, precision, and faithfulness metrics.
• Optimize GPU inference, batch processing throughput, and infrastructure costs.
• Support incremental document updates, versioning, and production operations.

Requirements

• Strong production experience with large-scale data processing, including millions of documents or multi-terabyte datasets.
• Hands-on experience with Spark, Ray, AWS Batch/Glue, Kubernetes Jobs, or equivalent technologies.
• Experience with vector databases and search engines such as OpenSearch, Elasticsearch, pgvector, Milvus, or Qdrant.
• Strong understanding of vector indexing, hybrid search, ANN tuning, and partitioning.
• Experience with document parsing, OCR, and table extraction technologies.
• Practical experience implementing RAG pipelines, embeddings, chunking, and reranking.
• Experience evaluating retrieval quality through benchmarks and measurable metrics.
• Strong Python skills.
• Production experience with AWS, Azure, or GCP.
• Experience estimating and optimizing GPU, compute, and LLM token costs.
• English: B2+.

Nice to Have

• GPU inference experience with vLLM, Triton, or TEI.
• Experience with Apache Iceberg, Delta Lake, or Parquet.
• Knowledge of GraphRAG and entity linking.
• Experience with permission-aware retrieval and audit requirements.
• Background in construction, engineering, legal technology, or other document-intensive domains.
• Experience deploying solutions across multiple cloud environments.

We are looking for an engineer who can combine strong data engineering expertise with practical AI retrieval experience and build reliable, scalable production systems.

We are looking for a mature, senior-level AI/ML Engineer to join the engineering team of a B2B SaaS product company to build machine learning and AI features into its platform.

About the Client

Our client is a SaaS product company working in analyst relations (AR). Its platform helps technology vendors and B2B companies manage, track, and measure their relationships with industry analysts who influence buyers in the market.

The product combines a specialized CRM with a searchable database of analysts and influencers, analytics and reporting dashboards (share of voice, sentiment, competitive intelligence), and an analyst-facing self-service portal.

About the Role

You will design Python-based models and services, integrate large language models (Anthropic’s Claude), and ship them alongside the client’s software engineering team.

The platform runs on Angular, C# (.NET), SQL Server and MongoDB. You will not be the primary developer on that stack, but you will work in it daily: pulling data from it, exposing your models to it through APIs, and pairing with engineers to get AI features into production.

You will report to the VP of Engineering. This is a full-time, fully remote position that requires at least 3-4 hours of daily overlap with US Eastern Time for standups and pairing.

What You’ll Do

Machine learning and data science

• Design, train, evaluate and deploy ML models for classification, clustering, recommendation, NLP and forecasting use cases.
• Explore, clean and engineer features from product data stored in SQL Server and MongoDB.
• Define metrics, run experiments and report results clearly to engineering and product stakeholders.
• Monitor models in production for drift, accuracy and cost, and retrain as needed.

AI and Claude integration

• Build LLM-powered features using the Claude API: prompt design, tool use, structured outputs and retrieval-augmented generation (RAG).
• Develop evaluation sets and automated tests to measure LLM output quality, accuracy and safety.
• Optimize LLM usage for latency and cost (prompt caching, model selection, batching).
• Use AI coding assistants such as Claude Code to speed up your own development work.

Working with the product engineering team

• Package models and AI logic as Python services and REST APIs that the C# (.NET) backend calls.
• Work with Angular developers to shape how AI features appear and behave in the UI.
• Write efficient SQL Server queries and MongoDB aggregations, and help design schemas for the data that ML features need.
• Take part in code reviews, sprint planning and standups, following the team’s Git, CI/CD and testing practices.
• Document models, data pipelines and APIs so other engineers can support them.

Required Qualifications

• 5+ years of professional experience in data science, ML engineering or a similar role.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent experience.
• Strong Python skills, including pandas, NumPy and scikit-learn.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals: supervised and unsupervised learning, feature engineering, model evaluation and avoiding overfitting.
• Practical experience building with LLM APIs, ideally Anthropic Claude: prompt engineering, tool use, RAG and output evaluation.
• Experience building and consuming REST APIs in Python (FastAPI or Flask).
• Working knowledge of SQL (SQL Server preferred) and a NoSQL document database (MongoDB preferred).
• Comfortable with Git, code reviews and Agile/Scrum workflows.
• Clear written and spoken English (Upper-Intermediate or higher) for daily collaboration with a distributed team.
• Proactive written communication: status updates, clear questions and documented decisions.
• Ownership of features from prototype to production, not just notebooks.
• Curiosity about new AI capabilities and the judgment to know when a simpler approach is better.

