Solution Engineer (AI & Big Data)

21k - 33k PLN21 000 - 33 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#460699·Dodano 6 dni temu·5

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data scienceAIPythonCloudGenAI LLM Machine LearningData engineeringBig dataPre-salesPresales

Podsumowanie oferty

The Solution Engineer will advise clients during pre-sales and early engagement, aligning AI/ML, LLM applications, and cloud data platforms with their business goals. The role works with sales, delivery, and engineering teams to shape solutions and support their transition to implementation.

Wymagania

Undergraduate degree or higher in Computer Science, Data Science, Engineering, or a related field, or equivalent hands-on experience.
Proven experience in technical roles, such as exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.
Foundational understanding of public cloud platforms (AWS, Azure, GCP) and experience deploying cloud-based AI solutions and/or modern data platform architectures.
Ability to work across multiple clients and projects in parallel, with strong organizational and time management skills.
Foundational understanding of AI/ML workflows, from data preprocessing and model training to evaluation and deployment.
Familiarity with LLM applications, including embeddings, vector databases, and orchestration frameworks such as LangChain or LlamaIndex.
Working knowledge of MLOps and orchestration tools such as MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
Proficiency in Python and experience with pandas, scikit-learn, PyTorch, or TensorFlow.
Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services such as Azure Data Factory, Azure Synapse, or Databricks.
Strong communication skills, including the ability to explain complex concepts to technical and non-technical audiences.
Excellent English (at least C1 level).
Excellent time management and multitasking ability, including working across several customer projects and internal teams.

Nice to have:

Exposure to or interest in sales processes, technical demos, and customer-facing engagements.

Obowiązki

Advise clients during pre-sales and early engagement on AI/LLM and modern data platforms, and how these capabilities align with their business goals.
Lead or support technical discovery sessions, clarify business problems, identify solution patterns, and assess feasibility across AI/ML and data platform initiatives.
Design and communicate solution architectures, including LLM integrations, AI/ML solutions, RAG, vector databases, orchestration pipelines, data flows, data lakes, data warehouses, and big data processing solutions.
Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes for proposals and delivery, including solutions using AI/ML and modern data engineering and analytics platforms.
Evaluate emerging AI tools, libraries, frameworks, and data technologies through internal R&D, and translate findings into recommendations for internal teams and clients.
Collaborate with sales, delivery, and engineering teams on the transition from pre-sales through technical scoping and solution design to delivery hand-off and implementation.

Benefity

Private healthcare.
Multisport card and sport subscription.
Referral bonus.
Paid leave.
Training budget and in-house trainings.
Language classes.
Team building events.
Flexible working hours.
Free coffee.
Shower.

Opieka zdrowotna

Karta sportowa

Premie

Płatny urlop

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Kursy językowe

Spotkania integracyjne

Elastyczne godziny

Napoje w biurze

Prysznic

Inne informacje

Applications are collected and processed through Addepto’s official recruitment system.

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