Sentinel
Back End Developer
Skills
1 month ago
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Important information
Contract type:
Freelance / Contract
Work mode:
Onsite
Published on:
20 September 2026
What they need
Job title: Backend Engineer
Engagement type: B2B, Freelance
Location: Remote (EU)
Start date: ASAP
Seeking a Backend Engineer with strong Python, Snowflake and AI/agent development experience to join a global pharma company.
This role sits at the intersection of backend engineering, data platforms and GenAI, with a particular focus on enabling AI agents to work with enterprise data.
Responsibilities
- Build and maintain scalable Python backend services and APIs
- Develop data-driven solutions using Snowflake and SQL
- Work with Snowflake Cortex Analyst and Text-to-SQL capabilities
- Build and integrate AI agents using LangChain or similar frameworks
- Develop agent tools, skills and API integrations
- Apply prompt engineering techniques to improve AI/agent performance
- Work across data platforms and DataOps environments
- Implement monitoring, evaluation and instrumentation using tools such as MLflow and DeepEval
- Optimise application performance, reliability and cloud/data costs
- Collaborate with data, AI and engineering teams to take solutions from development into production#
Requirements
Must-have
- 4+ years of professional software/data engineering experience
- Strong Python development skills
- Strong Snowflake and SQL experience
- Hands-on experience with Cortex Analyst and/or Text-to-SQL solutions
- Practical experience building agentic AI solutions
- Experience with LangChain or a similar agent framework
- Experience with prompt engineering
- Experience developing agent tools, skills and API integrations
- Background in Data Platform / DataOps engineering
- Experience with MLflow and/or DeepEval
- Strong understanding of backend services, APIs, scalability and performance optimisation
Nice to have
- Experience with semantic layers
- Knowledge Graph experience
- RAG implementations
- AWS or other cloud platform experience
- Experience within pharma/commercial data environments
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