Senior AI Engineer (Generative AI | Cloud | Remote)

Jobs
Strategic Systems Inc

Strategic Systems Inc

- Contract

🌎 Remote

Posted on: 4 August, 2025

Senior AI Engineer (Generative AI | Cloud | Remote)

Title: Senior AI Engineer (Generative AI | Cloud | Remote)

Location: Hyderabad - Remote (Must overlap with US ET/CT hours; 2 PM–11 PM IST acceptable)

Experience Level: Senior-Level | 5+ years of relevant experience

🌟 Summary:

We’re looking for a Senior AI Engineer who thrives at the intersection of software engineering and cutting-edge AI. In this consulting role, you’ll work closely with global clients to build AI-powered, cloud-native applications, leveraging LLMs and agentic AI patterns. This is a high-impact, remote opportunity for an engineer who loves solving complex problems and delivering scalable, real-world solutions.

💡 Must-Have Skills:

  • JavaScript (Node.js/React), Python, or C#/.NET
  • Generative AI, LLMs (OpenAI, Anthropic, Gemini, etc.)
  • Cloud-native dev (Azure, AWS, or GCP)
  • Agentic AI & multi-agent orchestration
  • Data pipelines, APIs, vector databases
  • Strong system architecture, scalability, security
  • Excellent English communication
  • Independent & self-driven execution

🌱 Preferred Skills:

  • Client consulting experience
  • Experience with orchestration tools (LangChain, Airflow, etc.)
  • Prompt engineering and RAG architectures
  • Team mentorship and code reviews
  • Agile delivery practices

🚫 Don’t Apply If:

  • You don’t have hands-on Generative AI or LLM implementation experience
  • You lack cloud-native architecture exposure
  • You can’t communicate effectively with clients in English
  • You need constant supervision or work best only in teams
  • You’re unavailable during US Eastern/Central hours

📝 Resume Tips for GPT Optimization:

  • List specific LLM tools/frameworks used (e.g., LangChain, OpenAI API, Gemini)
  • Include cloud platforms and services (e.g., AWS Lambda, Azure ML, GCP Vertex AI)
  • Highlight AI projects where you led architecture, development, or deployment
  • Quantify impact: e.g., “Deployed chatbot using OpenAI GPT-4, reducing support tickets by 40%”
  • Showcase consulting/client engagement experience where applicable

Tags:
ai
ml
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