AI Engineering Manager
doolaSalary not specified
Full Time
Junior (1 to 2 years)
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
Python
spaCy
NLTK
FastAPI
PostgreSQL
ETL
LLMs
NLP
CI/CD
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
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Sick Leave
401(k) Company Match
Risks
Emerging startups offering similar services at lower costs threaten Sayari's market share.
Rapid AI advancements may outpace Sayari's current platform capabilities.
Economic downturns could lead clients to reduce or cancel Sayari's subscription services.
Differentiation
Sayari integrates trade data from 65 countries with global corporate ownership data.
The platform offers batch supplier screening and detailed risk reporting capabilities.
Sayari Signal provides real-time data across 100 risk categories for trade compliance.
Upsides
Growing demand for ESG compliance tools boosts Sayari's market potential.
Increased regulatory scrutiny on cross-border transactions drives demand for Sayari's solutions.
Expansion of digital trade platforms requires integrated risk assessment tools like Sayari's.
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