Jobs ML / AI

You will be a player in the AI-Data Delivery Pod, contributing to enterprise solutions that turn complex domain documentation into machine-usable intelligence. The focus is on building “Self-Evolving Knowledge Bases” that power intelligent assistants and decision-support systems. You will operate within a high-speed delivery environment where the synergy between human expertise and agentic execution is the primary driver of success, all integrated within the client’s existing Azure infrastructure.

We are looking for a Trainee AI / ML Engineer (Generative AI) to join our AI & Data practice. This role is designed for an early-career, AI-native engineer who is comfortable using modern GenAI tools and wants to grow on real projects under the guidance of senior ML / AI experts.

You will help rapidly prototype ideas, build small PoCs, and experiment with solutions based on large language models (LLMs) and other generative AI techniques. Your focus will be to implement well-defined tasks, run experiments, and use GenAI tools to speed up coding, analysis, and documentation – while learning how to do this safely and reliably in production-oriented environments.

Requirements

• Some experience in software development, data science, or ML (commercial experience, internships, or strong personal projects).
• Solid basic skills in Python and core data/ML libraries (e.g., NumPy, pandas, Scikit-learn).
• Understanding of fundamental ML concepts (datasets, train/validation split, basic metrics, overfitting).
• Practical familiarity with generative AI / LLMs:
   – regular use of tools like ChatGPT, Copilot or similar for coding and data tasks;
   – basic understanding of prompts, context windows, and common limitations (hallucinations, privacy, bias).
• High motivation to learn, ask questions, and accept feedback.
• Organized and responsible: able to follow a spec, document work, and meet agreed timelines.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• Course work, pet projects, or a thesis related to ML, NLP, or Generative AI.
• Basic exposure to RAG, embeddings, or vector databases (from articles, courses, or small experiments).
• Familiarity with at least one cloud platform (Azure, AWS, or GCP) from labs or online courses.
• Experience with Jupyter notebooks, Git, and simple CI/CD or MLOps tools (even at a “student project” level).
• Participation in hackathons, Kaggle competitions, or open-source projects.

Responsibilities: 

• Rapidly prototype and iterate on ML / GenAI ideas in notebooks and scripts, turning high-level concepts into small PoCs and demo flows.
• Implement well-defined tasks in Python (data preprocessing, basic model training, evaluation scripts, and utility functions) as part of prototypes and production-oriented components.
• Assist in experiments with LLMs and GenAI APIs (prompt variants, small workflows, simple RAG setups) under the guidance of senior engineers, proactively suggesting new options and documenting what works and what doesn’t.
• Use GenAI tools to support your daily work (coding, tests, documentation, exploratory analysis) and capture key findings in a clear, structured way.
• Prepare and clean datasets, run experiments, and summarize results in concise formats (tables, short reports, simple dashboards).
• Help build and maintain demo environments and internal PoCs for ML / GenAI use cases, keeping them reproducible and easy to reuse.
• Follow coding standards, version control practices, and basic quality processes (code reviews, simple tests, logging).
• Actively learn from senior team members, ask questions, and gradually take ownership of small components within larger solutions.

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Project Overview
The project focuses on building a production-ready enterprise AI chatbot on SAP BTP Kyma, leveraging modern AI and backend technologies such as SAP Joule, Node.js/TypeScript, NestJS, mastra AI, OpenSearch, and SAP HANA.

The platform emphasizes AI architecture, reliability, and scalability, enabling advanced RAG pipelines, agent-based capabilities, and secure enterprise integrations. Strong engineering practices, observability, and AI quality evaluation are key success factors.


Role Responsibilities
As an AI Developer, the consultant will:

• Design and implement agentic AI capabilities, including tool/function calling, planning, memory/state handling, safety guardrails, and failure recovery
• Build and optimize advanced RAG pipelines on OpenSearch (hybrid retrieval, embeddings, rerankers, query rewriting, retrieval evaluation)
• Develop and maintain API and MCP integrations, including MCP servers/clients, capability manifests, and clean, versioned REST/WebSocket APIs
• Create and iterate prompt strategies, including tool-aware prompting, structured outputs (JSON), and prompt governance
• Establish AI quality evaluation and testing, using tools such as RAGAS and/or DeepEval, including regression testing and red-teaming
• Implement secure and performant data access with SAP HANA using TypeORM
• Ensure observability and performance monitoring using Dynatrace (latency, cost, quality, SLIs/SLOs)
• Build and maintain CI/CD pipelines for Kyma/Kubernetes environments

Collaborate closely with product and architecture teams, document designs, and participate in technical reviews

Mandatory Skills and Experience — MUST HAVE !!!

