Jobs ML / AI

We are looking for engineers who are passionate about AI-native development, comfortable working with ambiguity, and excited about using AI agents to fundamentally change how software is built.

Key Responsibilities:

AI-Native Software Development

• Design, develop, and deploy enterprise-grade applications built around AI agents and Large Language Models (LLMs).
• Build scalable AI-native architectures where intelligent agents are integral to the system design.
• Develop reliable, maintainable, and production-ready software using modern engineering practices.
• Leverage AI coding agents to accelerate development while maintaining high standards of code quality.

LLM Integration & Agentic Systems

• Integrate LLMs into production environments, focusing on retrieval, context engineering, and output validation.
• Design and implement multi-agent workflows, including task orchestration, agent responsibilities, and control mechanisms.
• Develop robust AI solutions with appropriate guardrails, fallback mechanisms, and error handling.
• Implement monitoring, logging, and testing strategies to ensure the reliability, security, and traceability of AI-driven systems.

Software Architecture & Engineering Excellence

• Take ownership of technical solutions from initial requirements through production deployment.
• Design architectures that balance rapid prototyping with enterprise-level quality and reliability.
• Maintain engineering standards across code reviews, automated testing, and CI/CD pipelines.
• Review, validate, and improve AI-generated code to ensure production readiness.
• Identify technical risks, troubleshoot complex issues, and continuously improve system performance.

Required Qualifications

• 5+ years of professional software engineering experience, including hands-on development of production applications.
• Strong programming skills in at least one of the following languages: Python, Java, Go, or TypeScript.
• Recent, practical experience designing, developing, or integrating AI/LLM-based solutions.
• Hands-on experience using AI coding agents in daily software development workflows.
• Strong understanding of AI-assisted development, including code validation, debugging, and common failure modes of coding agents.
• Experience building or integrating LLM-powered applications, including retrieval mechanisms, context management, and output validation.
• Solid understanding of software architecture, design principles, and production engineering practices.
• Experience with automated testing, code reviews, version control, and CI/CD processes.
• Ability to independently investigate complex technical problems and deliver end-to-end solutions.
• Strong analytical thinking, problem-solving skills, and attention to engineering quality.
• Excellent communication skills in English, with the ability to collaborate confidently with technical teams and business stakeholders.
• Ability to work effectively in dynamic environments where requirements may evolve or initially be undefined.

Additional Relevant Experience

The following experience would be valuable for this role:

• Designing and implementing multi-agent AI systems and agent orchestration workflows.
• Building Retrieval-Augmented Generation (RAG) solutions.
• Implementing LLM evaluation, guardrails, fallback strategies, and observability.
• Working on enterprise-grade AI applications with strict reliability and quality requirements.
• Participating in customer-facing engineering projects or enterprise solution delivery.
• Taking technical ownership of projects involving multiple stakeholders and complex business requirements.

What We Offer:

Work on Enterprise AI Solutions

Build real-world AI-native systems for established enterprise customers, working on challenging engineering problems with measurable business impact.

Fully Remote Work

Work remotely without business travel while collaborating with international enterprise clients and following their working schedules.

Experienced Technical Leadership

Receive direct guidance from hands-on engineering principals with extensive experience building and operating large-scale enterprise systems.

Access to Advanced AI Tooling

Work with modern AI development tools and agent-assisted engineering workflows.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are looking for a Senior AI Developer to join our CEE IT Digital Solutions team and build high-quality enterprise AI solutions.

You will work closely with other developers, business analysts, project managers, security teams, and other stakeholders to design, develop, deploy, and support AI-based solutions built primarily on the Microsoft Power Platform and Azure ecosystem.

This role is ideal for a hands-on developer with strong experience in Microsoft Copilot Studio, Microsoft Foundry, AI agents, Azure services, and modern AI engineering frameworks. The developer should be able to quickly prototype, deliver MVPs, and build production-ready solutions. Continuously improving AI solutions while applying strong engineering, security, and delivery practices is required. 

