ITBS Group of Companies

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!

We are looking for a Full-Stack React & Node.js Product Developer 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 outrank expensive legacy SEO and GEO agencies at a fraction of the cost.

Why this role rocks

As one of the first Full-Stack Developers in our Product Guild, you'll turn AI/ML research and growth experiments into polished, revenue-generating product features that land in customers' hands every one-week sprint. You'll join a team whose members have built solutions for NASA, Google, Microsoft, Bosch and dozens of F2000 enterprises.

What you'll build & ship

• Customer Console – real-time dashboards that visualize share-of-voice, entity-gap heatmaps, and lead flow.
• Content Ops Studio – A React-based interface for editing and managing AI-generated content, integrating AI drafting, human SEO review, and publishing pipelines
• API Layer – Node.js/TypeScript (Express / Nest) services that expose our Knowledge-Graph and Q&A scoring engines.
• Integration hooks – webhooks & SDKs (GraphQL/REST) ​​for CRMs, CMSs, and data warehouses.
• Security & Compliance – implement auth (OAuth 2, JWT), rate-limiting, and privacy-first data flows.
• Dev-Experience – CI/CD (GitHub Actions), automated tests, and feature flags so we can release multiple times per day.

The toolkit you'll use

• Front-end: React 18 / Next.js, Vite, Tailwind, Materia UI, React-Query, D3 or Recharts.
• Back-end: Node.js 20 +, TypeScript, Express or NestJS, TypeOrm or Postgres, Redis, Langchain, RabbitMQ Pub/Sub.
• Cloud: AWS, Kubernetes.
• CMS: Strapi
• Quality: Jest, Cypress,  Datadog.
• Collaboration: ClickUp+Scrum, Figma.

You're a great fit if you…

• Have 2  – 5+ years building production React and Node.js applications (TypeScript a must).
• Own features end-to-end: UX, API, infrastructure, deployment, monitoring.
• Love data-heavy UIs and know your way around charts, virtualized tables, and WebSockets.
• Can design REST/GraphQL APIs that serve thousands of req/min with single-digit latency.
• Understand CI/CD, infra-as-code, and cloud-native patterns (12-factor), SSR/SSG/ISR.
• Thrive in startup ambiguity, deliver in short sprints, and iterate on customer feedback.
• Communicate clearly in English; bonus for experience with SEO, analytics, or AI/LLM/RAG pipelines.

What we offer

• Impact from day one  - the components you ship directly increase leads and revenue for high-growth SaaS, fintech, and deep-tech brands.
• Elite peer group – collaborate with PhDs and operators who've scaled technologies at global brands
• Competitive salary and opportunity for career growth.
• Remote flexibility – async-first culture; we measure outcomes, not hours.
• Transparent KPIs – see exactly how your work moves the needle on client conversions.

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!