TTMS

AI-native Full Stack Engineer

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SeniorZdalnieFull-time·B2B·Umowa o pracę

#385386·Dodano 4 miesiące temu·3

Źródło: TTMS

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Tech Stack / Keywords

AIPythonXMLSalesforcePower AppsPower BISnowflake Data Cloud Microservices

Firma i stanowisko

Transition Technologies MS S.A. ("TTMS") is a global IT company and part of the Transition Technologies Group, one of the largest IT firms in Poland, employing nearly 800 specialists across eight offices nationwide. TTMS supports large enterprises and global corporations by implementing and maintaining dedicated IT systems and automating business processes. The company is a partner of AEM, Salesforce, Microsoft, and others. TTMS carries out unique, complex, and innovative projects across various industries, providing end-to-end project solutions with a focus on environmentally friendly IT solutions. The company leverages advanced AI-driven solutions to support transformation of traditional processes into intelligent, automated operations, assisting in business process optimization (integration of Webcon + AI), low-code application development (Power Apps), and reporting (Power BI, Snowflake Data Cloud).

Wymagania

Strong proficiency in Python with hands-on engineering skills including clean API design and production-grade ML pipelines
Solid experience designing and deploying RAG-based systems and LLM-powered applications, including retrieval tuning, chunking strategies, embedding selection, and response evaluation using frameworks like LangChain or Semantic Kernel
Practical knowledge of OpenAI, Azure OpenAI, and Amazon Bedrock APIs with ability to evaluate and route across models based on cost, latency, and task requirements
Experience architecting multi-cloud AI solutions with emphasis on Azure services (Azure ML, Azure AI Foundry, ADF) and familiarity with AWS equivalents
Hands-on experience running and orchestrating self-hosted LLMs including model selection, quantization, serving (e.g., NVIDIA Triton, BentoML, vLLM), and lifecycle management in GPU-accelerated environments
Familiarity with Transformer architectures including attention mechanisms, fine-tuning strategies, ViT/BERT variants with practical knowledge for production deployments
Experience building production-ready AI applications using AI templates and scaffolding patterns such as LLM app templates, prompt management, and LLMOps tools like ZenML, MLflow, or ArgoCD
Backend development experience with FastAPI, Django, or Flask, including async patterns and microservice architecture integration
Solid grasp of Docker and container orchestration tools (Kubernetes, Docker Compose) for reproducible deployments

Obowiązki

Design, implement, and continuously optimize production-grade AI applications powered by LLMs with focus on accuracy, latency, and cost efficiency
Architect and orchestrate end-to-end RAG pipelines including document ingestion, chunking strategies, retrieval tuning, and response evaluation using frameworks such as LangChain, LlamaIndex, or DSPy
Build robust, high-performance APIs and microservices using FastAPI, Django, or Flask following REST and async best practices
Collaborate with backend and platform teams to integrate AI services into scalable, cloud-native architectures on Azure
Own reliability, observability, and performance of AI services in production through monitoring, alerting, and iterative improvements
Write clean, modular, and well-tested code emphasizing reusability and maintainability, contributing to internal standards and documentation
Design and manage containerized deployments using Docker and orchestration tools like Kubernetes and Docker Compose
Drive technical discussions, architectural decisions, and code reviews
Evaluate and integrate emerging AI tooling, models, and techniques

Benefity

Participation in interesting and demanding projects
Flexible working hours
A great, non-corporate atmosphere
Stable employment conditions (contract of employment or B2B contract)
Opportunities for development and promotion
Attractive package of benefits
Work model: remote or hybrid (2 days per week from office)

Elastyczne godziny

Inne informacje

We reserve the right to contact the selected candidates.

TTMS

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