Nice to Have

• Experience with vector databases or embedding search (e.g., MongoDB Atlas Vector Search, pgvector, Pinecone).
• Familiarity with agent frameworks, the Model Context Protocol (MCP) or the Claude Agent SDK.
• Reading-level familiarity with C# / .NET and Angular / TypeScript, enough to trace how your services are called.
• MLOps experience: Docker, CI/CD pipelines, model versioning (MLflow or similar) and cloud deployment (Azure or AWS).
• Prior work on a multi-tenant B2B SaaS product.
• NLP work on unstructured business text such as documents, emails or research content.
• Understanding of data privacy and security practices for customer data used in AI features.

Recruitment Process

1. Pre-screen call with a Recruitment Manager — 45 minutes.
2. Pre-screen call with the client (VP of Engineering) — 30 minutes.
3. Pre-screen call with the client (Product Manager) — 30 minutes.

Solid Software is looking for an AI Software Architect/ Senior AI Engineer to design and deliver production-grade solutions powered by LLMs. The role requires deep expertise in architecting, building, and operating complex AI systems: RAG, agentic workflows, tool calling, evaluation frameworks, and observability platforms.

The ideal candidate pairs strong software engineering fundamentals with a track record of shipping real-world AI products. Beyond experimentation, you can design scalable, reliable, and cost-effective LLM solutions that run successfully in production, with a solid grasp of modern AI architecture patterns, prompt engineering, retrieval systems, and agent orchestration.

What will you do?
 

• Own the architecture of AI-powered services and ensure their effective integration with backend, mobile, and web applications.
• Design, build, and maintain production-grade LLM applications using modern AI frameworks and orchestration platforms.
• Lead technical design reviews and drive architectural decisions across AI services, backend systems, data pipelines, and cloud infrastructure.
• Design and implement agentic workflows involving tool use, function calling, multi-agent systems, planning, memory management, and reasoning chains.
• Design and optimize RAG architectures using vector databases, embeddings, document processing pipelines, and retrieval optimization techniques.
• Establish evaluation frameworks to assess AI quality, reliability, latency, cost, and business impact, including benchmarking and automated quality assessment.
• Implement AI observability and monitoring using tools such as Langfuse, LangSmith, OpenTelemetry, and similar platforms.
• Optimize prompts, retrieval strategies, model selection, and system architecture to improve accuracy, performance, reliability, and cost efficiency.
• Design scalable APIs and services that expose AI capabilities to internal and external applications, and deploy them on cloud platforms, primarily Google Cloud Platform (GCP).
• Collaborate with software engineers, data scientists, product managers, and domain experts to translate business requirements into practical AI solutions.
• Define AI engineering standards, best practices, and governance processes to support the development and maintenance of reliable AI systems.
• Mentor engineers working on AI initiatives and contribute to architectural decisions and technical direction.
• Document AI architectures, workflows, evaluation methodologies, and operational procedures to ensure maintainability and knowledge sharing.

Requirements:
 

• 10+ years of software engineering experience, including 5+ years building LLM-based and generative AI solutions in production.
• Upper-Intermediate English (B2 or C1) for comfortable verbal communication within an international team.
• A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• Strong Python development experience and software engineering fundamentals.
• Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies.
• Practical experience designing and implementing agentic systems involving tool use, function calling, planning, memory management, and multi-agent workflows.
• Strong expertise in RAG architectures, vector databases, embeddings, prompting strategies, context management, and retrieval techniques.
• Experience with AI evaluation and observability tools such as Langfuse, LangSmith, or similar platforms, including benchmarking, monitoring, and automated quality assessment.
• Experience working with structured and unstructured data pipelines and databases, including PostgreSQL, vector databases, and document stores.
• Production deployment experience with Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
• Ability to evaluate architectural trade-offs involving model performance, latency, reliability, maintainability, and cost.
• Strong communication, technical leadership, and mentoring skills, with the ability to collaborate effectively across engineering, data, and product teams.
• Experience with mobile application development or architecture is a strong advantage.

Nice to have:

• Experience working with commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, and Mistral, as well as fine-tuning techniques.
• Experience in regulated, privacy-sensitive, or high-availability environments.
• Experience integrating AI capabilities into mobile and web applications.
• Familiarity with synthetic data generation and model optimization techniques.

