Softblues

Looking senior PHP developer, for modern and huge e-Commerce project.

Requirements

• Over 5 years of hands-on PHP experience;
• PHP 8+, Symfony, Laravel
• Jenkins, Prometheus, Grafana, Kibana
• PHPUnit, Postman
• MongoDB, MySQL, PostgreSQL
• AWS, Kubernetes, Docker, Git
• SQS, SNSг
• We also use practices such as Pair Programming, Refactoring, Code Reviews, Weekly Knowledge Sharing sessions, TDD/BDD, A/B testing and Continuous Delivery which are an important part of our development process
   

Responsibilities

• You’ll team up with product managers and teams to refine and roll out new features.
• You will take responsibility in the design and execution of your own initiatives
• You’ll spot ways to improve the codebase and pitch in to make it better.
• You’ll often pair up with colleagues for code reviews, sharing feedback to sharpen skills and enhance the platform.
• You’ll tackle and fix key bugs or issues flagged in the system.
• You’ll join weekly coding or knowledge-sharing sessions, either leading or listening in.
• You’ll grow your soft skills, dive into best practices, and chat tech with your peers.

We’re looking for a skilled and experienced Full-Stack Developer to join our team, working on projects involving LLMs, using Next.js, and React Native as well. The ideal candidate brings a solid background in software development, AI/ML, and modern web and mobile technologies. The Developer will be responsible for building and maintaining applications and infrastructure that leverage LLM and other AI technologies to create innovative solutions for the project in Healtech domain.

Responsibilities: 

• Develop and maintain applications using Python, with a focus on integrating AI/LLM. 
• Design, build, and deploy machine learning models. 
• Implement ETL processes using AWS GlueJobs/Azure Functions to process and transform large datasets. 
• Collaborate with cross-functional teams to define, design, and ship new features and enhancements. 
• Optimize applications for maximum performance, scalability, and maintainability. 
• Troubleshoot, debug, and resolve software defects and issues. 
• Write clean, maintainable, and well-documented code. 
• Participate in code reviews and contribute to improving code quality. 

Project for Healtech startup in Silicon Valley. Direct cooperation with CEO, that's why we're looking for someone available for meetings till 8pm CET.

Requirements: 

• 4+ years of experience in software development using Python.  
• 2+ years of experience in software development using Next.js and React Native
• Hands-on experience with AWS services or Azure Cloud Platform 
• Familiarity with ETL processes and data transformation. 
• Strong knowledge of web services, API development, and RESTful APIs. 
• Proficient understanding of code versioning tools, such as Git. 
• Excellent problem-solving skills and attention to detail. 
• Strong verbal and written communication skills. 
• Knowledge of frameworks and libraries such as Pandas, FastAPI, etc. 
• Upper-Intermediate or higher level of English. 

Role Summary: A specialist in building agentic systems using the LangChain framework. Responsible for creating reliable, secure, and scalable agents that connect to various CMS, ERP systems, external databases, different communication systems, and other data sources to perform actions.

Key Responsibilities:

• Develop AI agents using the LangChain framework.
• Integrate agents with CMS, ERP systems, external databases, and communication platforms (e.g., email, messaging apps).
• Ensure the reliability and security of agent interactions.
• Optimize agents for scalability and high performance.
• Collaborate with IT teams to align agent functionalities with business needs.
• Incorporate continuous improvement strategies based on user feedback.
   

Skills and Qualifications:

• Proficiency in the LangChain framework and agent-based AI development.
• Experience with CMS, ERP system integrations, and communication systems.
• Strong programming skills in relevant languages (e.g., Python).
• Knowledge of database connectivity, API integrations, and communication protocols.
• Understanding of security best practices in AI deployments.
   

According to the technical stack of one of our current projects:
Python, Langchain, LlamaIndex, Azure

The product is a US-based no-code platform that helps creators, makers, and influencers monetize their activities.

Requirements

• Design & build highly scalable, high performance, responsive web applications.
• Take full ownership and responsibility for building, shipping, and maintaining core product features, end to end.
• Help out in building  the backend infrastructure.
• Opportunity to scale and automate existing services while bringing 
  new innovations to life
• Translation of requirements, designs and wireframes into high quality code.
• Identify and squash bugs
• Collaborate closely with designers, engineers, founders and product managers.

• Desired Skills & Experience:
  5+ years of production experience with modern web frameworks - Ruby on Rails.
• Should be comfortable with database schema design and leveraging SQL & NoSQL (PostgreSQL, MySQL, CouchDB, DynamoDB).
• Experience developing, consuming and transforming internal and 3rd party API's (REST and GraphQL).
• Experience with code quality and reusability practices (CI/CD for back-end & front-end repos).
• Solid foundation in data structures, algorithms, distributed systems, design patterns.
• Strong understanding of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, and agile development.
• Nive to have sound experience in developing scalable / distributed SaaS apps.
• Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.
  Bachelor’s degree in Computer Science or equivalent experience.
  
