Джерело: CrawlJobs
Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Senior Software Engineer (Java FullStack + Agentic Ai)

Altisource Bengaluru, Індія
Повна зайнятість Робота на місці

Дата публікації: 03.09.2026

At Altisource (NASDAQ: ASPS) we build world-class technologies and services for the mortgage and real estate industry, and are well poised to help revolutionize how homes are bought, sold and managed. In the US, we partner with 7 out of the top 10 mortgage servicers, operate one of the top three real estate auction websites, and manage a cooperative which represents 15%+ market share of the $1.8tn US Originations market.

We are looking for an experienced Java Developer with strong expertise in backend development, cloud

technologies, and emerging AI-powered automation. The ideal candidate will have hands-on experience

building scalable applications using Java, Spring Boot, and Hibernate, along with deep exposure to AWS

Cloud services and practical experience designing, developing, or integrating with Agentic AI systems —

autonomous AI agents that plan, reason, and execute multi-step workflows with minimal human

intervention.

Core Development

Design, develop, and maintain robust backend applications using Java, Spring Boot, and Hibernate

Build and integrate RESTful APIs and event-driven services for seamless communication between

microservices and AI agents

Deploy and manage applications on AWS Cloud infrastructure

Ensure code quality, performance optimization, and adherence to best practices

Agentic AI & Generative AI

Design and implement AI agent workflows — building autonomous agents that can plan, execute multi-

step tasks, invoke tools, and handle exceptions without constant human oversight

Develop agent orchestration patterns — manage agent-to-agent handovers, state persistence, retry

logic, and fallback strategies in multi-agent systems

Integrate with foundation model APIs (AWS Bedrock, OpenAI, or equivalent) for LLM-powered reasoning,

decision-making, and natural language understanding within agent pipelines

Build tool-use and function-calling interfaces that allow AI agents to interact with databases, APIs,

document stores, and external services

Implement human-in-the-loop patterns — confidence thresholds, escalation triggers, and approval

workflows where agents defer to humans on low-confidence decisions

Develop event-driven agent architectures using message queues (SQS/SNS, EventBridge, or Kafka) for

async agent communication and workflow orchestration

Collaboration & Quality

Collaborate with cross-functional teams (product, data science, QA) to deliver high-quality AI-powered

solutions

Participate in prompt engineering, agent behavior tuning, and accuracy evaluation

Contribute to AI-assisted development workflows using tools like Kiro, Copilot, or similar AI IDEs

REQUIRED SKILLS & EXPERIENCE

Requirements

Experience - 4–6 years of professional experience in backend/full-stack development; Core Backend - Strong proficiency in Java (11+), Spring Boot, and Hibernate/JPA; APIs - Hands-on experience designing and integrating RESTful APIs and webhook-based integrations; Cloud (AWS) - Working knowledge of AWS services — EC2, S3, Lambda, SQS/SNS, EventBridge,API Gateway, Cognito; Agentic AI - Experience building or integrating with autonomous AI agent systems — multi-step workflows, tool-use patterns, agent orchestration, state management; Generative AI - Hands-on experience with LLM APIs (AWS Bedrock, OpenAI, Anthropic, orsimilar) — prompt engineering, function calling, structured output parsing; Databases - Proficiency with relational databases (PostgreSQL, MySQL) — schema design,query optimization; Architecture - Understanding of event-driven and microservices architecture patterns; Problem-Solving - Excellent analytical, problem-solving, and communication skills
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