Senior Backend Engineer - Java & Python (2 Positions)

About the Roles

Senior Backend Engineer

Generative AI systems and LLMs

secure, high-performance, and extensible backend components

deep backend engineering skills

Key Responsibilities

Backend Services & Architecture

• Design, develop, and maintain backend services and APIs using

  Java (Spring Boot)

  and

  Python (FastAPI)

  .
• Architect systems for

  scalability, security, and performance

  in microservices/cloud-native environments.
• Implement

  modular service layers

  to support domain logic, integrations, and cross-cutting concerns.

Database Performance & Scaling

• Optimize

  PostgreSQL

  schemas, queries, indexes, and connections for high-performance data access.
• Architect

  scalable data models and sharding/partitioning strategies

  for large datasets.
• Proactively monitor and troubleshoot

  database performance bottlenecks

  .

API Design & Data Access

• Build secure, versioned

  RESTful APIs

  (GraphQL experience is a plus) for web, mobile, and AI integrations.
• Implement structured

  API contracts

  with proper governance, validation, and observability.
• Ensure data access follows

  RBAC/ABAC principles

  and supports multi-tenant contexts.

LLM & AI Integration

• Integrate with

  LLM platforms (OpenAI, Anthropic, Hugging Face, etc.)

  to expose AI-powered capabilities via backend services.
• Build

  RAG (Retrieval-Augmented Generation)

  flows and streaming pipelines to support GenAI workflows.
• Collaborate with AI/ML engineers to expose model endpoints, prompt templates, and feedback loops via APIs.
• Manage vector databases (e.g.,

  pgvector, Pinecone

  ) and embed AI inference into core platform services.

Security & Best Practices

• Implement strong

  authentication/authorization

  using Spring Security, JWT, OAuth2, and SSO.
• Enforce backend

  security best practices

  , API rate-limiting, and protection against common vulnerabilities (OWASP).
• Drive code quality through

  unit testing, static analysis, and CI/CD workflows

  .

Collaboration & Mentorship

• Collaborate with

  product managers, frontend engineers, DevOps, and AI/ML teams

  to define architecture and roadmap.
• Mentor junior developers and conduct

  code reviews and design walkthroughs

  .
• Contribute to

  technical documentation, RFCs, and system design artifacts

  .

Required Skills and Qualifications

Core Backend Skills

• 5+ years of backend development experience with

  Java (Spring Boot)

  and

  Python (FastAPI or Flask)

  .
• Strong understanding of

  object-oriented design

  ,

  microservices

  , and distributed systems.

Data Engineering / Infrastructure Expertise

• Experience building and managing

  ETL pipelines

  for large-scale data ingestion.
• Strong experience with

  Elasticsearch / OpenSearch

  , schema design, indexing, and tuning.
• Deep knowledge of

  PostgreSQL performance optimization, scaling, partitioning

  , and replication.

API Design & Cloud-Native Architecture

• Proficiency in designing

  REST APIs

  ; familiarity with

  GraphQL

  is a plus.
• Experience with

  Docker, Kubernetes, Helm

  , and CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD.

Security & Performance

• Hands-on experience with

  Spring Security, OAuth2, JWT, and secure API practices

  .
• Familiarity with

  profiling, monitoring, and performance tuning tools

  (Prometheus, Grafana, etc.).

AI/LLM Integration (Preferred)

• Exposure to

  LLM integration

  (e.g., OpenAI, Hugging Face Transformers, LangChain).
• Experience with

  vector databases

  , embeddings, and

  RAG architectures

  .
• Understanding of

  AI observability, prompt logging, and feedback-driven refinement

  is a plus.

Preferred Qualifications

• Experience with

  event-driven architectures (Kafka, RabbitMQ)

  .
• Familiarity with

  serverless deployments

  (AWS Lambda, API Gateway).
• Exposure to

  data observability and anomaly detection tools

  .
• Prior work on

  LLMOps or GenAI product workflows

  is highly desirable.

Education

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

What We Offer

• Opportunity to work on mission-critical backend systems and data infrastructure.
• Competitive salary and comprehensive benefits package.
• Collaborative and innovative work environment with modern tools and processes.