Senior AI & Cloud-Native Software; SENG

This role owns the software and cloud-native architecture of AI-enabled applications and retrieval systems, from design to production. It combines architectural leadership with hands-on engineering: designing GenAI and RAG solutions, building cloud-native backend services, and ensuring the security, reliability, and observability required for production workloads.

• Design scalable, secure, and resilient architectures for AI-enabled applications, defining service boundaries, data flows, APIs, and integration patterns.
• Define cloud-native patterns across microservices, containers, serverless, and event-driven systems.
• Design and product ionize GenAI and RAG solutions: model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization.
• Build backend services in Type Script/Node.js and/or Python, and event-driven workflows with queues, workers, and webhooks.
• Define non-functional requirements, evaluate trade-offs, and document decisions in ADRs.
• Translate business use cases into technical designs, assessments, and executive summaries.
• Own the architecture from discovery to go-live, guiding engineers through architecture and code reviews.
• Implement observability and secure CI/CD pipelines.

• 7+ years of software engineering experience.
• Proven experience owning the architecture of production distributed systems (microservices, domain-driven design, REST and asynchronous APIs).
• Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls.
• Experience with RAG, embeddings, and vector databases (pgvector, Open Search, or equivalent).
• Strong Type Script/Node.js or Python engineering experience.
• Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven messaging, and resilience patterns.
• Strong understanding of security in cloud-native systems: identity, authorization, secrets management, and data protection.
• Docker, CI/CD, automated testing, and observability (Open Telemetry, Grafana, Datadog, or Cloud Watch).

• AWS:
  Bedrock, Lambda, API Gateway, SQS, Event Bridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB.
• Conversational and contact center:
  Whats App Business API, Amazon Connect, Amazon Lex, Twilio, voice bots.
• Terraform, Cloud Formation, or CDK.
• AWS Certified Solutions Architect – Professional or equivalent.
• Customer-facing consulting experience and comfort presenting to executive stakeholders.

Part time Remote Contractor Hourly Start: ASAP

• AWS (Bedrock, Lambda, SQS, Event Bridge), GenAI / LLM, RAG & Vector Databases (pgvector, Open Search), Type Script / Node.js, Python, Kubernetes, Docker, PostgreSQL, Terraform / Cloud Formation / CDK