Engineer

About the job

About the Role : Key Responsibilities • Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems. • Implement observability across the AI lifecycle: tracing, logging, metrics, and evaluation pipelines to monitor agent quality, cost, and reliability. • Translate business problems into agentic AI solutions by collaborating with product, SMEs, and platform teams on data, model, and orchestration requirements. • Develop and maintain data pipelines, features, and datasets for training, evaluation, grounding, and safety of LLM-based agents. • Lead experimentation and benchmarking: Testing of prompts, models, and agent workflows; analyze results and drive iterative improvements. • Implement guardrails, safety checks, and policy controls across prompts, tool usage, access, and output filtering to ensure safe and compliant operation. • Create documentation, runbooks, and best practices; mentor peers on agentic AI patterns, observability-first engineering, and data/ML hygiene. Core Skills Required • Proficiency in programming languages such as Python with strong software engineering fundamentals. • Solid understanding of LLM/GenAI fundamentals: prompting, embeddings, vector search, RAG, and basic agentic patterns (tool use, planning, orchestration). • Experience running production systems or data pipelines on cloud computing platforms such as AWS/Azure/GCP , using containers, serverless, and managed storage/services. • Hands-on familiarity with observability tools (OpenTelemetry, Prometheus, Grafana, ELK, etc.) across logs, metrics, and traces. • Comfort working with structured and unstructured data; strong SQL plus experience with Pandas/Spark/dbt or similar frameworks. • Ability to reason clearly about reliability, performance, and cost trade-offs. • Strong collaboration and communication skills; ability to translate complex concepts for platform, product, data, security, and compliance teams. Qualifications • 3-6 years of experience in software engineering, data engineering, ML engineering, data science, MLOps roles. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.

Requirements

• Python
• Observability
• Data Engineering
• LLM/GenAI

Preferred Technologies

• Python
• Observability
• Data Engineering
• LLM/GenAI

About the company

Our mission is advancing essential intelligence. We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.