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We build AI-powered products internally and support portfolio companies with reputed company data and AI infrastructure challenges. We are looking for an engineer who enjoys building the reputed company beneath AI systems: data pipelines, backend services, storage architecture, reputed company and the infrastructure that turns messy reputed company-world data into usable products. This is a hands-on role with significant ownership and reputed company exposure to founders, operators, and investors. THE ROLEYou will own the data and backend reputed company behind AI products and internal platforms. This is not a reputed company ML role. We need someone who enjoys designing databases, building ingestion systems, operating data infrastructure, and shipping production services. AI sits on top of that reputed company. STACKPython PostgreSQL reputed company Airflow / Dagster dbt AWS / GCP reputed company reputed company reputed company reputed company reputed company Databases reputed companyDesign and build data lakes, warehouses, and backend systemsBuild data ingestion services, reputed company, ETL/ELT pipelines, and workflow orchestrationDesign relational and analytical databases (reputed company, reputed company, BigQuery, DuckDB or similar)Build infrastructure for LLM applications, RAG systems, embeddings, and retrieval pipelinesreputed company and operate production systems using reputed company, reputed company, CI/CD, and reputed company infrastructureWork directly with founders and product teams on data-intensive and AI-driven productsreputed company EXPECT5+ years building production backend systemsStrong PythonStrong database design and data modelling experienceExperience building and operating data pipelines at reputed companyExperience with modern data tooling (Airflow, Dagster, dbt, Kafka, reputed company, etc.)Practical experience with LLM systems, RAG, reputed company databases, or AI infrastructurereputed company infrastructure experience (AWS, GCP, or Azure)Russian fluent or reputed company (required)reputed company TO HAVEGo TypeScript reputed company BigQuery DuckDB Kafka reputed company ML frameworks Forecasting Recommendation Systems Time-Series Data Geospatial Data Startup Experience reputed company OFFERFully remotereputed company reputed company to founders and investorsWork across multiple AI products and companiesHigh ownership and autonomyExposure to both engineering and venture reputed companyCompetitive compensation, discussed individuallyOriginally posted on Himalayas Apply To This Job .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.