Middle Backend Developer (PHP · AWS Lambda · AI)

BEAR CLAW, INC.
Wilmette, IL, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Query Performance PHP (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Automation of Tests Code Review Relational Databases Software Debugging Python (Programming Language) PostgreSQL MySQL
+21 more
Performance Tuning Query Optimization Software Engineering Large Language Models Llamaindex Generative AI AWS Lambda Indexer Backend Agentic-AI Git Cloudformation Front End Software Development Virtual Agents Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Software Version Control Serverless Computing Docker

Job description

Bear Claw is an AI-powered recruiting and applicant tracking platform built to help recruiters work smarter and place top talent faster. Our platform brings the entire recruiting workflow into one system - from candidate and job management to team collaboration, sourcing, and outreach. At the center is Cora, our conversational AI assistant, which uses vector search and LLM-powered technology to identify candidate-job matches, surface opportunities, and help recruiters take action faster. Bear Claw combines powerful recruiting technology with practical AI to make the hiring process more efficient, intelligent, and scalable., We’re looking for a Middle Backend Developer to join our engineering team and help build and scale the services that power our product. You’ll spend most of your time working in PHP on a serverless architecture built with AWS Lambda, backed by MySQL. Alongside our core backend, we’re investing heavily in AI-driven features - so you’ll also support and extend our AI Agent functionality, which is written in Python and backed by PostgreSQL.

This is a hands-on role for someone who writes clean, reliable, well-tested code, cares about doing things the right way, and is excited to build scalable solutions that make use of AI. You’ll have real ownership over the features you ship and room to grow toward more senior technical work.

What You’ll Do

  • Design, build, and maintain backend services in PHP running on AWS Lambda (serverless).
  • Model, query, and optimize data in MySQL - including schema design, indexing, and query performance.
  • Support, maintain, and extend our AI Agent functionality written in Python and backed by PostgreSQL.
  • Build scalable solutions that leverage AI/LLM capabilities, turning new AI features from prototype into production-grade services.
  • Write high-quality, maintainable code that follows engineering best practices - clear structure, tests, and sensible patterns.
  • Participate actively in code reviews, both giving and receiving constructive feedback.
  • Integrate third-party APIs and internal services reliably and securely.
  • Monitor, debug, and optimize the performance, reliability, and cost of serverless functions.
  • Contribute to technical discussions, documentation, and continuous improvement of our codebase and processes.
  • Collaborate closely with product, frontend, and other engineers to deliver features end to end.

Requirements

  • Roughly 2-4 years of professional backend development experience.
  • Strong, practical experience with PHP in a production environment.
  • Hands-on experience with AWS Lambda or serverless architecture (and comfort with the AWS ecosystem generally).
  • Solid MySQL skills: relational data modeling, writing efficient queries, and troubleshooting performance.
  • Working knowledge of Python - enough to confidently read, support, and extend the AI agent codebase.
  • Familiarity with PostgreSQL.
  • Good understanding of REST APIs, version control (Git), automated testing, and general software best practices.
  • Genuine interest in AI/LLM-based features and a willingness to grow your skills in that area.
  • Strong problem-solving skills, attention to detail, and the ability to work independently on well-scoped tasks.

Nice to Have

  • Prior experience building or integrating AI agents / LLM-powered features (e.g. LangChain, LlamaIndex, or similar frameworks, and prompt/tooling design).
  • Experience with additional AWS services: API Gateway, SQS, S3, AuroraDB, CloudWatch, Lambda, SNS.
  • Familiarity with event-driven / message-queue architectures.
  • Experience with Docker, CI/CD pipelines, and Infrastructure as Code (CloudFormation).
  • Exposure to vector databases or retrieval-augmented generation (RAG).
  • Comfort working across two language stacks (PHP + Python) without friction.

Benefits & conditions

  • Competitive base salary and comprehensive benefits package, including healthcare, vision, dental, and a 401(k).
  • Work closely with like-minded industry professionals dedicated to innovation and success.
  • Strong company culture of high performance and quality customer care.

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