1 month ago
Noida, IndiaSenior / Staff+
Responsibilities
- Design and build AI agents and workflows for reconciliation, audit preparation, reporting, analytics, exception handling, and incident automation.
- Implement agentic workflows using Java with Spring AI or Python-based orchestration.
- Integrate Claude/Anthropic, OpenAI, Gemini, or equivalent model APIs using secure enterprise patterns.
- Build workflow orchestration with platforms such as n8n, Temporal, Camunda, Airflow, or equivalent technologies.
- Integrate payment, finance, reporting, case-management, and data platforms through APIs, events, queues, and data pipelines.
- Implement tool calling, structured outputs, validation rules, deterministic checks, business-rule guardrails, and human-in-the-loop approval and escalation processes.
- Create reusable connectors, workflow templates, agent patterns, prompts, test harnesses, and engineering standards.
- Ensure workflows are deployable, observable, versioned, auditable, secure, and compliant.
- Identify automation opportunities and quantify effort reduction, cycle-time improvements, and control benefits.
- Collaborate with Payments operations, backend engineering, architecture, platform, compliance, risk, and audit teams.
Requirements
- 5–8 years of software engineering, backend development, integration engineering, or automation experience.
- At least 2 years of experience building LLM, generative AI, machine-learning, or agentic applications.
- Experience taking AI solutions from proof of concept into controlled production environments.
- Experience integrating multiple enterprise systems through APIs, events, messaging, or workflow engines.
- Experience designing exception handling, approval workflows, and operational controls.
- Strong Java with Spring Boot/Spring AI and/or Python with FastAPI or equivalent framework experience.
- Experience with Claude/Anthropic APIs, OpenAI APIs, or equivalent, including prompt design, tool/function calling, and structured outputs.
- Experience with agentic frameworks such as LangGraph, LangChain, Spring AI, MCP, Semantic Kernel, or AutoGen.
- Experience with workflow automation platforms such as n8n, Temporal, Camunda, or Airflow.
- Experience with REST APIs, event-driven integration, Kafka or RabbitMQ, API gateways, SQL, and data pipelines.
- Experience with Docker, Kubernetes, Git, automated testing, CI/CD, logging, monitoring, and secure configuration management.
- Experience with unit and integration testing, LLM evaluation, prompt and version management, validation, fallback, retry, and audit logging.
- Preferred experience includes Payments or banking operations, payment standards and systems, RAG architectures, embeddings, vector databases, document intelligence, enterprise knowledge systems, cloud-native development, regulated workflows, data privacy, PCI DSS, or financial controls.
Tech Stack
Apache AirflowApache KafkaAWSAzureDockerFastAPIGitGoogle Cloud PlatformJavaKubernetesPythonRabbitMQSpring BootSQLSwift
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