Jobs ML / AI Engineer

Description

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for engineer to implement the AI architecture, including RAG pipelines, agent systems, tool-calling mechanisms (MCP-style architectures), model evaluation, and guardrails.
This role requires real production GenAI experience, not experimentation.

Requirements

• 4+ years of software engineering experience
• 2+ years of hands-on ML / AI engineering experience
• Strong Python (mandatory)
• Proven production experience with LLM systems
• Deep understanding of:

– RAG architecture

– Embeddings

– Chunking strategies

– Retrieval optimization

• Experience with AWS Bedrock
• Experience designing tool-calling LLM systems (MCP or equivalent architecture)
• Experience integrating external APIs as agent tools
• Experience building REST services (FastAPI or similar)
• Experience with vector databases (OpenSearch, Pinecone, etc.)
• Experience implementing evaluation frameworks for LLM quality
• Experience mitigating hallucinations and prompt instability
• Strong understanding of:

– Token economics

– Context window constraints

– Cost-performance tradeoffs

• Experience integrating with GitHub and JIRA APIs
• Production experience beyond notebooks or PoCs

Job responsibilities

• Implement RAG pipelines on AWS Bedrock
• Implement knowledge ingestion pipelines (JIRA, GitHub, Confluence, S3)
• Define chunking, embedding, and retrieval strategies
• Implement vector storage and retrieval architecture
• Architect tool-calling agent systems (MCP or equivalent)
• Define when to use:
• – Direct API invocation
• – Lambda-based tools
• – MCP-based tool integration
• – Design and implement structured output agents
• Implement hallucination mitigation strategies
• Build evaluation pipelines for model quality and regression testing
• Optimize token usage and latency
• Implement guardrails and structured validation
• Work closely with DevOps to productionize AI services

COMPANY
Atlas Technica is a fast-growing US-based MSP working with hedge funds and investment firms.
Founded in New York in 2016, the company has grown to 200+ engineers across 10+ countries (US, UK, Ukraine, Hong Kong, Singapore).
Atlas Technica combines product-level engineering standards with a strong service culture, partnering directly with top-tier investment firms on their digital transformation and automation initiatives.

We are seeking an AI Engineering professional to join our DevOps team. The goal of this role is to design and deploy intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services. Build data pipelines and fine-tune NLP models with Azure ML. Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements and collaborate across teams.

Location/Type: Remote
Hours: 10 AM-7 PM UA

Hiring process: 2 interviews
 

Responsibilities

AI Agent & Chatbot Development
• Design, build, and deploy intelligent conversational agents using Azure Bot Framework, Azure OpenAI, and Cognitive Services.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate the business value of AI-driven solutions.

Data & Model Engineering
• Build and maintain robust data pipelines to support training and inference workflows.
• Configure, train, and fine-tune machine learning models using Azure Machine Learning, with a focus on NLP and LLMs.
• Evaluate and optimise AI system performance for accuracy, scalability, latency, and cost-efficiency.

System Integration & Architecture
• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise Manage, Confluence, etc) using RESTful APIs.

Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.
• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

Research & Innovation
• Stay current with evolving LLM technologies, frameworks and methodologies.
• Evaluate emerging tools and techniques to improve solution quality and delivery speed continuously.

Collaboration & Leadership
• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

Requirements:

• English level — B2 or higher
• 4+ years of experience in ASP.NET software development (Core/WebAPI, C#, React/React.js), with a focus on AI engineering and Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Advanced expertise in machine learning, deep learning, and NLP, including pipelines, model fine-tuning, embeddings, and transformer-based architectures.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini), as well as practical experience with Retrieval-Augmented Generation (RAG) and optimising retrieval pipelines.
• Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework) and knowledge of MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

Desirable Qualities

• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure Cosmos DB.
• AI-102
• Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage, Confluence, SPO, etc.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

Role Overview

We are seeking an experienced Enterprise AI Architect Consultant to support a large-scale digital transformation initiative within the Consumer Packaged Goods industry. This expert will be responsible for designing foundational AI architecture, establishing security and governance frameworks, and shaping strategies for both commercial and agentic AI adoption.
The ideal professional will bring deep technical expertise, strong business acumen, and the ability to rapidly deliver high-impact, enterprise-ready AI solutions.

