Senior AI Evaluation Engineer

LTM Inc
United States
6 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework AI Evaluation Java (Programming Language) A/B Testing Amazon Web Services Amazon S3 COBOL (Programming Language) Continuous Integration Data Control IBM DB2 Identity and Access Management Spring Framework
+13 more
Python (Programming Language) Regression Testing Datadog Data Logging Evaluation Pipelines Retrieval-Augmented Generation Large Language Models Sybase AgentCore Agentic-AI CrewAI Functional Programming Cloudwatch

Job description

· Design and operate end-to-end evaluation frameworks for agentic AI systems (offline regression, online monitoring, A/B testing)

· Define quality rubrics, scoring architectures, and evaluation standards across multi-agent workflows

· Build LLM-as-judge and Agent-as-judge pipelines assessing trajectory, tool-call accuracy, groundedness, and safety

· Own and deliver evaluation infrastructure end-to-end; mentor teams and uplevel customers on evals best practices

Requirements

· GenAI Experience (Level 400) with Advanced Python

· Experience building production grade systems

· Hands-on experience with agent evaluation: offline/on-demand regression testing and online/continuous live-traffic scoring

· LLM-as-judge proficiency: rubric design, scoring at session, response, and tool-call granularity

· Core eval metrics: task completion, tool-call accuracy, trajectory quality, groundedness, safety

· Agentic framework experience (Strands, LangGraph, CrewAI or similar)

· AWS Bedrock (Models, Guardrails) + CloudWatch; Lambda, S3, IAM fundamentals

Should Have

· Bedrock AgentCore Evaluations (on-demand SDK runner, online monitoring, A/B testing)

· Agent-as-a-Judge framework; HITL evaluation pipelines

· Benchmarking frameworks (tau-bench, SWE-bench, GAIA) and custom dataset construction

· RAG quality evaluation (faithfulness, context precision, recall)

· CI/CD integration for eval regression; observability tooling (tracing, structured logging)

· Legacy technology familiarity (Java/Spring, Sybase, DB2, or COBOL) as source context for agentic modernization or integration pattern design

· Financial services or regulated-industry experience (compliance-aware delivery: trade surveillance, data controls, audit requirements)

· Large-scale portfolio delivery experience - reusable patterns or components applied across 50+ applications, including wave planning and throughput measurement

About the company

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Loading talks and stories from around this role…