What You’ll Do:

• Build, test, deploy, and support AI-based solutions using Microsoft Copilot Studio, Microsoft Foundry, Azure and related technologies. 
• Design and implement AI agents, workflows, orchestration patterns, integrations, and Human-in-the-Loop solutions. 
• Develop AI-powered applications, APIs, services, prototypes, MVPs, and production-ready solutions. 
• Implement RAG, knowledge grounding, embeddings, chunking, and vector search approaches to improve AI solution quality and relevance. 
• Build integrations with other enterprise systems, Microsoft services, databases, APIs, and cloud services. 
• Develop solutions using Azure services such as App Services, Functions, Blob Storage, Key Vault, Azure SQL, and other Azure platform services. 
• Optimize prompt engineering strategies, model selection, evaluation, monitoring, observability, and continuous improvement of AI solutions. 
• Troubleshoot, debug, optimize, and maintain AI solutions across development, testing, and production environments. 
• Create reusable assets, templates, write technical documentation, and engineering best practices. 
• Support members to grow AI engineering capabilities across the team. 

What We’re Looking For:

• 5+ years of experience in software engineering, application development, or intelligent automation development. 
• 2+ years of experience designing and delivering AI, GenAI, intelligent automation, or machine learning solutions. 
• Advanced hands-on experience with Microsoft Copilot Studio - agents, workflows, evaluation, orchestration, integrations, skills, topics etc. 
• Strong hands-on experience with Microsoft Foundry including custom agent hosting on Foundry. 
• Strong experience with Azure OpenAI and Azure AI Search. 
• Proficient Python development skills. 
• Basic knowledge of Streamlit for building AI applications, demos, internal tools, or prototypes. 
• Strong understanding of REST APIs and hands-on experience with API development frameworks and tools such as Spring Boot, FastAPI, Express.js or similar technologies. 
• Practical experience with Azure clous services such as App Services, Azure Functions, Blob Storage, Key Vault, Azure SQL, storage, integration, and other Azure platform services. 
• Hands-on experience with SQL and relational databases for application development, data analysis, and troubleshooting. 
• GitHub and source control knowledge. 
• Prompt Engineering skills. 
• MCP - Model Context Protocol applied knowledge. 
• Be familiar with LangChain and/or LangGraph 
• Strong understanding of AI-assisted software development practices, including the effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants. 
• Solid knowledge of embeddings, chunking strategies, vector search architectures, and RAG implementations. 
• Experience implementing agentic workflows, orchestration patterns, multi-agent solutions, and Human-in-the-Loop AI workflows. 
• Experience with LLM evaluation techniques, AI quality metrics, benchmarking approaches, and solution evaluation methodologies. 
• AI observability, tracing, and monitoring concepts. 
• AI cost optimization and token consumption awareness. 
• Ability to write clean, modular, maintainable, and well-documented code. 
• Ability to communicate effectively with both technical and business audiences. 
• Fluent spoken and written English. 

What Is Nice to Have:

• Power Platform - Power Automate. 
• Azure DevOps CI/CD. 
• Microsoft Graph API. 
• Agentic frameworks: Microsoft Agent Framework, AutoGen, CrewAI, and other modern agentic frameworks. 
• Vector Databases knowledge: Qdrant, ChromaDB. 
• Data & Analytics Platforms: Databricks, Microsoft Fabric. 
• Containers, Docker, Kubernetes. 
• Voice agents and conversational AI solutions, including platforms such as ElevenLabs or similar providers. 

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Key Responsibilities

• Utilize AI-driven design tools and generative platforms (Figma AI, v0, Midjourney, Galileo, Claude) to brainstorm, wireframe, and prototype UI concepts at unmatched speed.
• Translate business requirements and complex functional needs into intuitive, visually engaging UI/UX designs that simplify information and enhance user trust.
• Design, refine, and maintain scalable, multi-platform Design Systems and component libraries in Figma, maintaining style guides and ensuring seamless developer handoffs.
• Conduct user research, map out user flows, and perform usability testing to track UX metrics (e.g., task success, feature adoption) and validate design decisions.
• Collaborate closely with frontend developers to ensure accurate design implementation, maintaining consistency in design language across web and mobile platforms.
• Work with the product team to optimize user journeys, focusing on accessibility, micro-interactions, and visual engagement in an EdTech and learning environment.

