AI Engineer for AI Marketing SaaS Startup

We are looking for an AI engineer for Estonian startup Snoika - AI Search Engine Visibility and Optimization SaaS.

Snoika is the results-driven AI Marketing Engine that guarantees 5+ qualified inbound leads per week for B2B companies while making them visible in both AI and traditional search engines. Our platform fuses cutting-edge knowledge-graph analytics, large-language-model (LLM) optimization and high-quality content pipelines to out-rank expensive legacy SEO and GEO agencies at a fraction of the cost.

Why you'll love this role

As one of the first Data Scientists in our growing Data Science Guild, you'll sit at the heart of Snoika's product - building and shipping the models and agents that:

• Scan LLM memory for gaps in brand knowledge (Knowledge-Graph Gap Scan).
• Inject fresh structured signals (schema, Wikidata, press citations) into AI ecosystems at scale.
• Score synthetic Q&A prompts weekly to measure Share-of-Voice.
• Optimize a reinforcement loop that drives > 90% visibility for our customers in ChatGPT, Gemini, Claude, Perplexity, Grok and more.
• Generate high quality articles with images at scale.

Every sprint you'll see your work go live, creating measurable uplifts in traffic, leads and revenue for venture-backed SaaS brands, fintechs, deep-tech companies and Fortune 2000 enterprises.

What you'll do

• Design, build , and deploy end-to-end agentic pipelines using n8n, Python, Hugging Face plus LangChain for chain orchestration and LangSmith for debugging, testing, and live observability of LLM flows.
• Develop production-grade RAG systems with LangChain's retrieval templates and vector databases (Pinecone, Qdrant, Weaviate) to surface knowledge gaps and optimize keyword coverage.
• Run systematic prompt-engineering experiments —A/B tests on instructions, system messages, and few-shot examples—to maximize precision/recall and minimize hallucination.
• Deploy agentic frameworks (eg, LangChain Agents, autonomous task loops) that automate Knowledge-Graph Gap Scans, content generation with images, and weekly Share-of-Voice scoring.
• Integrate Anthropic's Model Context Protocol (MCP) so Claude, GPT, and Gemini can pull fresh structured data (schema.org, Wikidata, press citations) from secure endpoints.
• Architect scalable data workflows on modern cloud stacks (eg n8n, GCP/AWS, BigQuery, DuckDB, Polars, Spark).
• Partner closely with Product, Growth and Engineering in one-week Scrum sprints; demo results to the team and customers and iterate fast.
• Track and own model KPIs such as precision/recall of entity extraction, share-of-voice uplift, and lead-conversion impact.
• Contribute to our results-based culture: "If we don't hit the KPIs, we extend services at no cost - until we do."

What we're looking for

• 1+ years of hands-on experience in AI / ML engineering or data science
• Fluency in Python or NodeJS plus modern LLM tooling: LangChain / LangSmith, prompt-engineering, major LLM APIs (OpenAI, Anthropic, Gemini); experience fine-tuning or deploying models is a big plus.
• Know-how with vector embeddings and search (Pinecone, Qdrant, Weaviate) and solid data-engineering chops: SQL, data modeling, orchestration (Airflow, n8n, Prefect, dbt).
• Comfort working in an Agile/Scrum environment, shipping to production every sprint.
• Familiarity with RAG workflows, marketing analytics, SEO / GEO / AIVO, ranking or recommender systems is highly valued.
• Familiarity with Text-to-Image models is a big plus.
• Startup DNA: you bias to action, navigate ambiguity and own outcomes end-to-end.
• Good spoken English; any other language is a bonus.

What we offer

• Impact from day one - your models directly drive our customers' leads and revenue.
• Competitive salary and opportunity for career growth.
• Senior peers & advisors - work alongside PhDs who've worked with NASA, Google, Microsoft, Bosch and more.
• Fast growth - startup scaling revenue and product lines quarter-over-quarter.
• Remote autonomy & flexible hours - we care about output, not chair time.

If you're excited to push the boundaries of AI Search Engine Visibility and Optimization, and want to help shape the future of marketing technology, we want to hear from you!