Software Engineer -- Agentic AI Platform

Job DescriptionJob Title: Software Engineer — Agentic AI PlatformPosition Description: Protingent Staffing has an exciting contract Software Engineer — Agentic AI Platform with our client that is fully remote.Job Description:We're building Centralized Agentic AI Framework — a shared platform that brings safe, governed, cost-aware AI agents into every team's GitLab workflow.You'll be a hands-on engineer building and extending this platform — writing the Lambdas that orchestrate agents, integrating Bedrock with GitLab CI, hardening the security and observability layers, and shipping new agent capabilities that any team can adopt without re-architecting.Job Responsibilities:Build agent orchestration — implement Router Lambdas, SQS-based queueing, and Bedrock Agent invocationIntegrate with GitLab CI/CD — design .gitlab-ci.yml patterns where agent invocations run as pipeline stages, consume branch/diff/test context, emit artefacts, and gate downstream stages on agent pass/fail signals.Develop shared Action Groups — build the AWS Lambda-backed toolsDesign Knowledge Bases — iUtilise AWS Bedrock Knowledge Base / OpenSearch / S3 so agents reason over shared organizational context, not isolated prompts.Implement Bedrock Guardrails — input/output filters, sensitive-data scrubbing, content/word filters, and per-agent permission boundaries enforced by design.Implement TokenOps controls — model tiering and routing via an LLM gateway, semantic caching, context-window managementInstrument everything in AWS — CloudWatch dashboards, audit trails, trace logging of every agent invocation (input, output, decision, tokens, cost) for compliance and debugging.Job Qualifications:Required (3–7 years professional experience)Strong Python, AWS SDK Python for building production Lambda functions and event-driven services.Solid AWS experience: Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, CloudWatch.Amazon Bedrock specifically: Agents, Action Groups, Knowledge Bases, Guardrails.Hands-on experience integrating with LLM APIs — Bedrock, OpenAI, Anthropic, or similar.Familiarity with CI/CD platforms — GitLab CI stronglyA security mindset: least-privilege IAM, secrets handling, input validation, awareness of prompt injection and data-leak risks in LLM workflows.Comfortable with observability — structured logging, metrics, tracing — and writing code that's debuggable in production.Nice To Have:Vector search / RAG: OpenSearch, embeddings, retrieval evaluation.FinOps or TokenOps: cost attribution, model routing, semantic caching, batch inference.Experience building developer platforms or internal tooling — you've shipped something other engineers depend on daily.Familiarity with agent frameworks (Bedrock AgentCore) and their tradeoffs.Job Details:Job Type: ContractPay Range: $75 - $102 an hour.Location: Fully Remote.Benefits Package: Protingent offers competitive salaries, insurance plan options (HDHP plan or POS plan), education/certification reimbursement, pre-tax commuter benefits, Paid Time Off (PTO), and an administered 401k plan.About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.