Build Enterprise AI That Works in Production

Current AI-focused openings

We are hiring engineers who can work across modern cloud, DevOps, data, and AI systems. If you are interested in either role, email your resume to hr@appliedaiconsulting.com with the role name in the subject line.

Lead DevOps Engineer AI-enabled cloud, DevOps, SRE, and platform engineering

Lead DevOps engineering for enterprise cloud platforms, CI/CD modernization, release automation, monitoring, incident workflows, and AI-assisted operational efficiency.

What you will do

  • Design and improve CI/CD pipelines, infrastructure automation, cloud environments, and release processes.
  • Work across AWS, Azure, Kubernetes, containers, observability, incident response, and reliability engineering.
  • Use AI-assisted engineering practices to improve investigation speed, deployment quality, automation coverage, and operational visibility.
  • Guide teams on DevOps maturity, migration planning, platform standards, security, cost awareness, and production readiness.

What we look for

  • Strong hands-on experience in DevOps, CloudOps, SRE, or platform engineering.
  • Practical experience with CI/CD, IaC, Kubernetes, Linux, monitoring, logging, and cloud-native operations.
  • Ability to lead technical discussions with customers and mentor engineers.
  • Interest in AI-led operations, incident investigation, release intelligence, and automation.
Apply by email
AI Engineer Agentic AI, LLM workflows, RAG, evaluation, and enterprise integrations

Build production-ready AI workflows that connect models, enterprise data, tools, users, governance, and measurable business outcomes.

What you will do

  • Build AI agents, RAG workflows, model integrations, evaluation pipelines, and automation experiences.
  • Work with LLMs, orchestration frameworks, vector databases, APIs, cloud services, and enterprise systems.
  • Collaborate with product, engineering, QA, DevOps, and customer teams to move AI use cases from POC to production.
  • Improve AI reliability through prompt design, guardrails, observability, test datasets, and human-in-the-loop review.

What we look for

  • Strong software engineering fundamentals in Python, TypeScript, Java, or similar modern stacks.
  • Hands-on exposure to LLM APIs, LangChain, LangGraph, RAG, vector search, evaluation, or workflow automation.
  • Ability to reason about accuracy, latency, cost, security, privacy, and user adoption.
  • Curiosity to build practical enterprise AI systems, not demos that stop at a chatbot.
Apply by email

How to apply

Application process

Step 1 Email your resume to hr@appliedaiconsulting.com with the position name in the subject line.
Step 2 Finish the test assignment and share the solution.
Step 3 Upon satisfactory assignment evaluation, appear for a face-to-face interview.
Step 4 If there is a mutual fit, the candidate will be offered the position.
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