Artificial Intelligence Engineer

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About the Role

Senior AI Engineer

Python, cloud-native AI systems, vector databases, orchestration frameworks, and production ML

Responsibilities

• Architect and build scalable

  LLM-powered applications

  , including chatbots, RAG systems, and AI decision-support tools.
• Develop

  autonomous agents

  and multi-agent systems for internal and client needs.
• Implement AIOps frameworks to monitor and improve production AI systems.
• Build and optimize

  data pipelines, ML workflows, APIs

  , and backend services using Python & SQL.
• Deploy scalable systems using

  AWS, Docker/Kubernetes, CI/CD, and IaC tools

  .
• Collaborate with cross-functional teams to define requirements and deliver AI capabilities at scale.
• Mentor engineers and contribute to organizational AI strategy.
• Stay updated on emerging LLM frameworks, agentic workflows, and ML infrastructure advancements.

Required Qualifications

• Bachelor’s/Master’s in Computer Science, Engineering, or a related field
• 6+ years of experience in

  AI/ML Engineering with real-world production systems

• Strong experience developing and scaling

  LLM apps, RAG, agents, and AI-driven apps

• Excellent programming skills in

  Python & SQL

• Experience with

  AWS, Kubernetes, Docker, CI/CD, IaC

• Experience with

  vector databases

  (FAISS, Pinecone, Chroma, etc.)
• Strong understanding of software architecture and system design
• Excellent communication and team collaboration skills

Nice-to-Have Skills

• Experience with

  real-time or event-driven architectures

• Exposure to

  LangChain, LangGraph, CrewAI, or agent frameworks

• Experience with

  MCP or a2a protocols

• Experience leading or mentoring junior engineers