Sprout Social

Senior Applied AI/ML Scientist (B2B)

26.6k - 33.3k PLN26 600 - 33 300 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#455311·Dodano 15 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

AIPythonMCPLangchain DatadogLlamaIndex

Podsumowanie oferty

This role involves building and shipping advanced LLM-powered features for NewsWhip's real-time news intelligence platform. The Senior Applied AI/ML Scientist will architect complex agentic workflows, lead the design of content enrichment systems, and drive evaluation and observability practices. Collaboration with product and UX teams is key to translating AI capabilities into impactful features.

Wymagania

Minimum Qualifications:

6+ years building and operating production software systems.
2+ years hands-on experience shipping LLM-powered features.
Strong backend engineering skills, preferably with Python.
Experience with Large Language Model APIs, embedding models, vector databases, prompt engineering, LLM evaluation frameworks, and LLMOps practices using tools like Langchain, Datadog.
Proven track record of owning end-to-end production systems.
Experience making architectural trade-offs and leading technical reviews.
Collaboration experience with Product and UX.

Preferred Qualifications:

Bachelor’s degree in Data Science, Computer Science, Machine Learning, AI, or related field.
Experience with AI orchestration frameworks such as LangChain, LlamaIndex.
Familiarity with Model Context Protocol (MCP) or tool-calling architectures.
Experience building agentic workflows and semantic search systems.
Experience with cloud platforms and media analytics.
Background in startup or high-growth environments.

Obowiązki

Build and Ship LLM-Powered Features:

Architect and deliver production agentic workflows for ambient and interactive agents.
Own design of LLM-powered content enrichments feeding customer reporting and alerts.
Lead technical direction for tool-augmented LLM systems including MCP-compatible services.
Make architecture-level decisions regarding retrieval, fine-tuning, and model selection.
Define structured prompting standards, output schemas, and reusable patterns.

Drive Quality, Evaluation, and Observability:

Set standards for LLM evaluation including offline benchmarks and human-in-the-loop reviews.
Own guardrails for safety, hallucination reduction, and output consistency.
Build observability into LLM features with tracing, cost tracking, latency monitoring.
Balance model quality, latency, and cost trade-offs.

Retrieval, Embeddings, and Semantic Infrastructure:

Develop embedding and semantic search infrastructure, including chunking and hybrid search.
Improve retrieval relevance as part of agentic architecture.

Lead Technically and Influence Cross-Functionally:

Partner with Product and UX to deliver reliable AI features.
Lead design discussions and represent AI team in architecture decisions.
Provide mentorship and code reviews to engineers.
Evaluate emerging models and techniques for inclusion in the stack.

Benefity

Eligibility for Restricted Stock Units (RSUs).
26 paid days off annually plus bank holidays and extra company "Rest & Recharge" days.
Paid parental leave: 20 weeks for birthing parents, 16 weeks for non-birthing parents.
Annual $600 USD Lifestyle Spending Account for wellness support.
Flexible remote-first work model with $550 USD home office setup stipend and monthly internet reimbursement.
Access to mental health resources and wellness programs.
Opportunities for international travel to Chicago HQ.
Kraków office daily lunch stipend (50 zł) for in-office work.

Udziały pracownicze

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Inne informacje

Please be informed that the data controller is Spout Social. You have rights to your personal data including access, rectification, erasure, restriction, objection, portability, and complaint to supervisory authority. Personal data is processed for recruitment purposes based on legal obligations and consent. Data is processed until recruitment or consent withdrawal. Accommodation requests during recruitment can be submitted by email. Location flexibility is provided within Poland for remote or Kraków office work.

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