AI Engineer

Now we are looking for a AI Engineer (LLM focus) to build and scale the core intelligence behind Summy AI Copilot, our agentic assistant for compliance officers. This is an exciting opportunity to own a cutting‑edge GenAI product, pushing LLMs beyond basic text generation to execute complex reasoning, Text‑to‑SQL, and autonomous tasks.

• Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout.
• Agentic Orchestration: Design and build robust, multi‑turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action.
• Advanced RAG & Retrieval: Develop hybrid retrieval pipelines (dense + BM25, reranking) and semantic layers over highly sensitive compliance data and business glossaries.
• Text‑to‑SQL & Data Access: Build and optimize secure Text‑to‑SQL pipelines with permission‑aware access control, execution previews, and safety guardrails.
• LLM Observability & Evaluation: Set up comprehensive tracing, monitoring (e.g., Langfuse), and evaluation pipelines (LLM‑as‑a‑judge) to track quality, latency, and token cost.
• Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real‑world production metrics and A/B tests.

• Experience: 5+ years in Software/Data/ML Engineering, with 1.5+ years explicitly focused on building and shipping production‑grade GenAI/LLM systems.
• In‑Depth LLM Knowledge: You understand how LLMs work under the hood. You know how to push models far beyond basic text generation (e.g., structured extraction, tool calling, cost‑aware routing).
• Production ML/Data Skills: Strong background in Python, SQL, and data infrastructure (BigQuery, Kafka, Airflow). You know how to feed clean data to your models.
• LLM Stack Mastery: Hands‑on experience with agentic orchestration (LangChain/LangGraph), Vector DBs (Qdrant or similar), and modern LLM APIs (Claude, Gemini, OpenAI).
• Engineering Excellence: You write production‑ready code for microservices (FastAPI), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes).

• Experience building Text‑to‑SQL agents or AI tools for self‑service data analytics.
• Background in classical NLP, traditional MLOps, or large‑scale data engineering.
• Familiarity with compliance, anti‑fraud, KYC/AML, or fintech domains.

• Remote‑first, trust‑based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
• True flexibility. We do not fix you to a 9‑to‑5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
• Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year.
• Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone.
• Compensation. We offer fair and transparent pay, benchmarked to the market.
• Truly global. We work across continents and time zones, with teammates and customers from all over the world.
• Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role‑specific events.
• Celebrating your big moments. Dedicated financial bonuses for marriage and welcoming a new baby.
• Team offsites. Trips are fully covered.
• Getting you set up. Access to tools and hardware you need.
• Friendly by design. Our logo is a dog for a reason.

We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.

This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.