Senior Engineer Software - AI [T500-29309]

Albertsons Companies India; Bengaluru; On-site; INR 350,000 - 600,000; Full time

Job summary

Albertsons India Capability Center in Bengaluru seeks a Senior Engineer Software to architect and deliver enterprise AI solutions. You will write production-grade AI code, build LLM-powered applications, and drive RAG pipelines across the tech stack in a cloud-native environment.

You will collaborate with data science, architecture, and engineering teams to translate business needs into scalable AI platforms, while mentoring others and ensuring production readiness.

Qualifications

• 6-9 years of software engineering experience developing enterprise applications.
• 4+ years of hands-on Python development experience.
• Experience designing and developing AI/ML, Generative AI, or intelligent automation solutions.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions.
• Hands-on experience with Vector Databases such as Azure AI Search, Vertex AI Vector Search, or pgVector.
• Experience deploying AI/ML solutions using Vertex AI or Azure Machine Learning.
• Experience developing REST APIs, microservices, and event-driven integrations.
• Experience integrating AI solutions with Kafka, APIs, messaging systems, and enterprise applications.
• Experience with Docker and Kubernetes in cloud environments.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Experience with MLOps practices including model deployment, monitoring, versioning, and evaluation.
• Experience with PostgreSQL, MongoDB, Cassandra, or similar database technologies.
• Familiarity with observability practices including logging, monitoring, metrics, and tracing.
• Experience working within Agile software delivery methodologies.
• Ability to understand business requirements and translate them into scalable AI solutions.
• Familiarity with GitHub Copilot or similar AI-assisted development tools.
• Compassionate and kind, showing courtesy, dignity, and respect.
• Shows integrity in all activities without compromising business ethics.
• Embraces inclusion and encourages diverse perspectives and ideas.
• Team-oriented and positively contribute to team morale.
• Continuously learn and adapt to emerging AI technologies.
• Think strategically and proactively anticipate future business and technology needs.
• Retail and Supply Chain domain experience preferred.
• Experience mentoring engineering teams.
• Hands-on experience supporting production environments with an SRE mindset.
• Passion for AI innovation and business transformation.

Responsibilities

• Writes production-grade AI application code daily and conducts code reviews, maintaining high standards of quality, security, and scalability.
• Evaluates complex business requirements and translates them into AI-powered solutions using Machine Learning, Generative AI, and Agentic AI frameworks.
• Designs and develops enterprise AI applications using Python and cloud-native AI platform services.
• Improve and sustain existing AI services and platforms, reducing technical debt while enhancing model quality, performance, and reliability.
• Conducts feasibility studies for AI use cases and recommends appropriate AI/ML, GenAI, and RAG solution approaches.
• Demonstrates and models of engineering excellence while mentoring junior engineers on AI development best practices.
• Focuses on quality in all aspects of AI solution delivery, including model evaluation, observability, governance, and production readiness.
• AI Development: Designs and develops AI solutions using Python, Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks.
• RAG Solutions: Builds and maintains Retrieval-Augmented Generation (RAG) pipelines, embedding services, chunking strategies, retrieval workflows, and enterprise knowledge solutions.
• AI Agents: Develops AI agents using LangChain, LangGraph, or similar frameworks, including tool calling, workflow orchestration, memory management, and human-in-the-loop capabilities.
• Vector Search: Designs and implements vector search solutions using Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, pgVector, or similar technologies.
• AI Integration: Integrates AI solutions with enterprise systems through REST APIs, Kafka, messaging platforms, and event-driven architectures.
• Cloud & Delivery: Deploys AI models and services on Vertex AI or Azure Machine Learning platforms while leveraging Docker, Kubernetes, CI/CD pipelines, and GitOps practices.
• Quality: Implements automated validation, testing, evaluation frameworks, prompt testing, and performance monitoring for AI applications.
• Production: Supports AI services in production environments through observability, logging, monitoring, troubleshooting, and on-call participation.
• Understands client and stakeholder expectations and proactively escalates risks impacting AI solution delivery.
• Participates in innovation initiatives, recruiting activities, technical presentations, and AI knowledge-sharing across the organization.
• Collaborates across business, data science, architecture, and engineering teams to deliver enterprise AI solutions.