   

Rails v4.2.x, MySQL 5.7 (soon to be 8.0), Sidekiq, Redis, bunch of outdated gemsRails is here to stay, so ideally if you are:

a) can understand the Rails system to help implement features
b) will improve things on the way (i.e. leave things better than they found them)
c) understand and riff on where a/b fit in the larger picture of breaking things out of Rails
d) can work vertically (read: full stack) in re: understanding how data flows to/from Rails and the rest of the stack
e) ideally is comfortable outside of Ruby and has some prior experience in both Typescript/Javascript, Python, and ops / infra


 

About Product 

We develop cutting-edge AI-powered recommendation systems for e-commerce and real estate sectors. Our solutions help clients create personalized user experiences using modern artificial intelligence technologies.

How it works?
The ETL pipeline forms the foundation of our system, efficiently processing store product data through four key stages: raw data extraction from e-commerce platforms, preprocessing for standardization, thorough validation, and structured saving into our database ecosystem. This ensures all product information, including descriptions, specifications, and images, maintains consistent quality and format for downstream processing.

Our system utilizes a sophisticated multi-database approach where the Products Database stores core product information, complemented by vector databases for semantic search capabilities. The Products Metadata maintains structured categorization of items and their attributes, while Store Metadata holds essential business information about shipping, returns, and FAQs. User Context Data captures and maintains session information for personalized shopping experiences.
 

The Context Manager serves as the central orchestrator of our platform, coordinating all agent interactions and managing session data flow. It ensures seamless communication between different AI agents and maintains user context throughout the shopping journey, enabling personalized and contextually relevant product recommendations.
 

Our system employs a network of specialized AI agents working in harmony: the Recommendation Agent generates precise product searches using LLM-powered SQL queries, the Q&A Agent provides detailed product information, while the Alternatives and Bought Together Agents suggest complementary items. The Result Enrichment Agent enhances product descriptions, and the Related Query Agent generates relevant follow-up questions to better understand customer needs.
 

The Comparison Agent provides comprehensive product analysis by examining both similarities and differences between items. It processes multiple products simultaneously and merges the results into clear, actionable insights, helping customers make informed purchasing decisions through detailed product comparisons.
 

Responsibilities

System Development and Support

• Design and develop ETL pipelines for processing data from various sources
• Create and optimize multi-component database architecture (relational and vector databases)
• Develop and integrate AI agents for various tasks: recommendations, Q&A, alternatives analysis
• Implement context management systems for coordinating AI agents' operations
   

AI/ML Development

• Develop and optimize LLM-powered systems for generating SQL queries based on natural language
• Create semantic search systems using vector databases
• Implement personalization algorithms and contextual recommendations
• Develop result enrichment systems using AI
   

Requirements

Technical Skills

• Strong proficiency in Python
• Experience with modern Large Language Models (LLMs)
• Experience in developing and optimizing ETL pipelines
• Deep understanding of recommendation systems principles
• Experience with vector and relational databases
• REST API development skills
   

Knowledge Base

• Understanding of machine learning and deep learning principles
• Knowledge of Natural Language Processing (NLP) methods
• Experience with semantic search systems
• Understanding of multi-agent system principles
   

Work Experience

• 2+ years of experience in developing production ML systems
• Experience in creating scalable recommendation systems
• Practical experience integrating AI solutions into existing business processes
   

Nice to Have

• Experience with e-commerce platforms
• Knowledge of real estate sector specifics
• Experience with microservice architecture
• ML systems performance optimization skills
   

Benefits

• Work on innovative AI projects
• Opportunity to influence architecture and technology stack
• Professional growth in AI/ML field
• Work with modern technologies and tools
  
   

Key Projects You'll Work On
 

E-commerce Recommendation System

• Develop intelligent product discovery modules using natural language processing
• Create smart Q&A widgets for product pages
• Implement sophisticated "bought together" recommendation algorithms
• Build context-aware user session management systems
   

Real Estate Recommendation System

• Create property matching systems based on natural language queries
• Develop property comparison and analysis tools
• Implement intelligent follow-up question generation
• Build systems for maintaining search context throughout the user journey
   

Technical Environment

• Multi-database ecosystem including vector databases for semantic search
• LLM-powered SQL query generation systems
• ETL pipelines for structured and unstructured data
• Context management and orchestration systems
• AI agents network architecture