Software Engineer (1 - 2 years of experience in Python, GenAI, ML, Deep Learning)

Visa
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: []

Build and operate core components of Visa AI Studio’s AI Engineering Platform, including large-scale batch scoring and high-throughput data pipelines for model training and feature generation. Create self-service APIs, SDKs, and tooling so engineers and data scientists can train, fine-tune, deploy, evaluate, and monitor models and agents. Design agent runtimes and orchestration for safe production tool use, and embed governance, monitoring, and observability across the platform.

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FursaFursa
Visa
Visa
14 hours ago

Software Engineer (1 - 2 years of experience in Python, GenAI, ML, Deep Learning)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and operate core components of Visa AI Studio’s AI Engineering Platform, including large-scale batch scoring and high-throughput data pipelines for model training and feature generation. Create self-service APIs, SDKs, and tooling so engineers and data scientists can train, fine-tune, deploy, evaluate, and monitor models and agents. Design agent runtimes and orchestration for safe production tool use, and embed governance, monitoring, and observability across the platform.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Entry level

Key Responsibilities

  • •Design, build, and operate the AI Engineering Platform Batch Platform, including scheduled/on-demand batch scoring and offline model execution.
  • •Build self-service APIs, SDKs, and tooling for engineers and data scientists to train, fine-tune, deploy, evaluate, and monitor models and agents.
  • •Design and extend agent runtimes and orchestration primitives for tool calling, memory, planning, and multi-agent coordination.
  • •Build and maintain infrastructure for large-scale distributed training and high-throughput batch processing with efficient GPU/compute utilization.
  • •Embed governance, responsible AI, audit, and monitoring capabilities (e.g., drift, hallucination, anomaly detection) and evolve cloud-native infrastructure layers.

Key Requirements

  • •Bachelor's degree OR 3+ years of relevant work experience.
  • •Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
  • •Solid understanding of core machine learning/deep learning concepts including model training, evaluation, transformer/foundation model architectures, and embeddings.
  • •Strong systems and software engineering fundamentals including distributed systems and API/SDK design, plus cloud infrastructure (e.g., Kubernetes and AWS/Azure/GCP).
  • •Proficiency in at least one language commonly used in AI/platform engineering (e.g., Python, Java).
Experience:AIMachine learningDeep learningFoundation modelsLarge language models
Education:Bachelor's in Computer Science, Engineering, or related technical field
Tech Stack:PythonJavaKubernetesAWSAzureGCPAPISDKRAGEmbeddingsTransformersLLMsCoding agentsLLM-powered toolingFine tuningRetrieval augmented generation

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
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