Requirements

• 5+ years of proven experience as a UI/UX, Product, or Interaction Designer across web and mobile application platforms.
• Hands-on proficiency integrating AI workflows into daily design practices (generative image creation, AI-assisted wireframing, prompt-driven UI generation, and user journey synthesis).
• Mastery of design and prototyping tools, primarily Figma (Auto Layout, Variants, Variables, Design Systems, Interactive Prototyping) or Sketch/Adobe XD.
• Strong understanding of responsive design, accessibility standards (WCAG), and ethical design practices.
• Solid understanding of front-end capabilities (HTML5, CSS3/Tailwind, basic JavaScript/Vue/Nuxt) to ensure realistic, developer-friendly design handoffs.
• Strong portfolio demonstrating end-to-end UX research, wireframing, high-fidelity UI design, and design system engineering.
• Language: Full professional proficiency in English (B2+).

Nice-to-Have

• Strong portfolio demonstrating experience in educational platforms, SaaS, or video-based e-learning products.
• Experience creating web assets or interactive prototypes using Webflow, Framer, or low-code builders.
• Knowledge of visual design for paywalls, onboarding flows, and conversion rate optimization (CRO) mechanics.
• Experience designing for AI-native product interfaces (chat interfaces, prompt canvases, generative feedback states).

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!

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).

Conditions and Benefits

• Remote Work: flexible schedule from anywhere in Ukraine and Europe; optional workplace in Dnipro.
• Competitive Compensation and Bonuses based on project results.
• Medical Insurance, Paid Vacation, and Learning Budget for professional growth.

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

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior ML Engineer to join our team!

Requirements:

• Strong production Python and ML systems experience
• Shipped ML workflows beyond notebooks (orchestration + cloud + ops)
• Familiar with distributed/batch ML compute and experiment/model versioning
• Comfortable owning systems end to end: design, implementation, debugging, operations

Will be a plus:

• CV, video, or foundation-model/auto-labeling experience
• Dagster/Airflow, Dask/Ray, AWS, ONNX/export workflows

Soft Skills:

• Ownership — takes responsibility for outcomes, not just tasks
• Learning agility — picks up new tools/domains fast and applies them quickly
• Experimentation mindset — tests ideas with clear hypotheses and shares results openly
• Cross-team collaboration — works well across projects and helps others succeed
• Clear communication — explains tradeoffs simply and keeps stakeholders aligned
• Pragmatism — balances ideal solutions with what the team needs now
• Comfort with ambiguity — makes progress in unclear R&D environments
• Constructive feedback — gives/receives feedback well in code reviews and pairing
   

Responsibilities:

• Build and maintain end-to-end ML pipelines: data ingestion → training → evaluation → export
• Operate distributed training/inference workloads on cloud GPU/CPU infrastructure
• Own dataset workflows: validation, splitting, versioning, and quality checks
• Integrate manual and automated labeling into reproducible training flows
• Maintain CI/CD, monitoring, runbooks, and internal CLI/API tooling
• Collaborate with product, domain experts, and QA to turn requirements into pipeline changes

Our benefits to you:
 

• Paid annual leave.
• Paid days off.
• RedCore TEAM corporate gamification system.
• Annual corporate events for employees.
• Reimbursement of business travel expenses.
• Flexible working format and start time.
• Employee learning and development system.
• Mentoring program.
• Overtime compensation.
• Referral program with a cash bonus.
• Corporate psychologist.
• Cafeteria benefit system: sports, insurance, language learning (depends on region).

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

About the Role

We’re looking for an experienced Forward Deployed Engineer (FDE) to build and deploy real-world AI solutions for international clients.