• Proven production AI adoption, including agentic or advanced RAG solutions with measurable impact
• Strong experience with advanced RAG on OpenSearch (vector and hybrid search, indexing strategies, retrieval evaluation)
• Experience with agent frameworks and patterns (multi-step planning, tool integration, memory/state, guardrails)
• Hands-on experience with AI evaluation and testing (RAGAS, DeepEval, or similar)
• Strong Node.js and TypeScript skills; solid API engineering (REST/WebSockets, OpenAPI, versioning)
• NestJS experience in enterprise-grade services
• Experience with MCP integrations in production or strong evidence of rapid ramp-up capability
• Strong experience with SAP HANA and TypeORM
• CI/CD experience for containerized applications on Kyma/Kubernetes
• Dynatrace experience for observability and performance monitoring
• Security-first mindset (OAuth2/OIDC, JWT, RBAC, secure secrets handling)
• Ability to learn quickly and work within complex enterprise architectures
• Fluent English
  
  
  Nice to Have
• SAP ecosystem knowledge; SAP Joule experience is a plus
• Experience with mastra AI or similar AI orchestration frameworks
• Advanced prompt engineering skills and prompt governance workflows
• Experience integrating AI into web frontends (streaming responses, SSE, rate/cost controls)
• Experience with multiple LLM providers and routing strategies
• Knowledge of data privacy and compliance (e.g. GDPR-aware AI design)

Project Details
Start: ASAP
Duration: Until 31.10.2026 (extensions possible)
Estimated Effort: 960 hours
Location: Fully remote
Language: English
Candidate Location: EU

We are looking for a Senior Copilot Studio AI Developer to design, build, and optimize AI agents using Microsoft Copilot Studio for enterprise clients.

You will work on intelligent automation solutions where AI agents support internal operations, customer service, document handling, workflow execution, and business productivity improvements.

Responsibilities

• Design and develop AI agents in Copilot Studio
• Configure prompts, conversation flows, logic, actions, and agent behaviors
• Integrate agents with enterprise data sources, APIs, Microsoft ecosystem tools, and workflows
• Build automations using Power Platform components
• Test, monitor, and optimize agent performance and response quality
• Improve usability, reliability, and business efficiency of AI solutions
• Work with stakeholders to translate business needs into AI assistants

Requirements

• 4+ years of commercial experience in software / automation / AI solutions
• Hands-on experience with Microsoft Copilot Studio
• Strong knowledge of Power Platform (Power Automate, Power Apps is a plus)
• Experience with conversational AI / LLM-based systems
• Understanding of prompts, orchestration logic, integrations, and workflows
• Good spoken and written English
• Strong communication skills in client-facing environments

Nice to Have

• Experience with Azure ecosystem
• Knowledge of enterprise automation processes
• Experience integrating CRM / ERP / document systems
• Prompt engineering experience

Conditions

• Duration: 6+ months
• Remote

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 ML & AI Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas:
• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have:

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

  - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques.

  - Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
• Collaborator & Communicator: You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (60 min).

About the role

At RubyLabs, we’re seeking a senior AI Engineer (Node.js / Next.js / TypeScript) to shape our AI infrastructure and drive production-ready LLM experiences. You’ll work in a modern stack, making data-driven decisions around model performance, reliability, and cost.

You’ll own advanced prompt systems, structured outputs, and complex LLM workflows using LangChain or LlamaIndex. Observability, debugging, and evaluation are core to the role, leveraging Langfuse and AI gateways like OpenRouter to continuously improve model quality and operational efficiency. You’ll take full ownership of key AI features from experimentation to live production.

Key Responsibilities

• Advanced Prompt Engineering: Designing complex, dynamic prompt templates with conditional logic and efficiently reusing information and context within prompts to maximize generation quality and reasoning.
• Structured Outputs & Schemas: Implementing various response schemes (JSON mode, function calling, Zod/JSON schemas) to ensure AI outputs are predictable and ready for seamless integration into application logic.
• Prompt Engineering & Evaluations: Building robust evaluation pipelines and using Langfuse to collect feedback and score the quality of responses in real time.
• Tracing & Debugging: Performing deep debugging of complex LLM chains using Langfuse traces to identify bottlenecks and optimize for cost, latency, and context window usage.
• AI A/B Testing: Running systematic experiments across different models via OpenRouter (e.g., comparing Claude 3.5 Sonnet vs. GPT-4o) and analyzing results based on quantitative metrics.
• Data-Driven Decisions: Making deployment decisions for new prompts or models strictly based on quantitative benchmarks and trace data, rather than intuition.
• Output Scoring & Analysis: Developing scoring systems to analyze the “Problem → Solution” chain and identify root causes of hallucinations or logic errors using Langfuse analytics.
• Model Performance & Fine-Tuning: Regularly re-evaluating model performance as new architectures emerge and performing fine-tuning when necessary to meet specific domain requirements.

