Technical Lead, AI Engineering at Sayari

Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Python expertise: FastAPI, asyncio, ORM (e.g., SQLAlchemy), and hands-on performance work (profiling, async I/O, CPU vs. memory trade-offs)
Classical NLP: spaCy, NLTK, BOW, keyword/regex pipelines; practical text normalization, tokenization, NER, and rule-based extraction
LLMs: prompt/chain design, parameterization (temperature/top-p/max tokens), patterns (RAG, ReAct, CoT, tool use), and safety/guardrails
Agents: experience building task-oriented LLM agents and evaluators; fallback strategies and observability for agent behavior
Pipelines: Python ETL/ELT, workflow orchestration (Airflow/Prefect/Dagster or equivalent)
Databases: PostgreSQL schema design, indexing, query optimization
Testing: unit/integration/load testing, API contract testing; comfort with test data management and golden datasets
Collaboration: mentoring, design reviews, structured debugging, and working across functions

Responsibilities

Ship internal AI Applications end-to-end: design APIs (FastAPI), write performant async Python, and deliver observability, tests, and CI/CD, including Database design to support those applications
Own and maintain NLP/LLM pipelines that power internal services (prompt patterns, parameter tuning, fallbacks/guardrails, evaluation, inference)
Develop and scale agents for LLM tasks (tool use, retrieval, routing, self-critique/verification)
Collaborate with the data scientist to implement new capabilities, evaluate model quality, and move prototypes to production

Skills

Key technologies and capabilities for this role

PythonspaCyNLTKFastAPIPostgreSQLETLLLMsNLPCI/CD

Questions & Answers

Common questions about this position

What is the work arrangement or location for this role?

This information is not specified in the job description.

What skills and experience are required for the Technical Lead, AI Engineering role?

Required skills include Python expertise with FastAPI, asyncio, ORM like SQLAlchemy, and performance optimization; classical NLP with spaCy, NLTK, BOW, and keyword pipelines; LLMs with prompt design, RAG, ReAct, and safety guardrails; agents for LLM tasks; ETL/ELT pipelines; PostgreSQL; and comprehensive testing.

What is the company culture like at Sayari?

Sayari's culture emphasizes dedication to using open data for visibility into global networks, passion for novel problem-solving approaches, diverse perspectives for optimal outcomes, cross-team collaboration, training opportunities, and rewarding initiative and innovation with supportive, high-performing, curious teams.

What does the role involve in terms of collaboration?

You’ll partner closely with the data scientist to productionize models, implement new capabilities, evaluate model quality, and move prototypes to production.

What makes a strong candidate for this Technical Lead position?

A strong candidate has hands-on expertise across Python services, classical NLP tools like spaCy and NLTK, modern LLMs with agent development, data pipelines, PostgreSQL, and testing, plus experience owning end-to-end AI applications and collaborating to productionize models.

Sayari

Provides risk intelligence for supply chains

About Sayari

Sayari specializes in counterparty and supply chain risk intelligence, helping businesses and analysts make informed decisions by providing visibility into the relationships between corporate entities and their stakeholders, such as shareholders and suppliers. The platform integrates trade data from 65 countries with global corporate ownership data, allowing clients to identify various risks, including regulatory and reputational risks. Sayari differentiates itself from competitors by offering a comprehensive view of cross-border networks and hidden risks, which is crucial for managing compliance with regulatory and ESG mandates. The company's goal is to ensure transparency and mitigate risks in global commerce, providing subscription-based services that give clients continuous access to updated data for effective risk assessment and management.

Washington, District of ColumbiaHeadquarters

2015Year Founded

$53.2MTotal Funding

DEBTCompany Stage

Data & Analytics, Consulting, Financial ServicesIndustries

201-500Employees