Artificial Intelligence Consultant

Full Description

Job Description

We are looking for an AI Developer to join our team to work with the Customer Service

team to identify how AI can improve processes and implement AI agents which

empower customer service teams to handle higher volumes, reduce response times,

and deliver better customer experiences. This is a unique opportunity that will give the

selected candidate the ability to build production-grade AI systems, including LLM-

powered applications and agentic workflows.

About Telna

Telna provides Mobile Networks, CSPs and OEMs with a managed global network

infrastructure for cellular connectivity.

Telna has the largest LTE and LTE-M footprint in

the world.

Its multi-network platform enables simplified billing and localization, utilizing

6+ telco pops globally. Telna's Connect platform allows instant access to its virtualized

cellular infrastructure via API or front-end portal.

About You

You have hands-on experience building and deploying Generative AI systems in

production, including integration with LLM providers.

Your strength lies in translating

business problems into technical solutions, paired with a natural curiosity to understand

how processes work so you can automate and improve them.

Organizing content and

data to feed AI systems comes naturally to you.

Clear communication with non-technical

stakeholders is essential, and you thrive in collaborative environments where you can

make a measurable impact.

Key Responsibilities

• Partner with Customer Service team to identify opportunities where AI can

improve processes and increase productivity.

• Design, build, and deploy AI agents that automate repetitive tasks and enable

teams to scale their impact.

• Collaborate with the Engineering team to ensure the data required for MCP

servers is accessible and properly structured.

• Organize and structure content and data to ensure AI systems have the inputs

needed to perform effectively.

• Develop and maintain LLM-powered applications and agentic workflows in

production environments.

• Continuously evaluate and improve AI solutions based on user feedback and

performance metrics.

Required Qualifications

• Experience building and deploying AI agents and agentic workflows in

production.

• Proficiency in Python with experience building custom MCP servers, LLM

integrations, and third party APIs.

• Strong prompt engineering skills with the ability to optimize AI outputs through

effective prompting techniques.

• Experience with SQL to access and structure data for AI systems.

• Strong understanding of data organization, structuring, and preparation for AI

systems

• Understanding of standard Customer Service processes and how AI can improve

them.

• Excellent communication skills to work cross-functionally with both technical and

non-technical teams.