GenAI/AI Engineer - Consultant/Senior Consultant at Sales Consulting
Timișoara, Bucharest, Romania -
Full Time


Start Date

Immediate

Expiry Date

15 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, FastAPI, Data Science, AI, Machine Learning, Statistical Analysis, Data Preprocessing, Model Training, Deep Learning, Docker, SQL, PostgreSQL, GitLab, Azure, Large Language Models, Infrastructure as Code

Industry

Human Resources Services

Description
Tasks Develop and optimize APIs using Python and FastAPI for AI-driven chatbot systems; Integrate internal knowledge bases with relational databases such as PostgreSQL; Deploy and manage scalable applications using Azure Cloud Services (Blob Storage, CosmosDB, App Service, Functions); Ensure smooth communication between services, databases, and APIs; Containerize applications using Docker to enable consistent development and deployment; Collaborate with teams on version control and CI/CD processes using GitLab; Perform basic Linux VM tasks related to cloud environment setup and deployment; Contribute flexibly to a variety of AI projects, including generative AI, deep learning, and data science initiatives; Qualifications Must-Have: Strong Python development skills, especially for API development with FastAPI; Strong background in Data Science and AI, including experience with machine learning algorithms, statistical analysis, data preprocessing, model training and evaluation, as well as practical knowledge of deep learning frameworks and techniques; Experience with Docker containerization and deployment; Experience with SQL and familiarity with PostgreSQL or similar databases; Knowledge of GitLab for version control and basic CI/CD pipelines; Cloud knowledge, preferably Azure, for deploying and managing applications. Nice to Have: Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG); Experience with Data Engineering; Experience with OpenAI, LangChain, LangGraph, Ragas and other chatbot development frameworks; Experience with Infrastructure as Code (IaC) tools; Experience with Agentic AI systems and autonomous agent frameworks.
Responsibilities
Develop and optimize APIs for AI-driven chatbot systems and integrate internal knowledge bases with relational databases. Deploy and manage scalable applications using Azure Cloud Services and ensure smooth communication between services, databases, and APIs.
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