Locations

• Bulgaria
• Georgia
• Lithuania
• Mexico
• Moldova
• Poland
• Romania
• Ukraine

Company Background

Our client is a U.S.-based company specializing in software solutions for the roofing industry. Its flagship product enables homeowners and contractors to receive instant roofing quotes through an AI-driven platform. The company is dedicated to modernizing the roofing process through innovation, automation, and seamless user experiences.

Project Description

The project focuses on designing and delivering an intelligent voice-interaction system. The solution bridges the gap between digital lead generation and human sales engagement by enabling natural, AI-driven phone conversations with potential clients. The assistant will answer inquiries, schedule appointments automatically, and integrate seamlessly into a well-established SaaS platform for roofing contractors that automates quoting, lead management, and sales operations.

Technologies

• GenAI
• LLMs
• LangChain/LangGraph
• LlamaIndex
• AWS/Azure
• OpenAI/Azure Cognitive Services
• Whisper/Amazon Transcribe
• Amazon Polly
• Python (FastAPI)
• PyTorch and/or TensorFlow
• Twilio Voice API
• Qdrant/PostgreSQL (pgvector)/Pinecone
• GitHub Actions
• Docker
• Terraform
• Prometheus
• Grafana
• ELK
• DataDog
• OpenTelemetry

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions centered around LLMs, leveraging technologies like RAG, summarization, sentiment analysis, and reasoning;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP), utilizing infrastructure-as-code and monitoring tools;
• Work closely with data scientists, analysts, and business stakeholders to translate requirements into technical solutions;
• Mentor and guide junior engineers, fostering a culture of best practices and knowledge sharing;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 8+ years of experience in ML engineering, with at least 1 year of hands-on experience working with LLMs;
• Strong programming skills (Python), including production-level code development and API/service design;
• Hands-on experience with AWS (S3, EC2, Lambda, ECS, ECR, SageMaker, Bedrock, IAM, CloudWatch) and/or Azure (Blob Storage, Data Factory, Azure ML, Azure OpenAI);
• Strong proficiency in PyTorch, TensorFlow, and experience with MLflow for experiment tracking and model registry;
• Experience with LangChain/LangGraph, LlamaIndex and/or similar frameworks;
• Familiarity with Vector Databases such as Qdrant, PosgreSQL (pgvector), Pinecone, Weaviate, or FAISS;
• Experience with Git, CI/CD practices for ML and data pipelines;
• Familiarity with data governance, security, and compliance in cloud environments;
  
• Experience with Object detection models (YOLO, SDD) and Segmentation models (SAM2) is nice to have;
• Level of English - from B2 (spoken/written);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.