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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 actions
- Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines
- Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure
- Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities
- Develop 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 workflows
- Collaborate closely with Product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health
- Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices
- Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality
Requirements
- 6+ years of backend engineering experience in production environments
- Strong proficiency in Python and TypeScript for building distributed, event-driven systems
- Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)
- Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models
- Familiarity with vector databases and concepts such as embeddings, similarity search, and retrieval-augmented generation
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK
- Strong understanding of SQL and schema migration workflows (PostgreSQL or similar)
- Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows
- Ability to diagram systems, communicate architecture decisions clearly, and work effectively in a distributed team
- Strong ownership mindset and ability to deliver in fast-moving, ambiguous environments
Benefits
- Medical, dental, and vision — 100% paid for employees, 50% paid for dependents
- Life and disability insurance — 100% paid for employees
- 401(k) — 3% contribution, no employee contribution required
- Education and tuition reimbursement — up to $50,000 annually
- Employee Stock Options Plan
- Accident, critical illness, and hospital indemnity coverage
- Employee Assistance Program
- Legal assistance
- Paid Time Off — up to 6 weeks per year
- Sick Leave — up to 2 weeks per year
- Parental Leave — up to 12 weeks
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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