Why Solid Software?

• We support Ukraine; 
• A wonderful team of enthusiasts and like-minded people;
• Atmosphere of comfortable work & life balance;
• Flexible schedule and work-from-home opportunity;
• Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
• MacBook Pro and great tech;
• Decent compensation;
• Lack of bureaucracy;
• Compensation for professional events, sports activities;
• Corporate online parties and fun team-buildings;
• Anniversary and birthday presents.

Professional growth:

• Onboarding and mentorship program with a dedicated onboarding guide built by our team;
• Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
• Corporate library with the best programming books (+ an ability to order a particular book if we don't have it);
• Professional and constant feedback.

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team. 

Apply now and help us shape what comes next!

GR8_TECH builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.

Why this role exists:

This role exists to design, build, and operate production-grade AI agent infrastructure and services on AWS. The engineer will establish robust agent orchestration, secure tool execution, and reliable runtime controls to support scalable LLM-powered systems.

What you’ll drive:

Agentic AI Platform Engineering

• Design, build, and operate production-grade AI agent infrastructure.
• Develop agent orchestration, stateful workflows, and durable execution.
• Implement reliable agent execution, checkpointing, retries, and failure recovery.
• Build MCP-based integrations and secure tool execution.
• Develop reusable platform components, APIs, and SDKs.

Production & Reliability

• Design scalable, fault-tolerant AI services on AWS.
• Implement LLM gateways, model routing, fallbacks, and cost controls.
• Build observability, tracing, and evaluation for agentic workflows.
• Optimize performance, latency, scalability, and infrastructure costs.
• Own technical solutions from architecture to production support.

Security & Governance

• Implement authentication, authorization, and access controls for agents and tools.
• Integrate human-in-the-loop approvals and execution safeguards.

• Establish engineering standards for secure and reliable AI systems.

   

What makes you a GR8 fit:

Must-have

• 5+ years of software engineering experience with strong Python backend expertise.
• Proven experience building and operating LLM-powered systems in production.
• Hands-on experience with agent orchestration frameworks (LangGraph, or similar).
• Practical experience with LLM APIs, tool/function calling, and agentic workflows.
• Strong understanding of distributed systems, asynchronous processing, and fault tolerance.
• Experience with Python type safety, data validation, and schema management (Pydantic or equivalent).
• Experience with cloud infrastructure (preferably AWS), Docker, and CI/CD.
• Understanding of API security, authentication, and authorization.
• Strong engineering fundamentals: system design, testing, debugging, and observability.
• Ability to independently design, implement, and operate complex technical components.

Nice-to-have

• Production experience with LangGraph and LangChain.
• Experience with MCP servers, clients, gateways, and tool integration infrastructure.
• Durable workflows, checkpointing, and distributed state management.
• LLM gateways, model routing, caching, and inference optimization.
• Agent evaluation, tracing, and observability (MLFlow, Langfuse, OpenTelemetry).
• Kubernetes (EKS), event-driven architectures, and platform engineering.
• Agent security, sandboxing, and human-in-the-loop workflows.
• RAG architectures and vector databases.

Tech Stack

• Languages: Python, SQL
• AI & Agents: LangGraph, LangChain, Pydantic, MCP
• LLMs: Amazon Bedrock, Anthropic, OpenAI
• Observability: Langfuse, OpenTelemetry, CloudWatch
• Cloud: AWS (EKS, Lambda, S3, SQS, IAM)
• Infrastructure: Docker, Kubernetes, GitLab CI/CD
• Integrations: REST APIs, OAuth 2.0, event-driven systems
   

Why you’ll love working here:

Benefits Cafeteria — annual budget you allocate to:

• Sports • Medical • Mental health • Home office • Languages.
   

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.
   

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

For an AI platform project in the construction and infrastructure consulting space (1M+ documents per client).

Brief requirements:
• Production experience with large-scale batch pipelines (millions of documents / multi-TB): Spark, Ray, AWS Batch/Glue, Kubernetes
• Search and vector databases at scale: OpenSearch/Elasticsearch, pgvector, Milvus, Qdrant, hybrid search, index design
• Document parsing and OCR for scans and complex files: Docling, Unstructured, PaddleOCR, Textract, Azure Document Intelligence
• RAG and retrieval evaluation: chunking, embeddings, rerankers, golden sets
• Python, AWS (Azure/GCP also fine), cost control of GPU and LLM tokens