Senior Engineer AI

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.

Role: AI / Agentic Senior Platform Engineer

Experience: 5–8+ Years

Job Summary:

We are looking for an AI / Agentic Platform Engineer with strong experience in building enterprise-grade Generative AI applications, multi-agent systems, and intelligent workflow automation. The engineer will be responsible for developing AI agents, agent orchestration, reusable skills, and context-aware AI capabilities to support software development lifecycle automation.

Key Responsibilities:

• Design and develop multi-agent systems using LangGraph and LangChain.
• Build and integrate specialized AI agents for code analysis, development, testing, code review, security, and release management.
• Develop reusable Agent Skills and integrate tools using Model Context Protocol (MCP).
• Implement Retrieval-Augmented Generation (RAG) for contextual understanding of code repositories and technical documentation.
• Integrate AI agents with enterprise systems, APIs, and orchestration workflows.
• Implement prompt engineering, structured outputs, AI guardrails, and agent evaluation frameworks.
• Collaborate with platform teams to deploy, monitor, and optimize agentic AI solutions.

Required Technical Skills & Tools:

• Programming: Python, FastAPI, REST APIs, Pydantic
• Agentic AI: LangGraph, LangChain, Multi-Agent Architecture, Agent Skills
• LLMs(integration): OpenAI, Claude, Gemini, or equivalent enterprise LLMs
• AI Integration: Model Context Protocol (MCP), Tool Calling, Prompt Engineering
• RAG & Vector Databases: PostgreSQL/pgvector, Embeddings, Semantic Search
• Orchestration & Messaging:Temporal, Apache Kafka
• DevOps & Cloud: GitHub, GitHub Actions, Docker, Kubernetes, Microsoft Azure
• Observability & Evaluation: LangSmith, OpenTelemetry, LLM Evaluations

Preferred Qualifications:

• Experience building production-grade agentic AI applications.
• Knowledge of code-aware RAG, knowledge graphs, and Neo4j.
• Experience integrating AI agents into enterprise development platforms.
• Understanding of AI security, governance, and human-in-the-loop workflows.