This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - REMOTE. This role plays a key part in shaping the future of intelligent infrastructure automation through agentic AI. You will contribute to the development of an AI-driven automation platform that enhances the capabilities of enterprise IT teams and managed service providers worldwide. By leveraging cutting-edge technologies such as large language models and intelligent agents, you will create impactful solutions that improve operational efficiency. If you have a passion for innovation and an ownership mindset, this position provides the opportunity for significant growth and continuous learning.
Accountabilities
Design 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 quality
Requirements
6+ 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 environments
Benefits
Medical, dental, and vision — 100% paid for employees, 50% paid for dependentsLife and disability insurance — 100% paid for employees401(k) — 3% contribution, no employee contribution requiredEducation and tuition reimbursement — up to $50,000 annuallyEmployee Stock Options PlanAccident, critical illness, and hospital indemnity coverageEmployee Assistance ProgramLegal assistancePaid Time Off — up to 6 weeks per yearSick Leave — up to 2 weeks per yearParental Leave — up to 12 weeks
