Staff Software Engineer

Walmart

. Design and own core platform capabilities, including plugin and extension systems, agent orchestration engines, and semantic and data abstraction layers .

Posted 10/5/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing platform capabilities, including agent orchestration and data abstraction layers, while ensuring security and performance standards. Proficient in mentoring engineering teams and driving the execution of complex projects in a multi-tenant environment.

Highest-signal resume keywords

10+ Years Of Software Engineering ExperienceProduction LLM-Based Systems DesignPython ProficiencyMulti-Tenant Systems OwnershipObservability And Fault Tolerance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringAgent OrchestrationClean API DesignDistributed Systems PatternsAsync ExecutionFault ToleranceData IsolationDependency InversionSemantic ModellingRAG Pipelines

Soft Skills

MentoringLeadershipCollaboration

Tools & Technologies

LangGraphLangFuseGoogleADKCrewAI

Certifications & Qualifications

Bachelor's Degree In Computer ScienceMaster's Degree In Relevant Field

Industry Keywords

AI Safety FrameworksResponsible AI PatternsData MeshCanonical Data LayersGoverned Tool Execution

Tech Stack

Tools & technologies

Distributed SystemsPython

About the role

Key responsibilities & impact

Design and own core platform capabilities, including plugin and extension systems, agent orchestration engines, and semantic and data abstraction layers
Architect and implement multi-step, parallel, and cross-domain agentic workflows powered by large language models
Build and enforce governed tool execution and security boundaries, including access controls, tenant isolation, and scope enforcement
Define and evolve the platform's data and semantic layer across relational, vector, semantic-modelled, and API sources
Establish and uphold latency SLAs, throughput targets, data isolation guarantees, and availability contracts
Own observability and explainability primitives, including audit pipelines, structured logging, response attribution, and governance metadata
Define architectural dependency rules and enforce them through code, tests, and design reviews
Partner with engineering, product, and data science teams to create reliable, documented platform contracts
Mentor engineers, lead design reviews, and promote reusable platform infrastructure and stable interfaces
Drive execution of business plans and projects, supervise and develop associates, evaluate performance, and support company policies and initiatives

Requirements

What you’ll need

10+ years of software engineering experience, with meaningful depth in platform, infrastructure, or foundational systems
Hands-on experience designing and shipping production LLM-based systems, including agent orchestration, tool use, RAG pipelines, multi-step reasoning, or structured output generation
Strong software engineering fundamentals, including clean API design, distributed systems patterns, async execution, fault tolerance, and observability
Experience designing extensible plugin or extension systems with stable, versioned contracts and well-defined conformance expectations
Proficiency in Python and familiarity with the AI/ML ecosystem
Ability to reason about latency, throughput, and cost tradeoffs in inference-heavy workloads
Knowledge of separation of concerns, dependency inversion, layered design, and enforcement of contracts through code
Experience owning and operating multi-tenant systems with strict data isolation and access control requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area, OR 6 years’ experience in software engineering or related area
Preferred: Master’s degree in a relevant field and 2 years' experience in software engineering or related area
Preferred experience with LLM governance, AI safety frameworks, guardrails, or responsible AI patterns
Preferred background in semantic modelling, data mesh, or canonical data layers
Preferred prior work in platform engineering serving multiple product teams
Preferred familiarity with LangGraph, LangFuse, GoogleADK, CrewAI, or equivalent
Preferred experience defining and enforcing engineering standards across a team or organization

Benefits

Comp & perks

Incentive awards for performance
Maternity and parental leave
PTO
Health benefits