Senior AI Engineer

$1000 welcome bonus

Requirements:

• 5+ years of experience in software engineering, with 3+ years focused on production-grade AI/ML engineering.
• Proven experience building and deploying multi-agent systems or complex agentic AI applications.
• In-depth knowledge of inter-agent communication models (centralised/decentralised) and protocols.
• Expertise in microservice architecture and building RESTful/gRPC APIs.
• Expert proficiency in Python (or similar modern language) for AI development.
• Extensive hands-on experience with AWS for MLOps and application deployment (e.g., Lambda, SageMaker, Bedrock, ECR, EKS, Step Functions).
• Good grasp of containerisation (Docker/Kubernetes) and Infrastructure as Code (IaC) tools like Terraform or AWS CDK.
• Strong understanding of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.
• At least Upper intermediate English level.

Nice to Have Skills and Qualities (Desirable)

• We’re not just looking for a coder; we’re after a resourceful engineer and a technical advocate who can shape our future.
• Advanced Data Structures: Experience with knowledge graphs and vector databases (e.g., Pinecone, ChromaDB) for sophisticated agent memory and long-term contextual management.
• Full Stack AI: Familiarity with the full AI lifecycle, including model development, evaluation, and fine-tuning using frameworks like PyTorch or TensorFlow, to better support Data Science colleagues.
• Ethical AI and Governance: A keen awareness and practical experience in implementing AI ethics, bias mitigation, and safety guardrails (e.g., AWS Guardrails for Amazon Bedrock) in autonomous systems.
• High-Performance Computing: Experience with optimising model serving latency and managing compute costs for large-scale, high-throughput agent interactions.
• Academic Rigour: A strong academic background in Computer Science, Artificial Intelligence, or a related field, demonstrating a solid theoretical foundation.
• Engineering Leadership: Demonstrable grit and adaptability—a proven ability to self-start, overcome significant technical hurdles, and champion new, emerging research and tooling in a rapidly evolving field.
• Communication & Stakeholder Management: Exceptional aptitude for explaining complex agentic design and technical trade-offs to business stakeholders and non-technical colleagues.

Responsibilities:

• Design and Architect Multi-Agent Systems: Lead the end-to-end design and implementation of the multi-agentic AI solution, defining agent roles, responsibilities, and the overall system architecture.
• Develop and Implement Inter-Agent Protocols: Establish and enforce robust inter-agent communication protocols (e.g., message brokers, REST/gRPC APIs, or specialised protocols like FIPA, MCP, A2A) to ensure seamless and efficient collaboration and coordination between autonomous agents.
• Microservices Development: Build and maintain scalable, high-performance microservices to house individual agent logic and tools, integrating seamlessly with existing enterprise systems.
• AWS Cloud Deployment: Leverage AWS-centric services (e.g., Amazon Bedrock, Lambda, SageMaker, EKS, DynamoDB, SQS/SNS) to deploy, orchestrate, and manage the multi-agent system securely and at scale.
• Tool Integration: Equip agents with the necessary tools and APIs (internal and external) to perform complex tasks, including data retrieval, real-world actions, and system updates.
• Beyond Java: Work proficiently with multiple programming languages, with a focus on Python for AI/ML components, alongside other relevant non-Java languages to meet architectural needs.
• MLOps and Governance: Implement best-practice MLOps/AIOps for agents, focusing on continuous monitoring, logging, governance, and maintaining a robust deployment pipeline (CI/CD).
• Mentorship and Collaboration: Mentor junior engineers and collaborate effectively with Data Scientists, Software Architects, and business stakeholders.

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) — after the trial period.
• Internal education(corporate library, Udemy courses).
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.