We are hiring an experienced AI Developer, responsible for designing, building, and
operating enterprise AI platforms (e.g., AI Marketplace and domain copilots) using LLMs
and modern MLOps. 

Own end-to-end solutions—RAG, fine-tuning, agents—ensuring
quality, reliability, safety, cost efficiency, and compliance across client engagements. Partner
with stakeholders to translate business goals into measurable AI outcomes, while enabling
client teams (governance, upskilling) to accelerate transformation.
Key Responsibilities:

• Architect and implement enterprise AI services (RAG, fine-tuning, agents), including APIs, orchestration, vector indexing, caching, and SLAs.
• Establish MLOps for models, prompts, and data: CI/CD, experiment tracking, model
  registry, and safe deploys (shadow/canary/rollback).
• Define and run evaluation and observability: offline/online tests, bias/safety checks,
  drift detection, dashboards, alerts, and cost/latency budgets.
• Ensure security, privacy, and compliance (PII handling, IAM, audit/auditability)
  while maintaining reliability and performance in production.
• Partner with product/engineering and client stakeholders to translate requirements
  into measurable outcomes; document decisions and enable client teams.

Job Requirements

• 4+ years in software/ML (3+ in production AI); expert Python and backend
  engineering.
• Proven LLM/NLP delivery (RAG, fine-tuning, guardrails) with Azure cloud.
• MLOps end-to-end: CI/CD, registries, deploys (shadow/canary),
  monitoring/observability, and cost/latency control.
• Data governance, security/compliance awareness; strong client-facing collaboration
  and ownership .

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