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About the Role

NewsWhip, a part of Sprout Social, is seeking an experienced Senior Applied AI/ML Scientist to join its AI, Data and Intelligence team. The role involves working with large-scale news data streams to create predictive insights that empower journalists, PR professionals, and global brands. This position demands innovation in building LLM-powered systems that perform retrieval, reasoning, enrichment, and interaction beyond mere question-answering.

Key Responsibilities

Design and implement production-ready agentic workflows, including background agents that enrich and monitor incoming data continuously, as well as interactive tools that respond promptly to user queries.
Develop LLM-enhanced content enrichment features that convert raw news signals into structured, actionable intelligence embedded in customer reports and alerts.
Lead the design and technical direction of systems empowered by tool-augmented LLMs, using protocols like model context protocol and multi-step reasoning frameworks.
Make high-level architectural decisions regarding the use of retrieval techniques, agent frameworks, fine-tuning methods, or classic NLP approaches as appropriate.
Establish standards for structured prompting, schema outputs, and reusable engineering patterns to enable scalable development.
Set and uphold rigorous quality assurance measures for LLM systems including offline benchmarking, experimentation, regression detection, and human oversight to ensure accuracy and reduce hallucinations.
Embed observability in features, including tracing, latency controls, cost monitoring, quality metrics, and model drift detection.
Balance trade-offs among model precision, response times, and operational cost, taking ownership of these decisions.
Enhance semantic search infrastructure and embedding systems, focusing on strategies like chunking and hybrid search that support agentic architectures.
Collaborate closely with product and UX teams to translate complex AI concepts into reliable features that serve customers.
Lead architectural discussions and provide mentorship to junior engineers, fostering technical growth within the team.
Stay updated on emerging AI models, frameworks, and best practices and introduce relevant innovations to the tech stack.

Candidate Profile

At least 6 years of experience developing and managing production software solutions.
Minimum of 2 years hands-on experience delivering LLM-integrated features in practical settings.
Strong proficiency in backend engineering, especially Python.
Familiarity with LLM APIs (OpenAI, Anthropic), transformer models, embedding methods, vector database technologies (ChromaDB, Pinecone, Weaviate), prompt engineering, evaluation frameworks, and LLM operations tools.
Proven track record handling end-to-end ownership of systems, including architecting model trade-offs and leading technical design processes.
Experience collaborating with UX/product teams and mentoring technical staff.

Preferred qualifications include a bachelor's degree in fields such as Data Science, Computer Science, Machine Learning, AI, hands-on experience with AI orchestration tools (LangChain, LlamaIndex), knowledge of Model Context Protocol and tool-calling architectures, expertise in semantic search, cloud services, and media analytics.

Growth Plan

Within the first month: complete onboarding, grasp products and AI roadmap, deliver early feature improvements.
Within three months: take ownership of a key LLM feature, enhance model quality and evaluation methods, lead design discussions.
Within six months: lead full-cycle delivery of significant AI features, develop reusable tooling, and improve quality metrics measurably.
Within a year: become a recognized expert in LLM systems, influence architecture strategy, mentor others, and innovate product capabilities.

Benefits and Compensation

Comprehensive health and dental insurance fully covered for employees and eligible dependents.
Matching pension contributions up to 6% of salary.
Life and disability insurance fully paid by the company.
Generous leave policy including 25 days paid time off plus public holidays and additional rest days.
Paid parental leave of 26 weeks full pay for birthing parents and 16 weeks for non-birthing parents.
Family care support via subsidized child and eldercare services.
Premium mental health resources with coaching, therapy, and wellness content.
Annual lifestyle spending account for wellbeing expenses, home office setup stipend, and monthly internet reimbursement.
Office perks including daily lunch allowance and commuter benefits.
Charitable donation matching program.

Salary range for this position is €90,000 to €135,000 annually, based on location within Ireland, experience, and skills. Remote work is supported within Ireland. Employment outside the Ireland or EMEA region is not currently available.

Additional Information

The company processes personal data supplied during application to evaluate candidacy as per global privacy policies. Benefits programs are discretionary and not contractual guarantees. Salary ranges reflect market data and are reviewed regularly for competitiveness and equity.

Senior Applied AI/ML Scientist