Job Description
About Albertsons Companies Inc.:
As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
About Albertsons Companies India:
At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.
At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
AI Engineer (Backend, Python) — 3–6 Years
What you’ll do:
Own backend services for AI workflows: orchestration graphs (state, retries, timeouts, idempotency), tool execution, retrieval pipelines
Design and operate production APIs: versioning, pagination, error contracts; streaming via SSE/WebSocket
Build data layers from scratch: Postgres/SQL , schema design, indexing, query tuning; caching (Redis)
Apply distributed systems patterns: queues/workers, retries, backoff, DLQ, rate limiting, backpressure
Improve reliability: observability (logs/metrics/traces), performance profiling, incident fixes
Must-have:
Strong Python backend ownership (FastAPI preferred) + production API design
Strong concurrency: Asencio , thread pools, process pools; performance tradeoffs
SQL/Postgres + data modeling + query optimization
Distributed systems fundamentals (queues, workers, resiliency patterns)
Docker + deployment/operations basics; CI/CD familiarity
Nice-to-have:
gRPC exposure, K8s, vector DB + reranking/hybrid search, Open Telemetry
Screening Keywords:
Python backend, FastAPI (production)
API design: versioning, pagination, error contracts
SSE / WebSocket streaming; gRPC (nice)
Asyncio at scale, thread pools, process pools, profiling
SQL, PostgreSQL, schema design, indexing, query optimization
Redis caching
Distributed systems: queues/workers (Kafka/RabbitMQ/SQS), retries, backoff, DLQ
Rate limiting, backpressure, circuit breaker
Docker, deployment, CI/CD
Observability: logs, metrics, tracing (Open Telemetry/Datadog/Prometheus)
As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
About Albertsons Companies India:
At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.
At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
AI Engineer (Backend, Python) — 3–6 Years
What you’ll do:
Own backend services for AI workflows: orchestration graphs (state, retries, timeouts, idempotency), tool execution, retrieval pipelines
Design and operate production APIs: versioning, pagination, error contracts; streaming via SSE/WebSocket
Build data layers from scratch: Postgres/SQL , schema design, indexing, query tuning; caching (Redis)
Apply distributed systems patterns: queues/workers, retries, backoff, DLQ, rate limiting, backpressure
Improve reliability: observability (logs/metrics/traces), performance profiling, incident fixes
Must-have:
Strong Python backend ownership (FastAPI preferred) + production API design
Strong concurrency: Asencio , thread pools, process pools; performance tradeoffs
SQL/Postgres + data modeling + query optimization
Distributed systems fundamentals (queues, workers, resiliency patterns)
Docker + deployment/operations basics; CI/CD familiarity
Nice-to-have:
gRPC exposure, K8s, vector DB + reranking/hybrid search, Open Telemetry
Screening Keywords:
Python backend, FastAPI (production)
API design: versioning, pagination, error contracts
SSE / WebSocket streaming; gRPC (nice)
Asyncio at scale, thread pools, process pools, profiling
SQL, PostgreSQL, schema design, indexing, query optimization
Redis caching
Distributed systems: queues/workers (Kafka/RabbitMQ/SQS), retries, backoff, DLQ
Rate limiting, backpressure, circuit breaker
Docker, deployment, CI/CD
Observability: logs, metrics, tracing (Open Telemetry/Datadog/Prometheus)
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