AI Engineer

Data Science at TRACTIAN

The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products.

What You'll Do

We're seeking an experienced LLM Applications Engineer to design, develop, and deploy production-ready applications that harness the capabilities of large language models. In this role, you'll create robust APIs, implement intelligent information retrieval systems, and build resilient infrastructure that connects AI capabilities with real-world industrial applications.

Responsibilities

Design and develop user-facing applications powered by large language models
Create and maintain high-performance APIs that integrate LLMs with our platformImplement retrieval-augmented generation (RAG) systems for enhanced information access
Build intelligent document processing workflows using OCR and LLM technologies
Develop conversational interfaces that solve practical problems for our users
Ensure system reliability with fallback mechanisms for provider outages
Collaborate with product teams to define requirements and technical specifications

Requirements

1-4 years of experience in software engineering with a focus on backend development
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent technical field
Demonstrated experience building applications that utilize large language models
Strong proficiency in Python and experience with web frameworks like FastAPI, Flask, or Django
Experience designing, building, and maintaining production REST APIs
Working knowledge of relational databases and SQL
Familiarity with LLM orchestration tools such as LangChain or LangGraph
Experience with vector embeddings and information retrieval systems
History of shipping code to production environments

Preferred Qualifications

Experience with LLM fine-tuning and model optimization techniques
Knowledge of containerization and microservices architecture
Experience with OCR and document processing technologies
Understanding of performance optimization for AI applications

Technical Skills

Programming: Python and/or Golang
Frameworks: FastAPI, Flask, Django
LLM Tools: LangChain, LangGraph
API Development: REST, OpenAPI
Databases: PostgreSQL, Redis, vector databases
LLM Integration: OpenAI, Anthropic, and other providers
Information Retrieval: Vector embeddings, semantic search
Document Processing: OCR, PDF parsing

Key Skills

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