This role combines strong software engineering skills with a practical understanding of business needs.

You’ll work directly with clients, understand their challenges, design technical solutions, and take AI-powered applications from concept to production.

We’re looking for someone who can do more than write code — someone who can take ownership and make things work.

What You’ll Do

• Work directly with clients to understand their business needs and technical requirements.
• Design, build, and deploy AI-powered applications and integrations.
• Develop LLM-based solutions, RAG pipelines, and AI agents.
• Integrate AI solutions with existing APIs, databases, and enterprise systems.
• Build scalable backend services and production-ready infrastructure.
• Own the full implementation cycle, from discovery and prototyping to production deployment.
• Troubleshoot technical challenges and continuously improve deployed solutions.

Requirements

• 5+ years of software engineering experience.
• Strong Python development skills.
• Experience with backend development, APIs, and system architecture.
• Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models).
• Practical knowledge of RAG, AI agents, and LLM integrations.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Docker, CI/CD, and production deployment experience.
• Strong problem-solving skills and ability to work independently.
• Comfortable communicating directly with international clients.
• English B2+.

Nice to Have

• Experience with LangChain, LangGraph, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Kubernetes and distributed systems.
• Data engineering or ML infrastructure background.
• Experience as a Solutions Engineer, Solutions Architect, or Technical Consultant.
• Previous experience in client-facing engineering roles.

UK, hybrid (fully remote within Europe considered for a 100% fit)  ·  Full-time, 12 weeks initial, extension up to 6 months.

A B2B SaaS platform is kicking off a rapid AI enablement programme. They need a hands-on senior lead to take identified automations from idea to production, measured, governed and actually adopted by teams. The role sits within product engineering. It starts with Product, QA and Solutions delivery, then scales into a reusable orchestration framework across the business.

This is a high-ownership role: one named lead, personally accountable for delivery, stakeholder alignment and handover.

What you’ll do

- Assess and push forward a few in-flight automations, then deliver a portfolio of agentic workflows: QA & test generation, bug triage, requirements, solution implementation, docs, prototyping

- Design the target architecture: how people, agents and existing systems share work, using reusable integration/orchestration patterns

- Build in the guardrails: evals & thresholds, human approvals, audit trails, monitoring, failure handling

- Set baselines and measure real impact (not demo metrics)

- Train internal owners and hand over maintainable, documented workflows

Must have

- Personally designed and shipped production agentic / multi-step LLM workflows in a SaaS or software company, with measurable outcomes

- Strong hands-on Python or TypeScript + AWS in production; integrations across APIs, databases, events, queues

- Evals, observability, access control, human-in-the-loop design; MCP & secure tool integration

- Ability to select and govern AI models/tools (data handling, retention, security, limitations)

- AI-assisted SDLC with proper quality controls

- Credible with both executives and engineering teams

Nice to have

Laravel/PHP (existing platform) · multi-tenant SaaS · Amazon Bedrock / AgentCore · Google ADK, Strands or similar · AWS serverless (Lambda, SQS, Step Functions, EventBridge) · GDPR, ISO 27001, SOC 2, ISO 42001 environments

Probably not a fit if your AI experience is POCs/demos only, advisory without hands-on coding, or primarily ML research/model training.

Be ready to show: real production examples with before/after results, an architecture you personally designed, one production failure and how you fixed it, and a reference.

Join a team building technology that helps make life-saving drugs more accessible and affordable worldwide. We are looking for a Senior Full Stack Software Engineer to help scale an AI-driven platform used by pharmaceutical and biotech companies to improve manufacturing efficiency and reduce waste.

We at Sigma Software value ownership, engineering excellence, and meaningful innovation. You will join a fast-growing environment where your ideas directly influence the product and where modern technologies are used to solve real-world scientific problems. Why Join Us: work on impactful AI-powered solutions, collaborate with international experts, and grow your technical leadership in a high-impact domain.

