AI/ML Engineer
Indexed description
馃搷 Role Overview
We are seeking a highly skilled AI Engineer with strong expertise in Python and modern agentic AI frameworks to design, build, and deploy intelligent systems. The ideal candidate has hands-on experience developing autonomous AI agents, integrating tools, and leveraging advanced AI coding assistants to accelerate development.
馃殌 Key Responsibilities
- Design and develop agentic AI applications using frameworks like LangGraph
- Build and orchestrate multi-agent systems with memory, planning, and tool usage
- Develop scalable backend services in Python for AI-driven applications
- Integrate and manage MCP (Model Context Protocol) servers for tool communication and context sharing
- Create structured prompts, workflows, and specifications for reliable AI outputs
- Collaborate with product and engineering teams to translate requirements into AI-driven solutions
- Optimize model performance, latency, and cost for production environments
- Implement evaluation pipelines and monitoring for AI systems
馃 Required Skills & Qualifications
- Strong proficiency in Python (must-have)
- Hands-on experience with LangGraph for building agent workflows
- Proven experience developing agentic AI applications (multi-step reasoning, tool usage, memory handling)
- Solid understanding of LLMs, prompt engineering, and RAG architectures
- Experience with MCP servers and tool integration ecosystems
- Familiarity with API development, microservices, and backend architecture
- Strong problem-solving and system design skills
馃 AI Tooling Expertise
- Proficiency with AI-assisted coding tools such as:
- GitHub Copilot
- Claude
- Ability to leverage AI tools for:
- Code generation
- Debugging and optimization
- Rapid prototyping
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