Qualifications

• Node.js & Next.js: Deep knowledge of the stack to build reliable services and handle complex LLM-generated data.
• Dynamic Prompting Skills: Proven experience in building prompts where content is highly dependent on input variables and context injection.
• OpenRouter Experience: Experience working with unified APIs, managing rate limits, and selecting the most cost-effective models for specific tasks.
• Langfuse (or similar): Understanding of LLM observability principles — setting up tracing, creating test datasets, and integrating scoring systems.
• Evaluation Methodology: Experience with frameworks like RAGAS or building custom “LLM-as-a-judge” systems.
• Analytical Mindset: Ability to transform raw generation logs into actionable business metrics and technical insights.
• Iterative Mindset: Focus on continuous product improvement through constant feedback loops.

Nice to have

• Fine-Tuning: Practical experience in fine-tuning models for specific domain tasks or JSON compliance.
• RAG Architecture: Understanding how to build and optimize Retrieval-Augmented Generation systems, including indexing, retrieval, and re-ranking.
• Python: Basic knowledge for working with data science scripts or AI evaluation libraries.

Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits

Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process

After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Final Interview (30 minutes)

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a privileged opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU.

If you’re ready to join a dynamic team working towards a common vision of a safer digital world, we invite you to be a part of our journey. Shape the future with us and help defend against online threats with purpose and innovation!
 

Role Overview

We’re looking for a Senior AI Engineer with a solid engineering background and hands-on AI experience. In this role, you will help design and implement innovative AI-powered solutions that are core to our platform’s mission. You’ll work across the stack to build and integrate AI capabilities that are both scalable and practical.

You won’t need to build everything from scratch, but you’ll need the skills to fine-tune, adapt, and creatively apply state-of-the-art models and tools to solve real-world problems. Your responsibilities will range from working on backend services to shaping AI agents and LLM-based pipelines for production use.
 

Key Responsibilities

• Understand business challenges and generate innovative ideas to address them using AI and machine learning.
• Research, evaluate, and adapt existing deep learning and machine learning models for practical applications.
• Develop cost-efficient, scalable AI solutions.
• Develop and maintain services for data enrichment using LLMs.
• Design and build AI agentic systems for dynamic use cases.
• Monitor industry advancements and identify opportunities to leverage the latest tools and techniques.

Requirements

Engineering Skills:

• Strong Python skills.
• Experience with FastAPI, Docker, and asynchronous programming.
• Good knowledge of DBs, including PostgreSQL, Elasticsearch, and Vector DBs.

AI Skills:

• At least 3+ years of hands-on experience in AI/ML, with a focus on LLM-based systems.
• Proven experience building RAG systems in production.
• Experience designing and implementing agentic systems.
• Strong understanding of transformer architectures.
• Practical experience with prompt engineering.
• Knowledge of LLM infrastructure and deployment.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of evaluation methodologies for LLM outputs

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in addressing information threats and tackling security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

Start date: ASAP

What you’ll do

• Provide technical leadership for AI projects, guiding teams through the treatment of structured and unstructured data for AI processing.
• Oversee backend development (primarily .NET) and ensure solutions meet performance and scalability requirements on Azure.
• Collaborate with product owners and stakeholders to define scope, deliverables and timelines for AI initiatives.
• Mentor team members, fostering a proactive and autonomous culture and ensuring clear communication across disciplines.
• Drive continuous improvement and adopt best practices in AI development; optionally support front‑end integration (React) and SharePoint Online interoperability.

Requirements

• Proven experience leading AI/ML projects from inception to deployment, including data preparation and model operationalisation.
• Strong backend development skills with .NET and familiarity with Azure services.
• Excellent communication, leadership and organisational skills; ability to work autonomously.
• Nice to have: experience with front‑end development (React) and SharePoint Online integration.

We offer

• Leadership role with significant influence over AI strategy and roadmap.
• Opportunity to shape a growing team and work with state‑of‑the‑art AI technologies.
• Remote‑friendly environment with flexible schedule and competitive compensation.

