Agentic AI Engineer- onshore (backfill)
- Compensation
- Not disclosed
- Location
- Chicago, USA
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- This role requires a blend of critical thinking and hands-on development skills to build modular Python systems that leverage state management, workflow orchestration, and large language models (LLMs)
- Job Duties:
- Agentic & Workflow Engineering: Design and implement modular Python systems using LangGraph and LangChain to manage state, configuration, and complex workflow orchestration.
- Code Modernization: Design AI workflows for reverse and forward engineering, including code analysis, summarization, and dependency transformation.
- RAG & Vector Operations: Build and maintain high-performance Retrieval-Augmented Generation (RAG) pipelines and database operations for storing dependency matrices and workflow results.
- Multi-LLM Integration: Integrate and optimize various LLMs (e.g., Gemini, Claude, GPT-4, Vertex AI) for code analysis and automated generation.
- Database Management: Manage data persistence using PostgreSQL with the pgvector extension, including schema management and efficient similarity searches.
- Robust Tooling: Develop utilities for file handling, model operations, and ensuring robust logging and error handling across applications.
Nice to have
- Preferred Pluses: * Experience with Knowledge Graphs.
- Familiarity with Java and React tech stacks for cross-language workflows.
- Prior experience in insurance, finance, or regulated enterprise environments.
Full description
Senior AI Engineer
Seeking a Senior AI Engineer to serve as an embedded technical expert within a client’s engineering team. You will be a key member of the team developing and optimizing advanced, AI-driven solutions for a code modernization platform. This role requires a blend of critical thinking and hands-on development skills to build modular Python systems that leverage state management, workflow orchestration, and large language models (LLMs) to modernize complex software systems.
Required Skills
This role requires a blend of critical thinking and hands-on development skills to build modular Python systems that leverage state management, workflow orchestration, and large language models (LLMs) to modernize complex software systems.
Job Duties:Agentic & Workflow Engineering: Design and implement modular Python systems using LangGraph and LangChain to manage state, configuration, and complex workflow orchestration.
Code Modernization: Design AI workflows for reverse and forward engineering, including code analysis, summarization, and dependency transformation.
RAG & Vector Operations: Build and maintain high-performance Retrieval-Augmented Generation (RAG) pipelines and database operations for storing dependency matrices and workflow results.
Multi-LLM Integration: Integrate and optimize various LLMs (e.g., Gemini, Claude, GPT-4, Vertex AI) for code analysis and automated generation.
Database Management: Manage data persistence using PostgreSQL with the pgvector extension, including schema management and efficient similarity searches.
Robust Tooling: Develop utilities for file handling, model operations, and ensuring robust logging and error handling across applications.
Desired Skills:
Preferred Pluses: * Experience with Knowledge Graphs.
Familiarity with Java and React tech stacks for cross-language workflows.
Prior experience in insurance, finance, or regulated enterprise environments.