Senior Data/AI Engineer
Core
Design, develop, and deploy enterprise-grade AI systems and agentic workflows using LLMs, prompt engineering, and context management to automate complex business operations.
Role type
Senior Data/AI Engineer (LLM & Agentic Systems)
Builds
Production-grade AI agents, conversational workflows, and scalable data pipelines for intelligent automation.
Domain
Telecommunications / Generative AI / Large Language Models
Deliverable
production ML models | product features
Required skills
Fullstack Python, Prompt Engineering, LLM Integration, Context Management, Agentic Frameworks (LangGraph), RAG Implementation, API Development, Cloud Infrastructure, Data Pipelines (Spark/Kafka/Snowflake), Fine-tuning (LoRA/QLoRA)
Preferred skills
Statistics and Machine Learning, Model Evaluation (LLM-as-a-judge), Retrieval Optimization, AI-powered IDEs
Technologies
Python, FastAPI, Flask, LangGraph, OpenAI, Anthropic, Spark, Kafka, Databricks, Snowflake, Docker, SQL, NoSQL, REST, GraphQL
Responsibilities
Design and optimize prompts for LLMs to achieve contextually relevant outputs; Develop and maintain context management strategies including session memory and RAG; Integrate and support fine-tuning of LLMs in Python-based applications; Build and test conversational and agent workflows using frameworks like LangGraph; Develop backend services and APIs to deliver end-to-end AI applications; Support testing, monitoring, and evaluation pipelines for system performance.
Seniority
Senior, hands-on IC
