Sr. Associate

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.

• 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems
• Python (FastAPI, Pydantic, boto3) and Type Script (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, Cloud Watch, Event Bridge
• CI/CD pipeline experience — Git Lab CI (or similar), environment management
• Experience mentoring or leading offshore engineers
• Strong verbal and written communication

• 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, Git Hub Copilot, or AI-assisted development workflows
• Event-driven architectures (Event Bridge, SQS, SNS)
• Production on-call sre experience

Tech Stack Python | FastAPI | React | Type Script | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, Event Bridge, IAM) | Terraform | Git Lab CI | Docker | Dynatrace | Jira/Confluence APIs | Service Now | our financial client AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/Deep Seek

• 12+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems Python (FastAPI, Pydantic, boto3) and Type Script (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, Cloud Watch, Event Bridge CI/CD pipeline experience —
• Git Lab CI (or similar), environment management Experience mentoring or leading offshore engineers Strong verbal and written communication Tech Stack Python | FastAPI | React | Type Script | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, Event Bridge, IAM, etc.,) | Terraform | Git Lab CI | Docker | Dynatrace | Jira/Confluence APIs | Service Now | 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, Git Hub Copilot, or AI-assisted development workflows Event-driven architectures (Event Bridge, SQS, SNS) Production on-call sre experience