Back to SearchSenior/Lead AI Engineer
Remote in Colombia, & 3 others
AI Solution Engineering
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We are looking for a Senior/Lead AI Engineer to design, build, and scale end-to-end AI applications — including chatbots, agent workflows, and LLM-driven solutions. You will work directly with clients, drive technical decisions, and deliver production-grade AI systems that create real business impact.
Responsibilities
- Design and deploy AI/LLM applications at scale (RAG, agentic systems, Q&A platforms)
- Architect solutions using agentic frameworks, integrating with vector databases and advanced memory architectures
- Build APIs, data pipelines, and enterprise integrations (CRM, ERP, cloud platforms)
- Evaluate and refine AI performance using LLM-based evaluation, agent metrics, and A/B testing
- Ensure performance, security, observability, and cost-efficiency across deployed solutions
- Conduct research, rapid prototyping, and experimentation to validate feasibility and business value
- Stay current with emerging AI protocols (MCP, A2A, ACP) and evolving LLM technologies
Requirements
- 5+ years in AI/ML engineering with production-grade delivery experience
- Strong Proficiency in at least one modern programming language and web frameworks (Python, Java, Scala)
- Hands-on experience with major LLM platforms, agentic frameworks, and advanced integration patterns (RAG, agent orchestration, tool calling)
- Experience with vector databases, semantic/hybrid search, and retrieval/ranking systems
- Knowledge of MLOps/AIOps practices, monitoring, and security (including prompt injection prevention)
- Strong communication skills — able to translate complex AI concepts for both technical and non-technical audiences
- Ability to work independently, lead technical initiatives, and collaborate with cross-functional teams
Technologies
- Languages: Python, Java, C#, Go
- Web Frameworks: FastAPI, Streamlit, Gradio, Flask, Spring Boot, ASP.NET
- LLM Platforms: OpenAI, Anthropic, Amazon Bedrock, Gemini
- Agentic Frameworks: LangChain, LangGraph, Semantic Kernel, LlamaIndex, Strands Agents
- Vector Databases: Qdrant, FAISS, Chroma, Pinecone, Weaviate
- Cloud AI Platforms: Azure OpenAI, Amazon Bedrock, GCP Vertex AI
- Enterprise AI: AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry
- On-Premise: vLLM
- Protocols: MCP, A2A, ACP
- MLOps/AIOps, observability, and security/guardrail tools for AI applications