Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 2 Nov 2026

Software Development Engineer - Technical Lead, Visa Assist AI Platform

Visa Bengaluru, IN Hybrid senior full-time

The employer hasn't listed a salary.

Apply on Visa

Description

Visa is looking for a Software Development Engineer - Technical Lead to lead the technical vision and delivery of the Visa Assist AI platform. You will be a hands-on, technically deep, and influential engineer who owns the technical vision and delivery of a multi-agent AI architecture serving Visa's client-facing channels , Chat, Email, and Portal.

Key Responsibilities:

  • Collaborate with business stakeholders and leadership to interpret and translate requirements across the full VisaAssist portfolio
  • Translate business requirements into strategic roadmaps and tactical solutions
  • Lead system design and architecture, personally architecting and building core infrastructure components
  • Drive program delivery across the full VisaAssist portfolio
  • Write production code daily (60%+ of time), personally implementing the most complex features across the full stack
  • Establish and lead engineering standards by implementing reference patterns for the Python / FastAPI / LangChain / Pydantic v2 stack
  • Implement LangChain agent patterns including multi-hop MCP and dynamic schema composition
  • Apply advanced debugging techniques to resolve the hardest production issues
  • Design and implement observability strategies using OpenTelemetry, Prometheus, and LangSmith
  • Build operational resilience , implement NATS messaging failure recovery patterns, manage platform uptime, and drive SLA adherence
  • Lead code reviews and enforce coding standards
  • Partner with cybersecurity teams to address security assessments and implement solutions
  • Mentor and develop engineers through hands-on pair programming, code reviews, and technical guidance
  • Remain current in skills by continuously evaluating emerging agentic AI frameworks, MCP protocol evolution, and RAG advancements
  • Forecast labor and support fiscal planning
  • Keep stakeholders and leadership informed of progress across epics, program delivery milestones, and overall platform health

Requirements:

  • 11-15 years' work experience with a Bachelor's Degree or with an Advanced Degree (e.g. Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD
  • Experience in Java EE technologies, Open-Source frameworks including Spring, React, JavaScript, HTML5, and Web Services (REST/RPC)
  • Experience on microservices, containerization, and ability to quickly build and drive team to support future systems
  • Experience evaluating business requirements and translating them into technical design documents
  • Experience in Design Patterns and data modelling
  • Experience in Kafka and other No-SQL databases
  • Solid understanding and experience working with Database systems like MySQL and MSSQL
  • Experience working on application servers like Apache Tomcat, OS platforms like UNIX, Windows, and Linux
  • Experience with build automation tools including Maven/Gradle/Jenkins/Grunt
  • Exposure and good knowledge on web application security
  • Experience in version control tools: BitBucket, Git or similar

Skills

Required

Nice to have

  • Expert-level Python development
  • async/await architectures
  • high-performance API design (FastAPI)
  • advanced type systems (Pydantic v2)
  • serialization optimization (orjson)
  • LLM integration patterns
  • agentic AI frameworks (LangChain)
  • RAG pipeline architecture
  • intent classification systems
  • prompt engineering at scale
  • Model Context Protocol (MCP) JSON-RPC 2.0
  • REST API design
  • Server-Sent Events (SSE)
  • mTLS
  • OAuth2
  • event-driven architectures
  • NATS/Kafka messaging systems
  • agent-to-agent communication patterns
  • distributed caching
  • connection pooling
  • failover strategies
  • Kubernetes orchestration strategies
  • Docker security hardening
  • CI/CD pipeline design
  • cloud-native deployment patterns
  • observability architectures
  • OpenTelemetry (distributed tracing)
  • Prometheus (metrics/alerting)
  • LLM-specific tooling (LangSmith)
  • PCI-DSS compliance requirements
  • security architecture (mTLS, OAuth2, API Key management)
  • input guardrails design (injection prevention, SSRF, CSAM)
  • log redaction strategies for sensitive data
Apply on Visa