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Senior Software Engineer – AI, LLMs at G2i | JobVerse
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Senior Software Engineer – AI, LLMs
G2i
Remote
Website
LinkedIn
Senior Software Engineer – AI, LLMs
United States
Full Time
2 days ago
$120,000 - $160,000 USD
No H1B
Apply Now
Key skills
AWS
Cloud
Docker
Microservices
Postgres
Python
SQL
Terraform
TypeScript
AI
LLM
Qdrant
Pinecone
GitHub Actions
ECS
AWS CDK
Lambda
S3
CloudWatch
Bedrock
PostgreSQL
GitHub
CI/CD
About this role
Role Overview
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
Tech Stack
AWS
Cloud
Docker
Microservices
Postgres
Python
SQL
Terraform
TypeScript
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
Apply Now
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