Middle/Senior Forward Deployed Engineer (Python, AI)

What You Bring

• Mid-level hands-on technical experience, including client-facing capacity.
• For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods.
• A demonstrated record of delivering production software used by real users and business teams.
• Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production.
• Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
• Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation.
• Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs.
• Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems.
• Understanding of human-in-the-loop control design and where human review should remain within automated workflows.
• Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines.
• Experience building and deploying solutions on AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns.
• Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO.
• High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements.
• Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains.
• A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution.
• The ability to communicate effectively with both executive and technical audiences.
• Strong technical writing skills, with the ability to explain complex concepts clearly and precisely.
• Commercial judgment and the ability to connect technical decisions to measurable business value.
• Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data.
• Fluent English communication skills.
• Willingness to travel approximately 25–50% and work onsite in client environments.

Nice to have

English level

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