Agentic AI Developer

• Collaborate closely with the team to rapidly gather requirements from leadership and stakeholders, translate those requirements into concrete proposals and implement them.
• Work closely with stakeholders and data scientists to rapidly discover various workflows within the customer service functions and translate them into AI Workflows, either user ML/Agentic AI approaches or capturing the workflows based on discussions with the SMEs
• The workflows have to validated by collaborating with various stakeholders and SMEs
• The workflows have to be translated into a format that is fit for consumption by Agentic AI solutions.
• The workflows have to implemented into Agentic AI solutions
• Performance Measurement
• Gather feedback from stakeholders and continuously improve the solution

• Required: SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases
• Bonus: Redis, Context Engineering, multi-agent systems

Qualifications

• Education: A B.S. or M.S. in Computer Science, AI, or a related field is preferred.
• Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on agentic AI or GenAI applications.