Key Responsibilities

1. AI Foundation & Technical Architecture

• Design and document scalable, secure, and well-governed AI architecture in collaboration with enterprise architecture teams.
• Recommend an optimal technology stack encompassing foundation models (LLMs), orchestration frameworks, ML platforms, and MLOps/LLMOps tools.
• Develop data integration blueprints for real-time ingestion, processing, and vector database management.

1. AI Cybersecurity, Risk & Governance

• Implement AI-specific cybersecurity protocols, including DLP controls, prompt injection mitigation, and secure API management.
• Define and operationalize AI Governance frameworks addressing ethical AI, bias mitigation, and data privacy (GDPR, CCPA).
• Architect monitoring and compliance systems for model performance, drift detection, and risk management.

1. Agentic AI Center of Practice (CoP)

• Develop a roadmap for establishing an Agentic AI Center of Practice to standardize multi-agent systems.
• Produce reference architectures, development playbooks, and operational standards for autonomous AI agent frameworks.
• Drive knowledge transfer, mentoring internal teams and ensuring sustainable AI capability post-engagement.

1. Commercial AI & Revenue Enablement

• Create technical strategies for AI-driven commercial initiatives such as personalized marketing, dynamic pricing, and virtual commerce assistants.
• Identify, prioritize, and design high-impact AI use cases across supply chain, retail execution, and customer engagement.
• Deliver actionable implementation plans to accelerate AI pilot deployment and business value realization.

Qualifications & Experience

Technical Expertise:

• 10+ years in enterprise or solution architecture with proven consulting experience.
• 2–3+ years specializing in AI/ML, Generative AI, and LLM orchestration within cloud environments (AWS, Azure, GCP).
• Practical experience with agentic AI frameworks and vector databases.
• Strong grounding in InfoSec, zero-trust principles, and enterprise data management.
• Hands-on experience with Databricks and Microsoft AI platforms (Fabric, Azure OpenAI, Copilot Studio).

Consulting & Business Skills:

• Proven ability to operate at a senior advisory level, delivering architectural assessments and strategic AI roadmaps.
• Pragmatic focus on linking AI architecture to measurable business outcomes and operational efficiencies.
• Experience collaborating with cross-functional enterprise teams to align technical initiatives with broader transformation goals.

About Us 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems. 

We’re building an AI-native CRM platform that completely redefines how sales automation works. 
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface. 

Our mission: to build a CRM that works for User, not the other way around. 

About the Role 

This role is for engineers who thrive in dynamic environments, where processes are still being shaped and impact is immediate. 

At ChatRevenue, we focus on goals rather than ceremonies – no endless grooming sessions or heavy planning rituals. Decisions are made quickly through open dialogue and collaboration, not through layers of approvals. 

Previous startup experience is not required – what matters is curiosity, independence, and drive. As part of the core team, you’ll have the chance to own technical domains, lead innovation, and grow together with the company. 

What You’ll Do 

• Design, deploy, and maintain GenAI/RAG pipelines for production 
• Integrate LLMs and agentic assistants into business flows 
• Source, ingest, clean, and enrich external data streams 
• Build and manage vector search, embedding stores, and knowledge graphs 
• Explore and implement new ML/GenAI frameworks and multi-agent systems 
• Mentor developers and share knowledge across the team 

