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What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of software engineering experience with modern application development
- 1+ years of hands-on experience building and deploying Generative AI or Agentic AI solutions in production
- Experience designing developing and deploying AI agents that interact with APIs databases enterprise systems and external tools
- Proven experience with agent orchestration frameworks such as LangGraph LangChain CrewAI AutoGen Semantic Kernel LlamaIndex or equivalent
- Strong Python development experience and familiarity with AI application development ecosystems
- Experience integrating commercial and open-source LLMs into production applications
- Strong understanding of prompt engineering agent design patterns tool calling memory management context management and AI workflow orchestration
- Experience implementing Retrieval-Augmented Generation architectures and vector database solutions
- Experience working with cloud platforms such as Azure AWS or GCP
- Experience with Docker containerized deployments CI/CD pipelines and modern DevOps practices
- Ability to interpret SDK documentation and rapidly implement integrations with new platforms and services
- Excellent problem-solving skills with the ability to decompose complex business challenges into scalable AI-driven solutions
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience deploying AI solutions on Azure OpenAI AWS Bedrock Vertex AI or similar enterprise AI platforms
- Experience with MCP Model Context Protocol implementations and AI tool ecosystems
- Bachelor's degree in Computer Science Software Engineering MIS or related field
Day to day
- Design and build production-grade Agentic AI solutions that automate complex business workflows and improve operational efficiency
- Develop autonomous and semi-autonomous AI agents with reasoning planning tool usage retrieval memory and multi-step execution
- Create multi-agent systems APIs microservices RAG pipelines and enterprise integrations that deliver measurable business outcomes