CUSTOMER

Our Customer is a rapidly growing AI-driven biotech platform company focused on transforming pharmaceutical manufacturing processes. Their mission is to help life sciences organizations increase production efficiency, lower operational costs, and reduce material waste through intelligent automation and AI-powered solutions.

PROJECT

The project focuses on developing a scalable AI biomanufacturing platform that combines modern software engineering with machine learning capabilities. The platform enables pharmaceutical and biotech companies to optimize production processes through advanced analytics, automation, and AI-driven insights. You will contribute to the architecture, development, and deployment of mission-critical product features while working in a highly collaborative cross-functional environment.

RESPONSIBILITIES

• Design and develop scalable Full Stack features for the AI biomanufacturing platform
• Own product functionality end-to-end from architecture to production deployment
• Develop and maintain backend services, APIs, and frontend interfaces
• Collaborate with ML Scientists and Data Engineers to integrate AI capabilities into the platform
• Ensure engineering excellence through code reviews, testing, and technical documentation
• Mentor Junior engineers and contribute to engineering best practices
• Communicate directly with pharma clients and domain experts to translate business needs into technical solutions

• Improve platform reliability, scalability, and performance

   

REQUIREMENTS

• 5+ years of commercial Full Stack software engineering experience
• Strong proficiency in Python or TypeScript for backend development
• Experience with frontend development and modern web technologies
• Strong understanding of relational databases, API design, and distributed systems
• Experience delivering production-grade software with scalability and reliability considerations
• Good understanding of software architecture and engineering best practices
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Strong communication and collaboration skills
• Upper-Intermediate or higher English level

• Ability to take ownership from problem discovery to solution delivery

   

WILL BE A PLUS

• Experience working in regulated industries such as GxP, GMP, or HIPAA environments
• Familiarity with AI/ML integrations or LLM-powered products
• Background in life sciences, pharmaceutical, or biomanufacturing domains

• Experience with DevOps practices and infrastructure automation

   

PERSONAL PROFILE

• Proactive and ownership-driven mindset
• Strong problem-solving skills
• Passion for building impactful products
• Ability to work effectively in cross-functional teams
• Curious, adaptable, and fast-learning personality
• Attention to quality and engineering excellence

____________________________________________________________________________________

Приєднуйся до команди, яка створює технології, що допомагають зробити життєво необхідні ліки доступнішими та дешевшими у всьому світі. Ми шукаємо Senior Full Stack Software Engineer, який допоможе масштабувати AI-driven платформу, що використовується фармацевтичними та біотехнологічними компаніями для підвищення ефективності виробництва та зменшення відходів.

У Sigma Software ми цінуємо відповідальність, engineering excellence та змістовні інновації. Ти приєднаєшся до середовища, що стрімко зростає, де твої ідеї безпосередньо впливатимуть на продукт, а сучасні технології використовуються для вирішення реальних наукових задач. Чому варто приєднатися до нас: працюй над AI-powered рішеннями з реальним впливом, співпрацюй із міжнародними експертами та розвивай свою технічну експертизу й лідерство у high-impact domain.

КЛІЄНТ

Наш клієнт — це AI-driven biotech platform company, що стрімко зростає та трансформує процеси фармацевтичного виробництва. Їхня місія — допомагати компаніям у сфері life sciences підвищувати ефективність виробництва, знижувати операційні витрати та скорочувати кількість відходів завдяки intelligent automation та AI-powered solutions.

ПРОЄКТ

Проєкт зосереджений на розробці масштабованої AI biomanufacturing platform, яка поєднує сучасну software engineering експертизу та machine learning capabilities. Платформа допомагає фармацевтичним і біотехнологічним компаніям оптимізувати виробничі процеси за допомогою advanced analytics, automation та AI-driven insights. Ти долучишся до архітектури, розробки та deployment критично важливих функцій продукту, працюючи у highly collaborative cross-functional environment.

