Medior Data/AI Engineer
Core
Building and maintaining AI-powered applications and workflows using large language models (LLMs), prompt engineering, and data pipelines to enable intelligent automation.
Role type
Medior Data/AI Engineer
Builds
AI agent solutions, automation workflows, and conversational interfaces
Domain
Telecommunications / Generative AI / Data Engineering
Deliverable
production ML models
Required skills
Python (FastAPI, Flask), SQL/NoSQL, Prompt Engineering, LangGraph, Retrieval-Augmented Generation (RAG), Context Management, API Development, Docker, Data Pipelines
Preferred skills
Fine-tuning (LoRA/QLoRA), Predictive Modeling (scikit-learn, XGBoost), LLM Evaluation, Microservices (REST, GraphQL), Spark/Kafka/Databricks/Snowflake
Technologies
LangGraph, OpenAI, Anthropic, FastAPI, Flask, Docker, Spark, Kafka, Databricks, Snowflake, scikit-learn, XGBoost
Responsibilities
Design and optimize prompts for LLMs; Implement context management strategies (session memory, RAG); Integrate and test LLMs within Python applications; Build and maintain conversational and agent workflows; Maintain backend services, APIs, and data pipelines; Participate in technology evaluations for scalable solutions.
Seniority
Mid-level, hands-on IC