Senior Python Software Engineer (Senior AI Developer) / 1 at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI, Machine Learning, Generative AI, Large Language Models, NLP, Azure, CI/CD, MLOps, Cloud Architectures, Microservices, Prompt Engineering, Speech-to-Text, Text-to-Speech, Natural Language Understanding, Natural Language Generation

Industry

IT Services and IT Consulting

Description

Company Description Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all. Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas: Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions. Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs. Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow. Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs. With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market. Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique: Flexible and hybrid work: Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. Attractive financial benefits: A cafeteria system that allows employees to personalize benefits by choosing from a variety of options. Generous referral bonuses, offering up to PLN6,000 for referring specialists. Additional revenue sharing opportunities for initiating partnerships with new clients. Professional development and team support: Ongoing guidance from a dedicated Team Manager for each employee. Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs. Community and Well-Being: Dedicated team-building budget for online and on-site team events. Opportunities to participate in charitable initiatives and local sports programs. A supportive and inclusive work culture with an emphasis on diversity and mutual respect. Job Description We are seeking an experienced Senior Python Software Engineer (Senior AI Developer) to join our team, focusing on the exciting development of our Customer Care Platform. In this role, you will be a key player in designing, developing, and integrating cutting-edge AI/ML solutions, with a strong emphasis on Generative AI (GenAI) and Large Language Models (LLMs). You'll be instrumental in shaping the future of customer interactions through intelligent automation. Main tasks: Design, develop, and integrate AI/ML solutions, with a particular focus on Generative AI (GenAI), LLMs, and multi-modal (chat, voice) interfaces. Architect and deliver customer-facing AI agents that provide real-time, intelligent automation for support, marketing, or transactional use cases. Build and maintain multi-model pipelines for inference, fine-tuning, chunking, and embedding-based retrieval (RAG) systems. Deploy, monitor, and optimize AI models in production-grade environments using Kubernetes and Azure-native services. Integrate GenAI agents with cross-company APIs, backend services, and partner systems through MCP for dynamic tool use and data enrichment. Collaborate closely with DevOps engineers to implement scalable CI/CD pipelines, infrastructure-as-code, and secure AI workload automation. Evaluate and integrate open-source and proprietary LLMs, embeddings, and vector databases. Optimize prompt engineering strategies and implement orchestration tools (e.g., LangChain, MCP) to enable complex task execution. Build robust model evaluation frameworks, A/B testing environments, and experiment tracking for iterative development. Design privacy-first AI workflows that comply with GDPR, anonymization, and auditability (e.g., PII scrubbing, user consent). Guide the integration of Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Understanding/Generation (NLU/NLG) components into unified voice/chat interfaces. Mentor junior developers, shape internal best practices, and contribute to the GenAI technical roadmap. Qualifications Degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience. Several years of experience in AI and Machine Learning development, ideally within Customer Care solutions. Strong proficiency in Python and NLP frameworks. Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services). Solid understanding of cloud architectures and microservices on Azure. Experience with CI/CD pipelines and MLOps. Analytical mindset and strong problem-solving capabilities. Additional Information This position offers the possibility of hybrid or remote work for candidates located in Poland. This role requires readiness for on-call duty.

Responsibilities

Design and develop AI/ML solutions focusing on Generative AI and Large Language Models. Collaborate with DevOps engineers to implement scalable CI/CD pipelines and optimize AI models in production environments.