Role & responsibilities
Minimum Qualifications:
23 years of hands-on experience developing production-grade LLM applications.
3 to 5 years of overall software development experience.
Minimum 1 year of experience in autonomous agent development using the LangGraph framework or
similar.
Must-Have Skills:
1. Production-Grade LLM Development: Proven experience in developing and deploying large language model
applications.
2. Autonomous Agent Development: Hands-on experience with frameworks like LangGraph for building
autonomous agents.
3. Advanced RAG Architectures: Expertise in hybrid search, multi-vector retrieval, and contextual compression.
4. Prompt Engineering and Vector Search Optimization: Proficiency in crafting effective prompts and
optimizing vector searches.
5. Performance Tuning and Token Optimization: Strong understanding of response caching and techniques to
optimize token usage.
Nice-to-Have Skills:
1. Scalable Architectures: Experience with Kubernetes, Docker, and cloud platforms, preferably Azure.
2. NoSQL Databases: Familiarity with MongoDB and ElasticSearch.
3. API-Driven Development: Knowledge of building and maintaining APIs.
4. CI/CD Pipelines and Agile Methodologies: Experience with continuous integration/continuous deployment
pipelines and Agile practices.
5. Analytical and Problem-Solving Skills: Strong analytical abilities
Keyskills: AI Developer Langgraph LLM
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