Software Engineer - Agentic AI Platform

Avispa Technology•San Francisco, CA

1d•Remote

About The Position

A leading video, audio, and voice technologies company is seeking a Software Engineer - Agentic AI Platform to build and extend a centralized Agentic AI framework that enables secure, governed, and cost-aware AI agents across enterprise GitLab workflows. This role will focus on developing AWS-based agent orchestration services, integrating AI capabilities into CI/CD pipelines, implementing security and observability controls, and delivering scalable platform services that enable engineering teams to adopt AI without rearchitecting their existing.

Requirements

3-7 years of professional software engineering experience developing cloud-native applications and distributed systems.
Strong Python development experience, including AWS SDK (Boto3) and production-grade AWS Lambda development.
Hands-on experience with AWS services, including Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, and CloudWatch.
Experience working with Amazon Bedrock, including Agents, Action Groups, Knowledge Bases, and Guardrails.
Experience integrating with LLM platforms such as Amazon Bedrock, OpenAI, Anthropic, or similar AI services.
Strong understanding of GitLab CI/CD pipelines, automation workflows, and software delivery practices.
Experience designing secure cloud solutions with knowledge of IAM, secrets management, least-privilege access controls, input validation, and AI security considerations such as prompt injection and data protection.
Experience implementing observability solutions, including structured logging, monitoring, tracing, and production troubleshooting.

Nice To Haves

A bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline is preferred.
Experience developing event-driven architectures, APIs, and microservices is preferred.
Experience with OpenSearch, vector search, embeddings, retrieval-augmented generation (RAG), or semantic search technologies is preferred.
Experience with FinOps, TokenOps, model routing, semantic caching, cost attribution, or AI operational governance is preferred.
Experience building internal developer platforms, engineering enablement tools, or shared infrastructure services is preferred.
Familiarity with agent frameworks and multi-agent architectures is preferred.

Responsibilities

Design, develop, and maintain AI agent orchestration services using AWS Lambda, SQS, EventBridge, API Gateway, and Amazon Bedrock Agents; build routing logic, event-driven workflows, and scalable agent execution frameworks.
Integrate AI agents into GitLab CI/CD pipelines by developing reusable pipeline patterns, automating agent execution stages, consuming repository and testing context, generating artifacts, and enforcing pass/fail quality gates.
Build and maintain Bedrock Action Groups, Knowledge Bases, and retrieval systems leveraging AWS Lambda, OpenSearch, S3, and enterprise data sources to enable contextual and scalable AI decision-making.
Implement security, governance, and operational controls, including Bedrock Guardrails, IAM policies, secrets management, input/output validation, audit logging, token usage controls, model routing strategies, semantic caching, and cost optimization mechanisms.
Develop observability, monitoring, and reporting solutions using CloudWatch and related AWS services; create dashboards, tracing, logging, compliance reporting, and operational insights while partnering with engineering teams to deliver reliable AI platform capabilities.