Senior Software Engineer (AI / LLMs)

Our client is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. They are a small but rapidly growing organization, offering significant opportunities for growth and continuous learning.Our client is committed to fostering a diverse and inclusive work environment as a fundamental component of their business. They believe diversity and inclusion are the bedrock of creativity and innovation. By embracing unique experiences, perspectives, and cultural backgrounds, they strive to create an environment where every team member feels respected, valued, and empowered.Senior Software Engineer — Agentic AI PlatformLocation: RemoteEmployment Type: Full-timeCompensation: CompetitiveOur client is building the future of intelligent infrastructure automation through agentic AI. They are seeking a Senior Backend Engineer to help design and build the systems that power an AI-driven automation platform used by enterprise IT teams and managed service providers worldwide.This is a high-impact, zero-to-one engineering role focused on building backend foundations for large-scale AI orchestration. You will work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents.What You’ll DoDesign and implement backend services that enable intelligent agent workflows and autonomous infrastructure actionsDevelop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelinesBuild scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructureIntegrate with AWS Bedrock and other LLM platforms to support multi-model capabilitiesDevelop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant)Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflowsCollaborate closely with Product and DevOps teams to design architecture diagrams, plan deployments, and monitor system healthWrite clean, maintainable code with clear documentation and strong adherence to security and performance best practicesParticipate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and qualityWhat We’re Looking For6+ years of backend engineering experience in production environmentsStrong proficiency in Python and TypeScript for building distributed, event-driven systemsDeep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI modelsFamiliarity with vector databases and concepts such as embeddings, similarity search, and retrieval-augmented generationExperience with infrastructure-as-code tools such as Terraform or AWS CDKStrong understanding of SQL and schema migration workflows (PostgreSQL or similar)Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflowsAbility to diagram systems, communicate architecture decisions clearly, and work effectively in a distributed teamStrong ownership mindset and ability to deliver in fast-moving, ambiguous environmentsBonus PointsExperience working with LangChain, OpenAI, or Anthropic APIsFamiliarity with agentic frameworks or AI orchestration systemsBackground in observability or APM tooling (e.g., Datadog, Dynatrace)Prior experience building automation or infrastructure management toolsContributions to open-source LLM or MLOps projectsInterest in applying AI to real-world IT operationsWhy JoinYou’ll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments.This is an opportunity to help architect the foundation of a platfo ... (truncated, view full listing at source)