Pay Range: $ 65 - $ 70
Job Description:

Responsibilities:

• Design and develop chatbot and GenAI solutions for knowledge management and self-service functionalities.

• Translate business requirements into scalable, secure enterprise architecture solutions using LLMs and APIs.

• Optimize chatbot platform performance considering latency, concurrency, cost, and accuracy.

• Integrate backend systems including authentication, authorization, databases, and APIs.

• Collaborate with Agile teams, stakeholders, and product owners to deliver prioritized features.

• Mentor junior engineers, perform code reviews, and support solution deployment lifecycle.

Must-Have Skills:

• Strong experience with chatbot interfaces, LLMs, and prompt engineering.

• Proficient in Python, NodeJS, and Java programming.

• Hands-on experience designing and consuming APIs for LLM interaction.

• Understanding of solution patterns for GenAI and chatbot platforms.

• Experience with cloud platforms (AWS preferred) and deployment best practices.

• Knowledge of concurrency, latency, security, and cost trade-offs in AI systems.

• Agile team collaboration and stakeholder communication skills.

Desired/Plus Skills:

• Experience with CI/CD tools and build systems: Maven, Jenkins, BitBucket, Git, Horizon.

• Familiarity with RDBMS like Oracle (PL/SQL), Exadata, Neo4J graph databases.

• Experience coordinating distributed teams and working in Agile development environments.

• Strong analytical and problem-solving abilities related to AI/ML deployments.