Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
About Albertsons Companies India
Albertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.
Job Description
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:
Python, Vertex AI, Azure Machine Learning, LangChain, LangGraph, RAG, Vector Databases, Generative AI, LLMs, AI Agents, Prompt Engineering, REST APIs, Kafka, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Azure DevOps, GitHub Actions, PostgreSQL, MongoDB, Cassandra, Azure AI Search, Vertex AI Vector Search MLOps, Observability, GitHub Copilot
Experience Range:
6 - 9 years
Position Title: Senior Engineer Software (T07)
Function:
Roles & 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.
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.
Competencies:
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: Large Language Models (LLMs) Prompt Engineering LangChain LangGraph Retrieval-Augmented Generation (RAG) AI Agents
Cloud AI Platforms: Google Vertex AI and/or Azure Machine Learning
Vector Databases: Azure AI Search Vertex AI Vector Search pgVector
Backend & Integration: REST APIs Event-Driven Architecture Apache Kafka FAST API
Cloud Technologies: Azure or GCP Docker Kubernetes
CI/CD & MLOps: Azure DevOps GitHub Actions Git Model Deployment Model Monitoring
Databases: PostgreSQL MongoDB Cassandra
Observability: Logging Metrics Distributed Tracing
Domain: Retail / Supply Chain
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 4677 that say).
From live job posts on CoreHRx, updated 14 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 282 posts).
The post asks for 6–9 Yrs experience.
In Bangalore.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
Create a free profile and we email you new IT jobs in Bangalore, at most once a week.