Start date: ASAP

What you’ll do

• Design, develop and maintain cloud‑native full‑stack applications with an emphasis on performance, scalability and security.
• Build responsive front‑end interfaces using React, Angular or Vue; integrate back‑end services via RESTful APIs and serverless architectures.
• Collaborate with architects and business analysts to translate business requirements into robust technical solutions.
• Research and prototype new technologies, including Generative AI models, and integrate AI‑driven features such as chatbots, predictive analytics and intelligent content generation.
• Produce technical documentation, support presales/marketing efforts and seek opportunities for optimization and automation while adhering to best practices.

Requirements

• 4+ years’ experience with .NET 6+ and cloud platforms (preferably Microsoft Azure); solid understanding of RESTful API design and OpenAPI.
• Proficiency with both SQL and NoSQL databases; experience with integration and event‑driven architectures.
• Familiarity with front‑end frameworks (React, Angular or Vue) and Agile methodologies (Scrum).
• Nice to have: practical experience with Generative AI models (GPT, DALL‑E) and AI frameworks (PromptFlow, TensorFlow, PyTorch, Azure Cognitive Services); ability to integrate AI functionality (chatbots, personalised content) into web apps.
• Comfortable working independently, proactively and communicating with stakeholders.

We offer

• A chance to work on innovative AI‑powered cloud applications.
• Flexible work arrangements with supportive team and opportunities to experiment with cutting‑edge AI technologies.
• Competitive salary, paid vacation and professional development budget.

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

Basic Qualifications:
 

• 1+ years of any professional software development experience
• Experience programming with at least one software programming language
• Practical experience using AI tools in day-to-day software development workflows
• Ability to leverage AI for code generation, debugging, refactoring, test creation, documentation, and technical research
• Experience using AI to accelerate development and prototyping processes
• Understanding of best practices for AI-assisted development workflows
• Ability to contribute to establishing and improving team-wide AI usage standards and processes
   

Preferred:
- Bachelor's degree in computer science or equivalent

Responsibilities:

• Develop and maintain interactive frontend web components using React
• Integrate LLM APIs (e.g., OpenAI, Anthropic) to process and generate consumer data
• Interact with vector databases to support Retrieval-Augmented Generation (RAG) capabilities
• Build LLM-powered utilities to extract structured data from unstructured documents
• Create backend API endpoints to handle file uploads, AI workflows, and multi-tenant state
   

Write and maintain unit tests to ensure application stability and reliable AI outputs
 

About the Project

We are building a first-of-its-kind AI-Driven Integration Platform that fundamentally changes how enterprise systems connect. Instead of spending weeks manually coding data pipelines and hunting through messy documentation, our platform uses Large Language Models (LLMs) and Agentic AI to automatically generate production-ready code directly from meeting notes, emails and other documents.
 

What you will help build:

• The Brain: An AI knowledge hub that deeply understands complex APIs and business rules.
• The Sandbox: A web-based IDE where architects and developers collaborate with AI to instantly draft and test data pipelines.
• The Engine: A fleet of AI agents that automatically updates integration code in real-time as customer requirements change.
   

This isn’t just another internal tool - it’s a "CI/CD pipeline for business requirements." If you want to apply generative AI to solve massive engineering bottlenecks and shape the future of software delivery, we want you on our team.

About the role

We are looking for an AI Agent Engineer to join us on a long-term basis and help build, configure, and support AI-driven automation systems.

You will work with an enterprise AI orchestration platform (Airia, onboarding provided), configuring AI agents, integrating them with HubSpot and other tools, and extending the platform with custom scripts when needed.

This is not a classic full-stack development role. Most of your work will focus on:

• building and configuring AI agents
• connecting different systems together
• creating integrations and automations
• writing small custom scripts for edge cases

You’ll work closely with our team and receive architecture guidance and code reviews when needed.

Responsibilities

• Build AI agents for lead qualification, research, lead scoring, and reporting
• Integrate the orchestration platform with HubSpot via MCP
• Configure HubSpot pipelines, lifecycle stages, workflows, and automations
• Integrate outbound tools such as Apollo, A-Leads, Instantly, Smartlead, Outreach, Mailchimp, or Intercom
• Set up field mapping, contact sync, workflow triggers, and bidirectional data sync
• Build integrations with external systems (CRM, ERP, communication tools)
• Write custom scripts and data transformations in Python or JavaScript/TypeScript
• Handle APIs, webhooks, OAuth, rate limits, retries, and error handling

