Posted 12 June, 2026
Sr. AI & Custom Apps Engineer
Tranzeal Inc.
Bangalore, Karnataka, IN
Full Time
Reference: 26-00198-1238-1
Job Title: Sr. AI & Custom Apps Engineer
Location: Bangalore, KA
Duties:
Your Career
Palo Alto Networks' IT Engineering team is looking for a AI & Process Automation Software Engineer with strong full-stack fundamentals and hands-on experience building AI-first solutions. This role requires depth in application development (TypeScript, NestJS, React, SQL) combined with the ability to design and deliver intelligent automation workflows using Industry latest AI platforms and not limited to Vertex AI. You will work at the intersection of modern web development, cloud native automation, and applied AI.
Your Impact
Architect and develop full-stack applications using TypeScript, NestJS, React, and relational databases, with a strong emphasis on testing and maintainability
Design and deliver agentic automation workflows using UiPath Maestro or equivalent orchestration tools, integrated into enterprise systems (SAP, Workday, Salesforce)
Build and extend AI services: production RAG pipelines (chunking/embedding strategy, retrieval patterns), Vertex AI/LangChain agents, and MCP server–based agent/tool orchestration
Establish evaluation and guardrails: offline/online evals, prompt/versioning strategy, PII handling, and quality/latency/cost observability
Use AI in the engineering workflow: leverage LLMs for code scaffolding, test generation, and documentation, with senior-level validation and architectural oversight
Apply cloud-native and DevOps best practices, including CI/CD, containerization, tracing/logging/metrics, and deployment on GCP
Collaborate with product managers and business stakeholders to translate complex requirements into scalable AI solutions
Mentor engineers across software, automation, and applied AI; codify reusable libraries, templates, and standards
Skills:
Your Experience
Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience)
8+ years in software engineering with 5+ years full-stack development (React, Node.js/NestJS, TypeScript/JavaScript, SQL/NoSQL)
Proven experience with agentic automation platforms (UiPath Maestro, n8n, or equivalent)
Hands-on with AI platforms and frameworks: Vertex AI, LangChain, RAG pipelines, embedding/vector databases, MCP servers, tool/function calling, and LLM orchestration
Proficiency in Python and TypeScript for automation and application development
Experience with cloud platforms (GCP preferred); CI/CD, testing frameworks, and production observability
Familiarity with enterprise platforms (SAP, Workday, Salesforce)
Ability to mentor and set technical direction, especially in applying AI responsibly to enterprise systems
Education:
8+ years in software engineering with 5+ years full-stack development (React, Node.js/NestJS, TypeScript/JavaScript, SQL/NoSQL)
Proven experience with agentic automation platforms (UiPath Maestro, n8n, or equivalent)
Hands-on with AI platforms and frameworks: Vertex AI, LangChain, RAG pipelines, embedding/vector databases, MCP servers, tool/function calling, and LLM orchestration
Location: Bangalore, KA
Duties:
Your Career
Palo Alto Networks' IT Engineering team is looking for a AI & Process Automation Software Engineer with strong full-stack fundamentals and hands-on experience building AI-first solutions. This role requires depth in application development (TypeScript, NestJS, React, SQL) combined with the ability to design and deliver intelligent automation workflows using Industry latest AI platforms and not limited to Vertex AI. You will work at the intersection of modern web development, cloud native automation, and applied AI.
Your Impact
Architect and develop full-stack applications using TypeScript, NestJS, React, and relational databases, with a strong emphasis on testing and maintainability
Design and deliver agentic automation workflows using UiPath Maestro or equivalent orchestration tools, integrated into enterprise systems (SAP, Workday, Salesforce)
Build and extend AI services: production RAG pipelines (chunking/embedding strategy, retrieval patterns), Vertex AI/LangChain agents, and MCP server–based agent/tool orchestration
Establish evaluation and guardrails: offline/online evals, prompt/versioning strategy, PII handling, and quality/latency/cost observability
Use AI in the engineering workflow: leverage LLMs for code scaffolding, test generation, and documentation, with senior-level validation and architectural oversight
Apply cloud-native and DevOps best practices, including CI/CD, containerization, tracing/logging/metrics, and deployment on GCP
Collaborate with product managers and business stakeholders to translate complex requirements into scalable AI solutions
Mentor engineers across software, automation, and applied AI; codify reusable libraries, templates, and standards
Skills:
Your Experience
Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience)
8+ years in software engineering with 5+ years full-stack development (React, Node.js/NestJS, TypeScript/JavaScript, SQL/NoSQL)
Proven experience with agentic automation platforms (UiPath Maestro, n8n, or equivalent)
Hands-on with AI platforms and frameworks: Vertex AI, LangChain, RAG pipelines, embedding/vector databases, MCP servers, tool/function calling, and LLM orchestration
Proficiency in Python and TypeScript for automation and application development
Experience with cloud platforms (GCP preferred); CI/CD, testing frameworks, and production observability
Familiarity with enterprise platforms (SAP, Workday, Salesforce)
Ability to mentor and set technical direction, especially in applying AI responsibly to enterprise systems
Education:
8+ years in software engineering with 5+ years full-stack development (React, Node.js/NestJS, TypeScript/JavaScript, SQL/NoSQL)
Proven experience with agentic automation platforms (UiPath Maestro, n8n, or equivalent)
Hands-on with AI platforms and frameworks: Vertex AI, LangChain, RAG pipelines, embedding/vector databases, MCP servers, tool/function calling, and LLM orchestration
