🌟JoinKEYRUSand transform the future with us! 🌟
Who are we?
At Keyrus, we are passionate about innovation and technology. We are a French company with over 28 years of experience, present in 26 countries and with more than 3,500 consultants worldwide. In Colombia, we have been leading solutions indigital experienceanddata intelligencefor 8 years, helping companies evolve in the digital age.
🌍Do you like dynamic and challenging environments?
As Senior AI Engineer at Keyrus, your objetive would be to own the end-to-end definition and delivery of AI-driven solutions for our clients and internal teams, from business-case analysis and platform selection through architecture, prototyping, and production rollout, while setting technical standards, contributing to pre-sales, mentoring engineers, and shaping our agentic AI practice.
What You’ll Do:
Translate business objectives into AI solutions — work directly with clients and stakeholders (executives, managers, and technical teams) to understand challenges, quantify value, and define success metrics before building.
Lead platform and tooling decisions: evaluate and recommend the right approach for each use case, staying true to our vendor-agnostic DNA: AWS, Azure, Salesforce, a custom orchestration stack, and others, based on data gravity, integration, cost, governance, and time-to-value. Deliver clear trade-off analyses that executives and engineers both understand.
Architect agentic & generative AI systems: design multi-agent workflows, RAG pipelines, tool/function calling, memory and state management, guardrails, and human-in-the-loop fallbacks.
Build, hands-on: develop production-grade agents and automations with LangChain, LangGraph, Bedrock AgentCore, and other tools to integrate with enterprise systems (CRM, ERP) via APIs.
Own quality and reliability: implement evaluation pipelines, observability, prompt/version management; optimize latency, cost, and accuracy of inference.
Deliver PoCs, demos, and production solutions: move ideas from prototype to scaled deployment with proper CI/CD and AI and MLOps practices.
Contribute to pre-sales and solutioning: shape solution offerings, support proposals, and bring market knowledge and technical credibility to client conversations.
Lead and mentor: provide guidance to engineers and interns, define best practices, and help build and scale our AI practice.
Stay ahead: keep pace with a fast-moving field (new models, frameworks, MCP, agent protocols) and bring well-judged ideas to clients and teams.
What We’re Looking For (Mandatory Requirements)
Our ideal candidate brings a balance of technical skills, curiosity, and a consultative mindset:
Degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
5+ years in software/AI/data engineering, including hands-on experience shipping generative or agentic AI to production
Strong Python and solid software-engineering fundamentals (APIs, microservices, version control, testing).
Hands-on experience building AI agents / tool-using LLMs with an orchestration framework.
Practical experience with AWS AI services, especially Amazon Bedrock (foundation models, agents, guardrails) and the broader AWS stack (Lambda, API Gateway, S3, IAM).
Solid grasp of RAG, embeddings, chunking, hybrid/semantic search, reranking, evaluation, vector databases.
Proven ability to evaluate platforms objectively and make architecture decisions — and justify them to both technical and business audiences.
A consulting mindset: curiosity, ownership, structured communication, and a collaborative, teamwork-first attitude.
Desirable requirements (nice-to-have)
Hands-on experience with Salesforce Agentforce and Data 360.
Relevant certifications (e.g., AWS Certified AI/ML or Solutions Architect; Salesforce Agentforce / Platform credentials a bonus).
Experience comparing and integrating multiple agent platformswithin a single architecture.
Familiarity with responsible AI, model governance, security, and guardrails in enterprise settings.
Experience with Anthropic Claude, Claude Code, Skills, Plugins, and MCP servers.
Industry domain knowledge (financial services, retail, supply chain, healthcare).
Knowledge of regulatory and privacy frameworks (e.g., GDPR).
Exposure to front-end (React) for building demos and copilots.
Experience in a consulting / client-facing environment is highly valued.
We want you to feel part of Keyrus from the very beginning! 🤝
Why Keyrus?
We are a Great Place to Work 🏆
At Keyrus we work 100% remotely, with the possibility of 10-20% travel depending on the position 🌐
We offer achallenging environment, where you will work with cutting-edge technologies in theworld of consulting💡
We have competitive benefits and multiple opportunities for professional growth📈
Join us at Keyrus!🌟
If you want to know more about the company, we invite you to visit our website:https://keyrus.com/latam/es/home
Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.
See you in the process!
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