• Prepare SOPs, documentation, and support go-live/testing
   

  Requirements

• 2+ years of experience building AI agents, LLM workflows, or automation pipelines
• Experience with one or more platforms: LangChain, LangGraph, n8n, CrewAI, AutoGen, Make, Zapier AI, Relevance AI, Vellum, or similar
• Experience with MCP, tool calling, or similar integrations between AI agents and external systems
• Hands-on experience with HubSpot CRM (pipelines, workflows, API integrations, webhooks, field mapping)
• Experience integrating CRM systems with outbound or lead generation tools
• Good understanding of REST APIs, OAuth, webhooks, rate limits, and error handling
• Ability to write custom integration logic in Python or JavaScript/TypeScript

• Strong written English and ability to work independently

   

  Nice to have

• Experience with Airia or multi-agent systems
• Knowledge of GDPR, HIPAA, ISO 42001, EU AI Act, or NIST AI RMF

• Background in an AI agency, MSP, or integration company

   

  Tech Stack

• AI orchestration: Airia, LangChain, LangGraph, n8n, CrewAI
• CRM: HubSpot or similar CRM platforms such as Salesforce, Pipedrive, Zoho CRM, Microsoft Dynamics 365, HighLevel
• Integrations: Apollo.io, Instantly, Smartlead, Outreach, Mailchimp, Intercom
• Languages: Python, JavaScript, TypeScript

• APIs & Infrastructure: REST API, MCP, OAuth, Webhooks

   

  We offer

• Long-term cooperation
• Flexible workload
• Direct impact on technical decisions
• Work on real AI products and client integrations
• Support and mentorship from senior engineers

We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize
advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic
workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features
from concept to production.

Responsibilities:

 ● Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning
systems.
 ● Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex,
Haystack, and DSPy.
 ● Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and
decision support.
 ● Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector
search workflows.
 ● Collaborate with Python Developers to define service interfaces, APIs, and operational
requirements.
 ● Implement task decomposition, memory management, and tool-use strategies within agentic
systems.
 ● Monitor AI system performance, operational risks, and prompt evaluation metrics.
 ● Stay current with emerging AI frameworks, architectures, and best practices in AI observability and
evaluation.
 

Requirements:

●Strong Python development skills with an emphasis on clean, scalable, and modular code.
● Hands-on experience working with LLMs and agent frameworks.
● Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late
interaction), and system design.
● Experience building multi-step agentic workflows and reasoning systems.
● Familiarity with AI performance metrics, model drift detection, and operational monitoring.
● Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
● Experience with DSPy or other prompt optimization tools is a plus.
● A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.

● Bachelor’s degree in Computer Science or equivalent - preferred.

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.

At PwC, we work together to help clients make informed decisions, operate efficiently, and shape the future. Join our consulting team specializing in Generative AI as an AI Engineer. Our Technology Advisory team drives innovative projects every day, guiding companies through major technological changes. Current projects include applying large language models and generative AI in finance and energy sectors, as well as improving internal efficiency and accelerating workflows with AI tools.

What You’ll Do:

• Design and develop AI solutions using Large Language Models (LLMs), including advanced techniques like Retrieval-Augmented Generation (RAG) and multi-agent systems.
• Turn ideas into working prototypes and lead Proof of Concept (PoC) projects from planning to delivery.
• Apply the latest AI research to real-world challenges in industries like finance and energy.
• Collaborate with diverse teams to identify new use cases and deliver impactful solutions.

What We’re Looking For:

• 4+ years in software development, with at least 2 year in AI systems (RAG or agent-based).
• Strong Python knowledge, familiarity with databases (especially vector databases), and understanding of AI ecosystems.
• Basic knowledge and use of multi-agent systems, guardrail solutions, and orchestration frameworks (e.g., LangGraph).
• Proactive, solution-oriented, and able to work independently as well as in a team.
• Upper-intermediate English proficiency.

What We Offer:

• Work with leading experts on innovative projects that matter.
• Rapid career growth and continuous learning opportunities.
• Flexible schedule, hybrid work options, and a supportive environment.
• Competitive salary, annual bonus, and benefits including private healthcare, wellness programs, and home office allowance.
• A vibrant community with team-building events and a modern office in a prime location.

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

The product company is looking for a AI/ML Engineer in Warsaw.

The company is a successful market leader, a live-streaming Platform with 450+ Million registered users.
Their B2C mobile platform allows millions of talented people worldwide to connect with their fans and monetize their talents.
The company was founded in 2018 in the USA and is powered by 350+ global employees.

They offer: options, medical insurance (100% for employees and 75% for family members), lunch in the office, parking, multisport card.

Requirements: experience in an ML role and with LLMs (prompt engineering, RAG architectures, LLM integration).