Senior Staff Engineer Software - AI/Agentic AI [T500-30276]

Albertsons Companies India; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Albertsons Companies India is hiring a Senior Staff Software Engineer, AI Engineering (AIDLC). You will set agent architecture, build multi-agent systems, and own evals, observability, and guardrails.

You will mentor engineers, code weekly, and optimize costs while partnering with Security, Cloud, Data, and EA teams. Ideal candidates have 12+ years in software engineering, hands-on Python/Java/TypeScript, and deep experience with LLM agents and orchestration across cloud platforms.

Qualifications

• AI experience with production LLM agents and multi-agent systems with evals and tracing.
• 12+ years of software engineering, distributed systems delivery.
• Hands-on programming in Python, Java or TypeScript for agents and services.
• Multi-agent orchestration: task decomposition, delegation, shared state.
• Experience designing evals, golden datasets and release gating.
• Observability: tracing, logging, cost reporting for agents.
• Guardrails, prompt-injection defence and human-in-the-loop design.
• Proficient with agentic coding tools and cloud platforms.
• Mentors engineers, reviews work, and sets technical patterns.
• Experience managing LLM cost and scaling agent workloads in production.

Responsibilities

• Set agent architecture patterns for the AIDLC pod and MCP servers.
• Design and build multi-agent systems across the SDLC and production support.
• Own eval standards and release gates for agent changes.
• Own observability standards for production agents.
• Design guardrails for agents operating on source control and CI/CD.
• Review agent designs and PRs; raise the quality bar with patterns.
• Mentor staff and junior engineers on design, evals and debugging.
• Write production code weekly using Claude Code, Copilot, Cursor.
• Measure impact: delivery speed, cost, defects, security findings.
• Track model/token cost and support model routing and caching.
• Evaluate frameworks/tools; advise build vs buy decisions.
• Collaborate with Security, Cloud, Data, Product, and EA teams.

Skills

AI experience

LLM agents

Distributed systems

Python

Java

TypeScript

Multi-agent orchestration

Evals & tracing

Guardrails & security

Agent coding tools

Cost management

Cloud platforms

Mentoring engineers

Team leadership

Strategic thinking

Collaboration

Tools

LangGraph

LangChain

LangSmith

Claude Agent SDK

OpenAI Agents SDK

Google ADK

Azure

Google Cloud Platform

Job description

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others. Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging. Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company.

About Tech Hub in India:

Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons' first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The employees at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence.

We are excited to announce an opening for Senior Staff Software Engineer, AI Engineering (AIDLC) at ACI. Please find below the details of the role and its responsibilities.

• Set agent architecture patterns for the AIDLC (AI-driven development lifecycle) pod: orchestration, tool and function calling, MCP, memory and state management, context engineering and RAG.
• Design and build multi-agent systems across the software development lifecycle: requirements and design, code review before merge, security-finding remediation, test generation, release and path to production, and SRE and incident support.
• Build and maintain MCP servers, including code knowledge graphs exposed over MCP, so agents can query large Java/Spring and React/Angular codebases.
• Own eval standards for the pod. Define golden datasets, LLM-as-judge scoring with human calibration and regression suites, and make passing evals a release gate for every agent change.
• Own observability standards: tracing, logging and cost reporting for agents in production, so any agent action can be reconstructed.
• Design guardrails for agents that act on source control, CI/CD and cloud: least-privilege tool access, prompt-injection defence, human-in-the-loop approval points, and trust and delegation rules between agents.
• Review agent designs and agent pull requests from other engineers, and raise the quality bar through reviews and written patterns.
• Mentor Staff, mid-level and junior engineers on agent design, evals and debugging agent failures.
• Write production code every week. Use agentic coding tools daily (e.g. Claude Code, GitHub Copilot, Cursor) and show the pod how to use them well.
• Measure agent impact against the pre-agent baseline: delivery speed and cost, defects, security findings, cycle time and change failure rate. Own the technical side of those numbers.
• Track model and token cost and design for it through model routing, caching and context management.
• Evaluate frameworks, models and vendor tools for the pod and recommend build or buy to the Sr. Manager.
• Partner with Security, Cloud, Data, Product and Enterprise Architecture teams so agents meet security, risk and compliance standards.

Experience Required:

• AI experience is a MUST. You have built and deployed LLM agents or agentic workflows in production, used by real users, including at least one multi-agent system, with evals and tracing in place. Describe it in your application or link a repo or demo.
• 12+ years of software engineering experience, including hands‑on delivery of distributed systems.
• Hands‑on programming in Python, Java or TypeScript, used to build agents and the services around them. The agents work on Java/Spring and React/Angular codebases.
• Multi‑agent orchestration is required: task decomposition, delegation, handoffs, shared state and failure handling. Frameworks are examples only (e.g. LangGraph, LangChain/LangSmith, Claude Agent SDK, OpenAI Agents SDK, Google ADK).
• Depth in tool/function calling, MCP (building servers, not only using them), memory and state management, context engineering and RAG.
• Experience designing evals: golden datasets, LLM-as-judge, regression testing and release gating for agents.
• Experience with tracing and observability for LLM applications, and with guardrails, prompt‑injection defence and human‑in‑the‑loop design.
• Everyday use of agentic coding tools (e.g. Claude Code, GitHub Copilot, Cursor).
• Experience setting technical patterns for a team, reviewing others' work and mentoring engineers.
• Experience managing LLM cost and scaling agent workloads in production.
• Cloud experience on Azure and/or Google Cloud Platform.
• A plus: agent‑to‑agent (A2A) protocol, code knowledge graphs or GraphRAG, fine‑tuning where it is justified.
• Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.
• Foster innovation through creativity to get to a workable solution. Use analytical thinking through issues using logic and reason
• Show integrity in what is done and how it is done - without sacrificing personal/business ethics.
• Embrace an inclusion‑focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions
• Team‑oriented, positively contributing to team morale and willing to help.
• Learning‑Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally
• Think strategically and proactively anticipate future problems, needs or changes in the work
• Delighting our customers and maintaining customer relationships are top priority and they work to always deliver solutions through this lens
• Ability to learn newer technologies, methodologies, and solutions in the cloud technology space.
• Ability to collaborate across organizational boundaries, build relationships, and achieve broader organizational goals.