ОБОВʼЯЗКИ

• Проєктувати та розробляти масштабовані Full Stack features для AI biomanufacturing platform
• Відповідати за product functionality end-to-end — від архітектури до production deployment
• Розробляти та підтримувати backend services, APIs і frontend interfaces
• Співпрацювати з ML Scientists і Data Engineers для інтеграції AI capabilities у платформу
• Забезпечувати engineering excellence через code reviews, testing і technical documentation
• Менторити Junior engineers та сприяти розвитку engineering best practices
• Напряму комунікувати з pharma clients і domain experts, трансформуючи бізнес-потреби у технічні рішення

• Покращувати reliability, scalability та performance платформи

   

ВИМОГИ

• 5+ років комерційного досвіду у Full Stack software engineering
• Впевнене володіння Python або TypeScript для backend development
• Досвід frontend development та роботи із сучасними web technologies
• Глибоке розуміння relational databases, API design і distributed systems
• Досвід створення production-grade software з урахуванням scalability та reliability
• Хороше розуміння software architecture та engineering best practices
• Досвід роботи з cloud platforms, такими як AWS, GCP або Azure
• Сильні communication та collaboration skills
• Рівень англійської Upper-Intermediate або вище

• Здатність брати ownership — від виявлення проблеми до delivery рішення

   

ПЕРЕВАГОЮ БУДЕ

• Досвід роботи в regulated industries, таких як GxP, GMP або HIPAA environments
• Знайомство з AI/ML integrations або LLM-powered products
• Досвід у life sciences, pharmaceutical або biomanufacturing domains

• Досвід роботи з DevOps practices та infrastructure automation

   

ПЕРСОНАЛЬНИЙ ПРОФІЛЬ

• Проактивний підхід і ownership-driven mindset
• Сильні навички problem-solving
• Захоплення створенням продуктів із реальним впливом
• Здатність ефективно працювати у cross-functional teams
• Допитливість, адаптивність і здатність швидко навчатися
• Уважність до якості та engineering excellence

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

AI Engineer
Join Acropolium - Where People Matter, and Ideas Grow

Acropolium is an international software development and tech consulting company with over 22 years of experience in delivering scalable, human-centric digital solutions. We partner with clients across 20+ industries - from bold startups to established unicorns - helping them grow, adapt, and thrive.
With ISO 9001 certification and 450+ successful applications behind us, we combine deep technical expertise with a people-first culture. Our core team is in it for the long run - over 60% have been with us for more than 10 years - and we’re growing fast.

About the Role
We are looking for an AI Engineer to join our technical teams and work on AI-powered products and solutions.
You’ll have the opportunity to work across different areas of AI - from machine learning and deep learning to Generative AI, LLM-based applications, and AI-powered features.
The exact technology stack will depend on the project, and we’re open to professionals with different AI/ML backgrounds.

Key Responsibilities

• Design, develop, and integrate AI/ML solutions into production systems.
• Build and optimize machine learning models and data-driven solutions.
• Develop applications powered by Generative AI and Large Language Models.
• Work with LLM APIs, embeddings, vector search, RAG, and related technologies where relevant.
• Prepare and process data for training, evaluation, and inference.
• Deploy, monitor, and improve AI/ML solutions in production environments.
• Collaborate with software engineers, data specialists, and other stakeholders to turn business needs into practical AI solutions.
• Explore emerging AI technologies and evaluate their potential for real-world applications.

Technologies & Areas
Depending on the project, you may work with:
 

• Python
• Machine Learning / Deep Learning
• PyTorch, TensorFlow, scikit-learn
• Generative AI and LLMs
• OpenAI, Anthropic, Gemini, and open-source models
• RAG, embeddings, vector databases, AI agents
• MLflow and other MLOps tools
• AWS, Azure, or Google Cloud AI/ML services
• Data processing and analytics

What We’re Looking For
 

• Commercial experience in AI Engineering, Machine Learning, Data Science, or a related field
• Strong Python skills
• Practical experience developing and deploying AI/ML solutions
• Good understanding of machine learning concepts and the ML lifecycle
• Experience with Generative AI or LLM-based applications is a strong plus
• Ability to translate business or product requirements into practical technical solutions
• Strong analytical and problem-solving skills
• English - B2 or higher

We’re open to different backgrounds, including AI Engineers, ML Engineers, Data Scientists, and MLOps Engineers.