What We’re Looking For 

• Strong backend skills: Python, FastAPI, Webhooks, Docker, Kubernetes, Git, CI/CD 
• Hands-on experience with LLMs (OpenAI-family), LangChain/LangGraph/LangSmith, prompt engineering, RAG, vector stores (Azure AI Search, Pinecone, Neo4j, FAISS) 
• SQL, Pandas, Graph DBs (Neo4j), NetworkX, ETL/data cleaning, Kafka/Azure EventHub 
• Proven experience running RAG pipelines in production 
• Familiarity with graph algorithms (community detection, similarity, centrality) 
• Good English for documentation, API design, and teamwork 
• Startup drive, proactivity, independence 
• Willingness to relocate or travel within Europe; full-time availability 

Nice to have 

• Multi-agent LLM frameworks 
• Big Data pipelines in cloud (Azure preferred) 
• Production-grade ML/NLP, Graph ML 

Why Join Us 

• Remote-first culture – work from anywhere 
• Flexible schedule aligned with European time zone 
• Direct impact – your work is visible in the product from day one 
• Professional growth – own technical domains, lead innovation, scale with the company 
• Competitive compensation: $6000-9000 
• Core team – become one of the people who know the product best and shape its future 

If you want to be part of the core team building an AI-native CRM from scratch, we’d love to hear your story. 

Join Innoneers – Shaping the Future of Software Engineering!
 

At Innoneers, we don’t just build software; we engineer innovation. We are a dynamic software development company dedicated to transforming complex business challenges into seamless digital experiences. Specializing in Web, Mobile, and Cloud solutions, we pride ourselves on our technical agility and "Engineering Excellence" mindset.
 

As we scale our operations, we are looking for a passionate Embedded ML Engineer to join our core team. If you thrive in an environment where clean code meets cutting-edge technology (Node.js, React, AWS, Python) and want to make a tangible impact on global projects in E-commerce, Fintech, and Logistics, Innoneers is the place for you.
 

WE WILL TRUST YOU WITH:

• Lead the design and implementation of state-of-the-art machine learning algorithms

  tailored for both real-world hardware and software applications;

• Build and optimize embedded ML models using PyTorch and NumPy, bringing them

  to life in embedded systems with C and Python;

• Analyze, benchmark, and fine-tune embedded ML pipelines to achieve latency,

  memory efficiency, and power optimization;

• Pioneer explainable AI techniques that provide actionable insights into model

  behavior and drive trustworthy solutions for our customers and end-users;

• Expand our ML toolkit by researching and integrating the latest methodologies,

  staying at the forefront of AI innovation;

• Establish scalable, reproducible workflows that set a standard for excellence in

  embedded ML development;

• Partner with a multidisciplinary team of hardware engineers, data scientists, and

  software developers to deliver integrated software and hardware application use

  cases;

• Provide critical algorithm insights to hardware development teams to facilitate

  seamless integration and performance optimization;

• Support the integration of ML models with hardware AI accelerators and

  neuromorphic processors;

• Collaborate with internal teams and clients to identify and design requirements for

  complex customer use cases;

• Translate customer needs into technical specifications and actionable project plans;
• Present findings and insights to stakeholders to inform decision-making and strategy;

• Mentor junior engineers and interns, fostering a culture of continuous learning and

  technical excellence within the team;

• Contribute to the creation of intellectual property, including patents and proprietary

  know-how.

   

YOUR EXPERIENCE INCLUDES:

• A BSc or MSc in a subject related to ML/Data Science/Statistics or relevant industry

  experience;

• Solid understanding of architecture specifications, and the ability to design and

  develop industry-standard embedded software and methodologies;

• 5+ years of hands-on experience in the development and deployment of AI solutions;
• Previous experience in Embedded or TinyML AI application development;

• Proficiency in C/C++ for logical programming for embedded software development

  and Python for ML model development;

• Strong experience with TensorFlow/PyTorch and Scikit-learn;
• Familiarity with hardware AI accelerator architectures and neuromorphic processors;
• Experience working with time series data/sensor data/real-time data processing;

• Proficiency in using version control systems.

