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Engineer, Technology Deployment
4 weeks ago
Job Title - AI Engineer Job Type – Contract (6 months) with extension possibility Location – Remote As an AI Engineer, you will design, build, and operate agentic AI features end to end. You will take ideas from concept to production by shaping data flows, implementing agent workflows, deploying services, and instrumenting robust evaluation and observability. Develop production-grade Python services (e.g., FastAPI/Flask) and reliable data pipelines (SQL, DBT) that power agents and tools Build and optimize RAG pipelines to ground agents in enterprise data Establish evaluation harnesses with frameworks like Langfuse, Langsmith, and complementary tools—leveraging LLMs as judges for unit, regression, and release-gate evaluations Collaborate closely with product, design, and ML partners to turn ambiguous problems into clear milestones and measurable outcomes Expert in Python, strong at manipulating data , and skilled at writing clean, efficient, production-ready code Comfortable with data-engineering fundamentals, including SQL, schema design, ETL/ELT patterns, and orchestrators such as Airflow Thinks in terms of reusability and modularity, building components that are clean, composable, and easy to extend Understands the basics of AI evaluation and has used Langfuse or a similar framework to trace, score, and compare runs Experience with vector databases and retrieval (e.g., Comfortable with system observability (OpenTelemetry, Prometheus/Grafana) and performance profiling Understands security and privacy basics for handling user data (PII minimization, redaction, authN/Z) The client is offering an exciting opportunity to be part of in space of GenAI and competitive rate. If you're excited about building AI systems that directly impact millions of users, click "apply now" to submit your resume, or reach out for a confidential conversation.
