AI / Cloud Full Stack Developer
Full-stack developer at Omega CRM (a Merkle/dentsu Salesforce & CXM services firm in Spain) to design, build, and deploy LLM-based assistants/agents and RAG pipelines for customer-facing teams, running on AWS (Bedrock, AgentCore) with Pulumi IaC, Python/TypeScript backends, and React frontends.
- Compensation
- Not disclosed
- Location
- Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 20+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Demonstrable experience taking LLMs and agents into production (not just prototypes)
- Strong command of RAG: chunking, embeddings, vector search, and evaluation
- Solid knowledge of AWS, particularly Bedrock and AgentCore
- Cloud development experience: serverless, containers, IAM, networking, CI/CD
- Infrastructure as Code with Pulumi
- Familiarity with backends in Python and/or TypeScript
- Frontends built with a modern framework (React or similar)
- Security best practices: OAuth/OIDC, secrets management, per-user permissions
- Experience with Model Context Protocol (MCP)
- LLM observability (Langfuse or similar) and automated evaluation
- Strong comprehension and analytical skills
- Very fast adaptation to emerging developments and tools
- Highly proactive mindset: proposes ideas rather than waiting for instructions
- Able to communicate in business terms and explain technical decisions to non-technical stakeholders
- Strong critical judgment regarding AI: uses it as a tool and validates its outputs
- Ability to understand the business model and broader purpose of the work
- Oral and written fluent English (+B2+)
Nice to have
- Knowledge of Salesforce
Full description
Omega CRM is a Merkle & Dentsu company, leader in development of Customer Experience services, with +20 years of experience in the use of Technology applied to Marketing and providing a unique Customer Relationship with mainly focus on Innovation is looking for a AI / Cloud Full Stack Developer.
We are building artificial intelligence solutions for customer-facing teams: assistants and agents that query data, reason over it, and help make day-to-day decisions, among other tasks.
We are looking for a full stack developer experienced with LLMs and AWS to design, build, and deploy these solutions into production.
What You Will Do
- LLM-based agents: Design and development with tool calling, memory, and orchestration.
- Documentation and information retrieval: Pipelines with embeddings, vector databases, RAG, and response quality evaluation.
- AWS solutions: Deployment and operations on Amazon Bedrock and AgentCore, using infrastructure as code.
- Full stack development and integrations: Backend (APIs, integrations, authentication), user interface, and integration with internal systems via MCP and APIs.
- Measure and improve: Observability, costs, latency, and response quality.
Skills & Experience
- Demonstrable experience taking LLMs and agents into production (not just prototypes).
- Strong command of RAG: chunking, embeddings, vector search, and evaluation.
- Solid knowledge of AWS, particularly Bedrock and AgentCore.
- Cloud development experience: serverless, containers, IAM, networking, and CI/CD.
- Infrastructure as Code with Pulumi.
- Familiarity with backends in Python and/or TypeScript, and frontends built with a modern framework (React or similar).
- Security best practices: OAuth/OIDC, secrets management, and per-user permissions.
- Experience with Model Context Protocol (MCP).
- LLM observability (Langfuse or similar) and automated evaluation.
- Strong comprehension and analytical skills.
- Very fast adaptation to emerging developments and tools.
- Highly proactive mindset: proposes ideas rather than waiting for instructions.
- Sufficient experience to communicate in business terms and explain technical decisions to non-technical stakeholders.
- Strong critical judgment regarding AI: uses it as a tool and critically validates its outputs.