   

WHAT YOU NEED TO SUCCEED:

• Strong analytical and problem-solving abilities with great attention to detail;

• Excellent communication skills for effective collaboration with cross-functional team

  and stakeholders;

• A proactive and self-motivated attitude toward learning and innovation.

   

WE OFFER YOU:

• A dynamic working environment around a fearless engineering culture;
• Ambitious teams with the freedom to innovate;

• A Flexible working environment (work from home policy, flexible working hours,

  advantageous holidays scheme ..);

• An inclusive company culture that embraces communication, diversity, and support

  around holistic and personal development.

Our customer is a leading provider of product lifecycle management and digital thread solutions. Its technology enables the rapid delivery of flexible solutions built on a powerful digital thread backbone and a low-code development platform. You will be involved in building full scale AI-agentic platform from scratch.

Requirements:

• Strong proficiency in Python, experience with web frameworks like FastAPI or similar
• Understanding of the AI application development lifecycle
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
• Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills
• At least Upper Intermediate English level

Responsibilities:

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +)
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +)
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.

In this role, you will be a key contributor to the development and evolution of the Satori AI Platform, building next-generation conversational and agentic AI solutions for enterprise procurement and supplier ecosystems.

You will design, develop, and deploy intelligent chatbot solutions using Microsoft technologies, enabling seamless interactions across omnichannel platforms such as Microsoft Teams, web, and enterprise applications. The role involves leveraging NLP, machine learning, and agentic AI frameworks to create context-aware, scalable, and business-driven conversational experiences.

You will also collaborate closely with product, architecture, and integration teams to enhance platform capabilities, optimize existing solutions, and ensure high performance, security, and user experience.

Key Responsibilities
• Design and develop intelligent chatbots for the Satori AI Platform using Microsoft Bot Framework SDK and Azure Bot Services
• Build and manage conversational agents in Copilot Studio / Power Virtual Agents (Agents in Portal)
• Implement Omnichannel solutions across Microsoft Teams, web, and other enterprise channels
• Integrate chatbot solutions with enterprise systems such as SAP S/4HANA, SAP Ariba, ServiceNow, and other APIs
• Design and implement conversational flows using adaptive dialogs and orchestration frameworks
• Develop agentic AI workflows for enterprise use cases such as procurement automation, supplier queries, and compliance tracking
AI Capabilities
Natural Language Understanding (NLU)
Context and memory management
Multi-turn and goal-driven conversations
Retrieval-Augmented Generation (RAG)
• Work with modern Agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
• Collaborate with cross-functional teams including architects, UX designers, and backend developers
• Ensure chatbot solutions are scalable, secure, and enterprise-grade
• Monitor, debug, and continuously optimize chatbot performance using telemetry and analytics tools

Qualifications
• Strong experience in chatbot development using Microsoft Bot Framework SDK and Azure Bot Services
• Hands-on experience with Copilot Studio / Power Virtual Agents (Agents in Portal)
• Good understanding of Omnichannel solutions and integrations

Technical Skills
• Strong programming skills in C#, Python, or JavaScript (Node.js)
• Solid understanding of Natural Language Processing (NLP) and tools such as LUIS or equivalent services
• Experience with machine learning concepts and conversational AI design
• Exposure to Agentic AI frameworks and modern AI architectures (preferred)


Additional Skills
• Experience integrating with enterprise platforms (SAP, - ServiceNow, REST APIs, databases)
• Knowledge of cloud platforms (Azure required; AWS exposure is a plus)
• Strong problem-solving and analytical thinking
• Ability to work in a collaborative, fast-paced environment

Education
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.

The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

The project aims to provide well-prepared and formatted analytic data for the customer.

Responsibilities: 

Own the architecture and delivery of LLM-powered chatbot solution for enterprise financial platform. Responsible for orchestration logic, prompt engineering strategy, model governance and technical leadership across AI components.

