AI and Cognitive Engineer

Required Skills: 1. FastAPI, Pydantic, boto3 2. TypeScript (React, Node.js) 3. Strong AI/ML Position focused primarily on AI and Cognitive Engineering. You will spend the majority of your time building AI-powered capabilities on internal platforms — our cognitive layer that is transforming how engineering teams operate. The remaining time supports production infrastructure and release processes, ensuring you stay grounded in the systems your AI work automates. This role requires a strong AI/ML engineering mindset with enough operational context to build effective automation. Mandatory Skills: What You Bring • 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems • Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js) • Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector search • Experience building AI pipelines — model orchestration, token management, confidence scoring, intelligence buildouts • AWS fundamentals — ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge • CI/CD pipeline experience — GitLab CI (or similar), environment management • Experience mentoring or leading offshore engineers • Strong verbal and written communication Nice to Have • Experience building internal engineering platforms or cognitive/AI platforms • Dynatrace or similar APM (DQL queries, alerting, SLOs) • Terraform for infrastructure-as-code • Security engineering — SAST/DAST, container scanning, IAM policy design • Financial services / regulated environment experience • Claude Code, GitHub Copilot, or AI-assisted development workflows • Event-driven architectures (EventBridge, SQS, SNS) • Production on-call sre experience Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | Ally AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek Desired Skills: • 12+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js) • Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector search Experience building AI pipelines • model orchestration, token management, confidence scoring, intelligence buildouts AWS fundamentals • ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge CI/CD pipeline experience — • GitLab CI (or similar), environment management Experience mentoring or leading offshore engineers Strong verbal and written communication Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM, etc.,) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search Experience building internal engineering platforms or cognitive/AI platforms Dynatrace or similar APM (DQL queries, alerting, SLOs) Terraform for infrastructure-as-code Security engineering • SAST/DAST, container scanning, IAM policy design Financial services / regulated environment experience Claude Code, GitHub Copilot, or AI-assisted development workflows Event-driven architectures (EventBridge, SQS, SNS) Production on-call sre experience Show more Show less