A
Senior AI Engineer
Altimetrik Corp
3 hours ago
Full-time
On-site
Chicago, Illinois, United States
The Senior AI Engineer role supports Altimetrik Corp in Chicago, IL (hybrid) by designing, building, and validating moderate to complex AI and ML application solutions. The position includes work with LLMs and agent development on Google Vertex AI.
Key Responsibilities
Evaluate defined client area requirements and processes, including new enhancements or maintenance, then review detailed designs and develop moderate to complex application program solutions.
Maintain solution quality through peer code reviews, documentation, implementation, program logic verification, defect root cause analysis, and unit and integration testing.
Participate in systems testing in collaboration with other IT staff.
Support high-level solution design activities.
Consult with the client area to analyze system requirements and capabilities, identify associated risks, and resolve problems.
Serve as a liaison between client stakeholders and application areas when needed.
Research and evaluate new and/or alternative solutions, then recommend efficient and cost-effective approaches for systems and program design, including developing system specifications and procedures.
When applicable, integrate vendor applications and consulting resources into existing applications and resources.
Coordinate with operations technical staff to support implementation of applications into production and testing environments.
Collaborate with technical personnel to identify and resolve issues.
Required Skills and Qualifications
Senior-level proficiency in
Python , with experience in
AI/ML development .
Strong understanding of
Large Language Models (LLMs)
and their operational mechanics.
Experience building
AI Agents on Google Vertex AI
using
Gemini
or
OpenAI .
Expertise in
Prompt Engineering Best Practices .
Familiarity with
Google Agent Development Kit
(ADK).
Working knowledge of
LangChain
and
LangGraph .
Knowledge of
Context Filtering
and
Prompting Security Best Practices .
Experience with observability and debugging tools: LangSmith
LangFuse
Phoenix
or
Arize
Experience with
Eval AI
testing and model evaluation workflows.
Technologies
Python
AI/ML
Large Language Models (LLMs)
Google Vertex AI
Gemini
OpenAI
Google Agent Development Kit
LangChain
LangGraph
Context Filtering
Prompting Security Best Practices
LangSmith
LangFuse
Phoenix
Arize
Eval AI
Location and Work Arrangement Chicago, IL (Hybrid)
with
3 days onsite . Work location is
in person .
Benefits
Relocation assistance
#J-18808-Ljbffr
Key Responsibilities
Evaluate defined client area requirements and processes, including new enhancements or maintenance, then review detailed designs and develop moderate to complex application program solutions.
Maintain solution quality through peer code reviews, documentation, implementation, program logic verification, defect root cause analysis, and unit and integration testing.
Participate in systems testing in collaboration with other IT staff.
Support high-level solution design activities.
Consult with the client area to analyze system requirements and capabilities, identify associated risks, and resolve problems.
Serve as a liaison between client stakeholders and application areas when needed.
Research and evaluate new and/or alternative solutions, then recommend efficient and cost-effective approaches for systems and program design, including developing system specifications and procedures.
When applicable, integrate vendor applications and consulting resources into existing applications and resources.
Coordinate with operations technical staff to support implementation of applications into production and testing environments.
Collaborate with technical personnel to identify and resolve issues.
Required Skills and Qualifications
Senior-level proficiency in
Python , with experience in
AI/ML development .
Strong understanding of
Large Language Models (LLMs)
and their operational mechanics.
Experience building
AI Agents on Google Vertex AI
using
Gemini
or
OpenAI .
Expertise in
Prompt Engineering Best Practices .
Familiarity with
Google Agent Development Kit
(ADK).
Working knowledge of
LangChain
and
LangGraph .
Knowledge of
Context Filtering
and
Prompting Security Best Practices .
Experience with observability and debugging tools: LangSmith
LangFuse
Phoenix
or
Arize
Experience with
Eval AI
testing and model evaluation workflows.
Technologies
Python
AI/ML
Large Language Models (LLMs)
Google Vertex AI
Gemini
OpenAI
Google Agent Development Kit
LangChain
LangGraph
Context Filtering
Prompting Security Best Practices
LangSmith
LangFuse
Phoenix
Arize
Eval AI
Location and Work Arrangement Chicago, IL (Hybrid)
with
3 days onsite . Work location is
in person .
Benefits
Relocation assistance
#J-18808-Ljbffr