AI Enginner
Há 2 dias
Porto, Portugal
Senovo IT Ltd
Tempo integral
110 000 € - 150 000 € Contrato
Grátis com e-mail ou Google
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Senovo IT is looking for Forwarded Deployed AI Engineer for one of our clients based in Switzerland.
- Duration: Initial 12-months contract + potential extension
-
Location:
fully remote from EU
Key Responsibilities
- Typically 7+ years delivering software, data, analytics or AI products, with a proven track record of rapid prototyping and delivering measurable outcomes.
- Strong hands-on AWS expertise with Bedrock, AgentCore, Lambda, S3, API Gateway and IAM. An AWS-native engineer, not a general cloud engineer with AWS exposure.
- Strong Python and SQL skills across data engineering, AI application development and API integration.
- Experience building and evaluating production-grade GenAI and agentic solutions, including RAG, vector search, tool calling, orchestration and LLM evaluation.
- Experience with Snowflake or equivalent cloud data platforms, including modelling complex multi-source datasets for AI-driven applications.
- Ability to independently take MVPs from problem framing through architecture, development, evaluation and executive readout.
- Pharmaceutical commercial domain knowledge across Commercial, Medical Affairs and Value & Access preferred, with the ability to engage business stakeholders credibly from week one.
- Proven experience acting as the technical lead or SPOC for executive-sponsored initiatives and communicating effectively with senior leadership.
- Experience operating in regulated environments, with strong understanding of security, privacy, access controls, auditability and AI governance.
- Duration: Initial 12-months contract + potential extension
-
Location:
fully remote from EU
Key Responsibilities
- Typically 7+ years delivering software, data, analytics or AI products, with a proven track record of rapid prototyping and delivering measurable outcomes.
- Strong hands-on AWS expertise with Bedrock, AgentCore, Lambda, S3, API Gateway and IAM. An AWS-native engineer, not a general cloud engineer with AWS exposure.
- Strong Python and SQL skills across data engineering, AI application development and API integration.
- Experience building and evaluating production-grade GenAI and agentic solutions, including RAG, vector search, tool calling, orchestration and LLM evaluation.
- Experience with Snowflake or equivalent cloud data platforms, including modelling complex multi-source datasets for AI-driven applications.
- Ability to independently take MVPs from problem framing through architecture, development, evaluation and executive readout.
- Pharmaceutical commercial domain knowledge across Commercial, Medical Affairs and Value & Access preferred, with the ability to engage business stakeholders credibly from week one.
- Proven experience acting as the technical lead or SPOC for executive-sponsored initiatives and communicating effectively with senior leadership.
- Experience operating in regulated environments, with strong understanding of security, privacy, access controls, auditability and AI governance.