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AI – Forward Deployed Engineer

Digital.ai
Chennai, IND
Full-time
Mid
Onsite
Discovered 1 weeks ago
dockergeminigitkubernetespythonsql

Full Job Posting

Required Skills

  • Experience in application/product development with:
  • Core AI/LLM Skills
  • Strong hands-on experience building applications with LLMs (Claude, GPT, Gemini, open-source models) via APIs and SDKs
  • Proven experience designing and building AI Agents, including multi-step reasoning, planning, tool use, and multi-agent orchestration
  • Experience creating AI Skills and reusable agent capabilities (Claude Skills, custom tools, function calling, MCP servers)
  • Knowledge of Spec Driven Development will be an added advantage
  • Expertise in prompt engineering and context engineering (system prompts, few-shot, structured outputs, prompt chaining, context window management)
  • Hands-on with RAG pipelines: embeddings, vector databases, chunking, retrieval, and reranking
  • Experience with agent frameworks such as the Claude Agent SDK
  • Familiarity with Model Context Protocol (MCP) and tool/connector integrations
  • Engineering Skills
  • Strong Python proficiency (TypeScript/Node.js a plus)
  • Solid software engineering fundamentals: APIs (REST), async programming, testing, Git, CI/CD
  • Experience building and deploying production-grade AI services (Docker, Kubernetes)
  • Knowledge of databases (SQL and NoSQL) and data pipelines
  • Preferences
  • Enjoy challenges, proactively solving problems and have a "get stuff done" attitude
  • Continuous Integration and Continuous Development knowledge
  • Ability to multitask and work across different projects at the same time
  • Flexibility on working hours (Global company working in different time zones)

Qualifications

  • Core AI/LLM Skills
  • Strong hands-on experience building applications with LLMs (Claude, GPT, Gemini, open-source models) via APIs and SDKs
  • Proven experience designing and building AI Agents, including multi-step reasoning, planning, tool use, and multi-agent orchestration
  • Experience creating AI Skills and reusable agent capabilities (Claude Skills, custom tools, function calling, MCP servers)
  • Expertise in prompt engineering and context engineering (system prompts, few-shot, structured outputs, prompt chaining, context window management)
  • Hands-on with RAG pipelines: embeddings, vector databases, chunking, retrieval, and reranking
  • Experience with agent frameworks such as the Claude Agent SDK
  • Familiarity with Model Context Protocol (MCP) and tool/connector integrations
  • Engineering Skills
  • Solid software engineering fundamentals: APIs (REST), async programming, testing, Git, CI/CD
  • Experience building and deploying production-grade AI services (Docker, Kubernetes)
  • Knowledge of databases (SQL and NoSQL) and data pipelines
  • Preferences
  • Enjoy challenges, proactively solving problems and have a "get stuff done" attitude
  • Continuous Integration and Continuous Development knowledge
  • Ability to multitask and work across different projects at the same time
  • Flexibility on working hours (Global company working in different time zones)

Preferred Qualifications

  • Knowledge of Spec Driven Development will be an added advantage
  • Strong Python proficiency (TypeScript/Node.js a plus)

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