AI Engineer

System Soft

United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Big Data Business Software Spreadsheets Software as a Service Cloud Computing Databases System Configuration Information Engineering

+22 more

Data Stores Data Visualization Python (Programming Language) Knowledge Management Machine Learning Metadata Power BI Cloud Services Search Technologies Software Engineering SQL Databases Tableau (Software) Enterprise Search Software Organization Large Language Models Prompt Engineering Model Validation Generative AI AI Platforms Machine Learning Operations Api Design Software Version Control

Job description

Designing and developing AI-enabled applications and intelligent search solutions.
Building and maintaining document ingestion, content processing, and knowledge management workflows.
Implementing retrieval, search, filtering, and ranking capabilities
Developing prompts, orchestration logic, and response frameworks for AI applications.
Building metadata models and information structures that improve retrieval quality.
Configuring AI systems to provide transparent, grounded, and reliable responses.
Developing integrations between AI services, data repositories, cloud platforms, and business applications.
Testing and validating AI outputs for quality, consistency, relevance, and usability.
Troubleshooting retrieval, search, prompt, and performance issues

Requirements

3+ years of software engineering, AI engineering, machine learning, data engineering, or related experience
Strong proficiency in Python.
Experience building AI-enabled applications using large language models (LLMs).
Experience working with APIs, cloud services, and application integration.
Familiarity with retrieval-augmented generation (RAG), semantic search, enterprise search, vector databases, or similar technologies
Understanding of prompt engineering and grounding techniques.
Experience processing structured and unstructured content, including documents, spreadsheets, reports, websites, PDFs, and databases.
Experience designing systems that leverage metadata, search, filtering, and knowledge retrieval.
Understanding of software development best practices including source control, testing, documentation, and deployment
Familiarity with SQL and database principles., * Experience with Azure AI, Azure OpenAI, AWS AI services, Claude, OpenAI, or comparable AI platforms.
Experience developing AI assistants, copilots, chat applications, or intelligent search solutions.
Familiarity with machine learning workflows and model evaluation techniques
Experience with document processing, knowledge management, or enterprise search platforms.
Experience with Power BI, Tableau, or other visualization tools.
Familiarity with cloud application architecture and secure enterprise environments.
Experience working with large-scale data integration projects.