Senior Software Developer- Java and AI

Role & responsibilities

Job Title: Senior Software Developer with GenAI (58 years experience)

insurance domain

Key Responsibilities

• Full-Stack Feature Ownership

• Own features

  end-to-end

  in a complex product: requirements analysis, design, implementation, testing, deployment, and production support.
• Build and maintain

  backend services in Java and Python

  and

  responsive UIs in Angular

  , working across the stack as the feature demands.

• Workflow & Automation Engineering

• Design and implement

  business process workflows using Camunda

  (BPMN/DMN) and integrate them with backend services and UI components.
• Build

  automation and integration flows in n8n

  , connecting internal services, third-party APIs, and AI components.

• AI-Driven SDLC & Applied GenAI

• Use

  AI-assisted development tools

  across the SDLC: coding, refactoring, test generation, code review, debugging, and documentation.
• Integrate

  GenAI features

  (e.g., summarization, extraction, classification, conversational assistants) into the product using LLM APIs, prompt engineering, and RAG patterns.
• Apply sound practices for

  validating, testing, and guardrailing AI-generated code and AI-powered features

  .

• Collaboration & Quality

• Partner with product managers, QA, and designers to refine requirements and deliver in Agile sprints.
• Write clean, well-tested, maintainable code; participate actively in design and code reviews.

Qualifications

• Education

  : Bachelors/Masters in CS/IT or equivalent industry experience (5+ years in software development, with exposure to GenAI).

• Technical Mastery

  :

• Languages

  : Java, Python, TypeScript/JavaScript.

• Frameworks & Platforms

  : Spring Boot (or similar Java framework), a Python web framework (FastAPI/Flask/Django), Angular,

  Camunda

  (7 or 8), and

  n8n

  .

• Data & Integration

  : REST APIs, messaging/event-driven patterns, and relational databases (plus NoSQL familiarity).

• Cloud & DevOps

  : Working knowledge of AWS, Azure, or GCP; CI/CD pipelines; Docker.

• GenAI & AI-Driven SDLC Familiarity

  :
• Proficient with

  AI coding assistants

  (e.g., GitHub Copilot, Claude Code, Cursor) and integrating them into a daily development workflow.
• Working knowledge of

  LLM APIs

  (OpenAI, Azure OpenAI, or similar),

  prompt engineering

  , and basic

  RAG

  concepts, including embeddings and vector search.

Must-Have Experience

• Full-Stack, Polyglot Development

  :
• Hands-on delivery across

  Java, Python, and Angular

  within a single product.
• Experience building or integrating

  Camunda workflows

  and/or

  n8n automations

  .

• High-Impact Projects

  :
• Owned

  features end-to-end in a complex, multi-component product

  , from design to production.
• Delivered at least one

  GenAI-enabled feature

  (e.g., document processing, AI assistant, intelligent automation) to production, or demonstrably applied AI tooling to improve delivery speed and quality.
• Experience working in

  Agile

  teams with CI/CD and automated testing practices.

Preferred Qualifications Additions

• Insurance domain experience (strongly preferred)

  : familiarity with workflows such as underwriting, claims, policy administration, or financial operations; experience in other regulated domains is also valued.
• Familiarity with

  agentic workflow patterns

  and orchestrating LLM calls within n8n or Camunda processes.
• Exposure to

  vector databases

  and basic LLM evaluation or guardrail techniques.
• Certifications (nice to have):

• Azure

  : Microsoft Certified: Azure AI Fundamentals / Azure Developer Associate.

• AWS / GCP

  : Cloud Practitioner or Associate-level developer certification.

• Camunda

  : Camunda Certified Developer.