Senior AI Engineer

We are seeking a Senior AI Engineer with 8 years of professional experience in software engineering including significant experience building or deploying agentic AI systems The ideal candidate combines broad software engineering expertise with hands-on experience designing developing and scaling autonomous AI agents that integrate language models workflows APIs and backend systems into production solutions.

We are seeking a Senior AI Engineer with 8+ years of professional experience in software engineering, including significant experience building or deploying agentic AI systems. The ideal candidate combines broad software engineering expertise with hands-on experience designing, developing, and scaling autonomous AI agents that integrate language models, workflows, APIs, and backend systems into production solutions.

• Architect and implement agentic AI systems capable of autonomous reasoning planning tool use and task execution
• Design and develop scalable AI applications that leverage LLMs multi-agent coordination and contextual reasoning
• Integrate AI models with tools APIs, databases and enterprise platforms to support real-world workflows
• Build and maintain backend infrastructure including task orchestration context management, and performance monitoring
• Collaborate with cross-functional teams to translate requirements into robust AI solutions
• Establish evaluation, safety and observability frameworks to ensure reliability ethical behavior and responsible use of autonomous systems

• Software Engineering:
  Proven experience in building large-scale, reliable systems, including backend services, APIs, distributed components, and cloud-native architectures
• Solid software design skills and understanding of systems fundamentals
• AI & Autonomous Systems:
  Hands-on experience with agentic AI, including autonomous agent workflows, multi-agent systems, or tool integration
• Familiarity with LLMs and Generative AI principles (e.g., language models, embeddings, prompt engineering)
• Experience with retrieval-augmented generation (RAG), context handling, or memory modules
• Technical Tools & Infrastructure:
  Proficiency with programming languages commonly used in AI systems (e.g., Python, Java, C++ or similar)
• Experience with modern Generative AI frameworks and ecosystems (e.g., Lang Chain, Autogen, Hugging Face Transformers, vector databases)
• Familiarity with containerization, orchestration, cloud services (AWS, Azure, GCP), and deployment tooling
• General
  
  Skills:
  
  Strong problem-solving and analytical abilities, with a systems-thinking mindset
• Excellent communication and collaboration skills across technical and non-technical teams