Why You’ll Love Acropolium
 

• People-First Culture - A team that values openness, trust, and genuine connections.
• Keep Growing - Career development, learning resources, and opportunities to expand your expertise.
• Work-Life Balance - A culture that values your personal time and well-being.
• Work Equipment Support - We help you get the equipment you need to work comfortably and effectively.
• Rewards & Recognition - Earn internal Kudos currency and redeem it for Acropolium merch.
• Referral Program - Recommend great people to join our team and get rewarded.
• Little Extras, Big Smiles - Enjoy company events and thoughtful annual gifts for our team members and their children.
• Making a Difference Together - We support our colleagues serving in the military and believe in making a positive impact beyond our business.
   

Let’s DARE TO CREATE* together.
Join Acropolium - not just a job, but a place to belong.

A small AI startup in the US is looking for an independent person to own testing and customer communication. Our products run over SMS, RCS, WhatsApp and web.

The main thing: you talk and write with the US leadership, team and clients in English every day. Without that this role will not work.

What you will do

Test the products by hand on real devices and over time build test automation. Keep release checklists and write bug reports. Answer clients, help users get started and bring their feedback back to the team. We provide a US phone number for testing.

How we work

You own quality for the products you test. You learn each product, decide what needs testing and when, plan your own work, ask your own questions and bring things to the finish. We give direction and priorities, not a task list. Small team, nobody will hold your hand.

Terms

Ten to twenty hours a week, more during releases. Start as soon as possible, long term. Remote, with overlap with the US East Coast working day. Fixed monthly pay in USD, contract with a US company.

Requirements

Fluent spoken and written English (C1 or above). Experience with manual testing of web and mobile or messaging products. Basic test automation skills. Clear and short writing. Your own Android phone with eSIM support.
 

Nice to have

Twilio or WhatsApp Business experience. Customer success or support experience in SaaS. Work under SOC 2.

In your application, in English
 

Where and with whom you used English at work. Which messaging or mobile product you tested and how you decided what to test. One example of your bug report. Your automation experience, if any. Hours per week you can give and your expected monthly pay.

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

Ми шукаємо Senior MLOps / GenAI Engineer  для співпраці напряму з клієнтом на проєкт з Індії. 

Продукт — це AI платформа, яка допомагає бізнесу автоматизувати процеси, ефективно працювати з великими обсягами даних і оптимізувати операційну діяльність.

Рішення охоплюють повний цикл розробки: від проєктування архітектури та створення моделей до їх інтеграції, розгортання й масштабування у production-середовищі. Основні напрями розробки — Generative AI, автономні AI-агенти та мультиагентні системи (Agentic AI), AI-асистенти, Machine Learning, Data Engineering і Cloud Solutions. 

Продукти та технологічні рішення використовуються в різних галузях, зокрема Pharma & Healthcare, FMCG, Retail, E-commerce та Technology. Окрім індивідуальних проєктів для клієнтів, розробляються власні AI-платформи для автоматизації бізнес-процесів, аналітики, прогнозування та інтелектуального управління даними.

Компанія на ринку з 2022 року. Шукаємо MLOps / GenAI Engineer  для співпраці напряму з клієнтом.

Вимоги:

• 3+ роки досвіду як MLOps / GenAI Engineer
• Практичний досвід виведення ML-моделей у production
• Практичний досвід роботи з LLM-моделями та GenAI
• Розуміння повного циклу роботи з ML/LLM-моделями: від підготовки до розгортання та підтримки
• Досвід автоматизації ML-процесів
• Розуміння принципів масштабування та забезпечення стабільної роботи ML/AI-рішень
• Англійська Upper-Intermediate та вище

Буде плюсом:

• Досвід побудови production-ready GenAI-рішень
• Досвід автоматизації та оптимізації ML-процесів