Skills

Python

LLMs

AI/ML

RAG

LangChain

LangGraph

REST APIs

Docker

Kubernetes

CI/CD

Tools

Azure DevOps

GitHub Actions

Vertex AI

Azure Machine Learning

PostgreSQL

MongoDB

Cassandra

Weaviate

Pinecone

pgVector

Docker

Kubernetes

Job description

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 India Capability Center:

At Albertsons India Capability Center, 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 India Capability Center, 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 India Capability Center, 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.

We are excited to announce an opening for Senior Engineer Software at ACI. Please find below the details of the role and its responsibilities.

Skills Required:

Experience Range:

6 - 9 years

Position Title: Senior Engineer Software (T07)

Function:

• Writes production-grade AI application code daily and conducts code reviews, maintaining high standards of quality, security, and scalability.
• Evaluates complex business requirements and translates them into AI-powered solutions using Machine Learning, Generative AI, and Agentic AI frameworks.
• Designs and develops enterprise AI applications using Python and cloud-native AI platform services.
• Improve and sustain existing AI services and platforms, reducing technical debt while enhancing model quality, performance, and reliability.
• Conducts feasibility studies for AI use cases and recommends appropriate AI/ML, GenAI, and RAG solution approaches.
• Demonstrates and models of engineering excellence while mentoring junior engineers on AI development best practices.
• Focuses on quality in all aspects of AI solution delivery, including model evaluation, observability, governance, and production readiness.
• AI Development: Designs and develops AI solutions using Python, Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks.
• RAG Solutions: Builds and maintains Retrieval-Augmented Generation (RAG) pipelines, embedding services, chunking strategies, retrieval workflows, and enterprise knowledge solutions.
• AI Agents: Develops AI agents using LangChain, LangGraph, or similar frameworks, including tool calling, workflow orchestration, memory management, and human-in-the-loop capabilities.
• Vector Search: Designs and implements vector search solutions using Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, pgVector, or similar technologies.
• AI Integration: Integrates AI solutions with enterprise systems through REST APIs, Kafka, messaging platforms, and event-driven architectures.
• Cloud & Delivery: Deploys AI models and services on Vertex AI or Azure Machine Learning platforms while leveraging Docker, Kubernetes, CI/CD pipelines, and GitOps practices.
• Quality: Implements automated validation, testing, evaluation frameworks, prompt testing, and performance monitoring for AI applications.
• Production: Supports AI services in production environments through observability, logging, monitoring, troubleshooting, and on-call participation.
• Understands client and stakeholder expectations and proactively escalates risks impacting AI solution delivery.
• Participates in innovation initiatives, recruiting activities, technical presentations, and AI knowledge-sharing across the organization.
• Collaborates across business, data science, architecture, and engineering teams to deliver enterprise AI solutions.

Experience Required:

• 6-9 years of software engineering experience developing enterprise applications.
• 4+ years of hands-on Python development experience.
• Experience designing and developing AI/ML, Generative AI, or intelligent automation solutions.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions.
• Hands-on experience with Vector Databases such as Azure AI Search, Vertex AI Vector Search, or pgVector.
• Experience deploying AI/ML solutions using Vertex AI or Azure Machine Learning.
• Experience developing REST APIs, microservices, and event-driven integrations.
• Experience integrating AI solutions with Kafka, APIs, messaging systems, and enterprise applications.
• Experience with Docker and Kubernetes in cloud environments.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Experience with MLOps practices including model deployment, monitoring, versioning, and evaluation.
• Experience with PostgreSQL, MongoDB, Cassandra, or similar database technologies.
• Familiarity with observability practices including logging, monitoring, metrics, and tracing.
• Experience working within Agile software delivery methodologies.
• Ability to understand business requirements and translate them into scalable AI solutions.
• Familiarity with GitHub Copilot or similar AI-assisted development tools.
• Compassionate and kind, showing courtesy, dignity, and respect.
• Shows integrity in all activities without compromising business ethics.
• Embraces inclusion and encourages diverse perspectives and ideas.
• Team-oriented and positively contribute to team morale.
• Continuously learn and adapt to emerging AI technologies.
• Think strategically and proactively anticipate future business and technology needs.
• Retail and Supply Chain domain experience preferred.
• Experience mentoring engineering teams.
• Hands-on experience supporting production environments with an SRE mindset.
• Passion for AI innovation and business transformation.

Mandatory Skills Required:

• Programming Languages
• Python
• SQL

AI & Generative AI:

• Prompt Engineering
• LangChain
• LangGraph
• Retrieval-Augmented Generation (RAG)
• AI Agents