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Technical Expertise:
. Must Have:
oProficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai).
o Hands-on experience with Azure open AI and related tools and services.
o Fluent in GenAI packages like Llamaindex and Langchain.
Soft Skills:
. Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams.
. Strong problem-solving and analytical skills.
. Attention to detail.
. Ability to work with teams in a dynamic, fast-paced environment.
Experience:
. 5+ years of experience in software development, with 3+ years in AI/ML or Generative AI projects.
. Demonstrated experience in deploying and managing AI applications in production environments.
Key Responsibilities:
. Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases.
. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai).
. Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation.
. Write efficient, clean, and maintainable Python code for AI applications.
. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption.
. Fine-tune and optimize AI models for business use cases.
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
Job ID: 148593767
Skills:
Algorithms, Distributed Computing, Machine Learning, data structures, Code Review, Python, Deep Learning, embeddings, ML experimentation, vector databases, code generation capabilities, LangGraph, model evaluation, Anthropic models, open source scans, LangChain, Generative AI frameworks, re-rankers, AI Search Index, monitoring in production, large language model architectures, quality gate checks, unit code tests, Prompt Engineering, aqua scans