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Solution Architect (ConTech)

Moldova

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.

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