PDE II - Backend

Job Requirements

About Phenom

Phenom is an Applied AI company transforming how people discover and choose work. Our Intelligent Talent Experience platform helps global enterprises attract, engage, hire, and develop talent through AI-driven automation and deeply personalized experiences.

Our mission is to help a billion people find the right work.

Phenom powers talent experiences for some of the world's largest organizations, enabling them to deliver intelligent interactions for candidates, employees, recruiters, and hiring managers across the entire talent lifecycle. Our platform processes millions of talent interactions globally, combining artificial intelligence, large-scale data platforms, and modern cloud infrastructure to drive better hiring outcomes.

Our engineering teams build AI-native enterprise SaaS products at scale, solving complex challenges in distributed systems, large-scale data processing, personalization, and automation.

About The Role

We are looking for a highly skilled Backend Java Developer (PDE II) to join our

Interview Intelligence product engineering team. You'll build the backend systems

that capture, process, and analyze interviews at scale — powering AI-driven, real-time

insights that help companies hire better. You'll work on high-throughput, event-driven

services and real-time AI workflow pipelines, and play a key role in designing and

building scalable backend systems, microservices, and APIs across our product ecosystem.

This role is ideal for engineers who are strong at system design, excited by agentic and

AI-driven workflows, work fluently in an AI-augmented development environment, and thrive

in a fast-paced, high-growth product environment where they can take ownership, innovate,

and solve complex engineering challenges.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Java & Spring Boot
• Build event-driven microservices and real-time data/insights pipelines with high
  
  

performance and reliability

• Design, build, and productionize AI/LLM-powered and agentic workflows — including
  
  

orchestration, evaluations, and guardrails

• Build APIs using REST, WebSockets, and streaming protocols
• Collaborate with product managers, architects, and front-end developers to define
  
  

technical solutions

• Write clean, testable, and maintainable code, and apply strong judgment when
  
  

reviewing and shipping AI-assisted code

• Optimize application performance, security, and scalability
• Participate in design discussions, code reviews, and technical architecture decisions
• Troubleshoot production issues and contribute to root-cause analysis & resolution,
  
  

backed by strong observability practices

• Work in an Agile environment leveraging CI/CD, automated testing, and cloud
  
  

deployment workflows

Required Skills

• 4–6 years of hands-on backend development experience
• Strong hands-on experience in Java, Spring Boot, and Microservices architecture
• Strong system-design fundamentals and ability to design distributed, scalable systems
• Hands-on experience building event-driven systems with Kafka (or similar messaging /
  
  

event-streaming platforms)

• Experience building and productionizing AI/ML & LLM-powered systems — agentic
  
  

workflows, AI workflow pipelines, and real-time insights pipelines

• Practical experience with the AI engineering toolkit: RAG and vector databases,
  
  

context/prompt engineering, and evaluations & guardrails for LLM outputs

• Familiarity with LLM observability and cost/latency/token management in production
• Experience building real-time / streaming and media-processing systems
• Ability to work effectively in an AI-augmented engineering workflow, with strong
  
  

judgment in reviewing and validating AI-generated output

• Proficiency with REST APIs, WebSockets/streaming, distributed systems, and
  
  

multi-threading concepts

• Experience with SQL & NoSQL databases — PostgreSQL and MongoDB
• Hands-on experience with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure)
• Strong understanding of Git, CI/CD pipelines, and build tools (Maven/Gradle)
• Experience with unit testing frameworks (JUnit, Mockito) and a test-automation mindset
• Familiarity with observability tooling (metrics, logging, tracing) and production
  
  

monitoring

• Strong problem-solving skills
  
  

Nice to Have

• Experience with agent orchestration frameworks (LangChain / LangGraph-style or
  
  

equivalent in-house systems)

• Familiarity with Redis, ElasticSearch
• Exposure to container orchestration, service mesh, and advanced observability tools
• Experience working in a high-scale SaaS or startup product environment
• Understanding of DDD, TDD, and Clean Architecture principles
  
  

Soft Skills

• Ownership and bias for action
• Curiosity and continuous learning mindset
• Strong communication and teamwork skills
• Ability to work in fast-paced environments with small agile teams
  
  

Education

• B.Tech in Computer Science or related field (or equivalent experience)