• Define LLM orchestration architecture (single-agent pattern)
• Design prompt engineering strategy and system prompting
• Define model behavior guardrails and safety controls
• Lead golden dataset validation strategy
• Own AI risk mitigation (hallucination control, determinism limits)
• Collaborate with BE/FE/DevOps on integration
• Technical leadership & code review for AI components

Requirements: 

• 5+ years in AI or ML engineering
• Strong hands-on with LLM APIs Azure AI Foundry
• Prompt engineering in production systems
• Experience with RAG / structured API orchestration
• Understanding of AI governance & enterprise compliance
• Upper-Intermediate or higher level of English

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.

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.

About the role
We’re hiring a Senior AI Engineer to design, develop, and deploy enterprise AI solutions including Agentic AI, intelligent automation, and predictive analytics, aligned with governance/security frameworks and business objectives.

What you’ll do

• Build AI/ML models (classification, prediction, NLP, computer vision) and optimize for performance/cost 
• Build LLM-based solutions (chatbots, copilots, automation agents) 
• Design and implement multi-agent architectures, orchestration logic, decision flows, and human-in-the-loop controls 
• Own data prep, feature engineering pipelines, training/fine-tuning/evaluation, and model lifecycle/versioning 
• Integrate AI into enterprise systems via APIs/microservices, including real-time inference services 
• Implement responsible AI practices (bias control, explainability, auditability) and secure AI pipelines/APIs (auth/authz) 
• Monitor production performance, logging/alerting, drift, and optimize latency/scalability 

Must-have

• 5+ years AI/ML engineering; production deployments; enterprise-scale AI systems/APIs 
• Hands-on LLMs/NLP or Computer Vision 
• Strong Python ML stack (TensorFlow/PyTorch/Scikit-learn) 
• LLM ecosystem experience (Azure OpenAI / OpenAI / Gemini / HuggingFace), embeddings/vector DBs 
• Agentic/orchestration frameworks (LangChain / Semantic Kernel / AutoGen; multi-agent frameworks; tool use) 
• Azure AI Services/Azure ML/Databricks + Docker/Kubernetes; REST/microservices, event-driven, APIM 

Authority / constraints

• Owns AI architecture/model development standards and Agentic AI implementation approaches 
• Cannot deploy without security/governance approval; cannot use external AI services without compliance validation 

Nice-to-have certs

• AI-102 preferred; DP-100 recommended

Responsibilities

• Refactor a single-agent prototype into a multi-agent architecture (orchestrator + specialized agents).
• Design orchestration logic, agent communication, and state/session management.
• Implement guardrails (prompt-injection protection, output validation).
• Integrate external APIs with resilient error handling.
• Optimize performance and latency (<2–4 seconds).
• Implement monitoring, telemetry, and observability for production systems.
• Collaborate with cross-functional teams to ensure robust API design and integration.

Job requirements

• Strong experience with LLM systems and multi-agent architectures.
• Proficient in Python, including FastAPI, async programming, and Pydantic.
• Experience with function calling and JSON schema outputs.
• Strong API design skills and integration experience.
• Experience in Azure environment: AI Foundry, Key Vault, Managed Identity, monitoring.
• Solid experience in system architecture and production deployment.
• English: conversational; German: A2 comprehension.

Nice to Have:

• MCP certification or relevant Azure certifications.

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

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.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join our dynamic AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to data analytics fraud detection systems.

Key Responsibilities:

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions;
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs);
• Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation;
• Develop web applications (FE / BE / cloud architecture) enabling users to interact with AI systems;
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle.

Requirements and skills:

• 2+ years of professional experience in this or similar area;
• Experience working on AI/ML projects, in areas such as Generative AI, NLP, Computer Vision or Machine Learning model development and deployment;
• University degree in Mathematics or a similar field is an advantage;
• Programming skills in Python (pandas, plotly, numpy);
• Experience with Full stack development (JavaScript) is a significant plus.
• Experience with SQL databases; familiarity with NoSQL is a plus;
• Experience with generative AI models is a plus;
• Fluent in English (level B2 or higher).

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