Your role and responsibilities

• Scale an existing RAG code base for a production grade AI application  Requirements:     Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation     Programming languages like Python or Java     Experience with vector databases    
• Experience using LLMs in software applications, including prompting, calling, and processing outputs    
• Experience with AI frameworks such as LangChain    
• Troubleshooting skills and creative in finding new ways to leverage LLM     Experience with Azure
• Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.

Required education

Bachelor's Degree

Required technical and professional expertise

• Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
• Experience and working knowledge in COBOL & JAVA would be preferred
• Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
• Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
• Demonstrate a growth mindset to understand clients' business processes and challenges

Preferred technical and professional experience

• Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to communicate results to technical and non-technical audiences