Role -Senior AI / LLM Engineer Location: Remote

Goldenpick Technologies
United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Performance Tuning Software Engineering Enterprise Software Applications Chatbots Large Language Models

Requirements

We are seeking Senior AI / LLM Engineers with strong experience in building, deploying, and optimizing production-grade AI and Large Language Model (LLM) solutions.

The ideal candidates will have hands-on experience integrating LLM-based applications with enterprise systems and APIs, developing tool-calling frameworks, and designing conversational AI experiences., * 5+ years of professional software engineering experience.

  • 3+ years of hands-on experience working with Large Language Models (LLMs).
  • Proven experience designing, developing, and deploying production-grade AI solutions.
  • Experience integrating AI/LLM solutions with enterprise applications, platforms, and APIs.
  • Strong experience developing and maintaining LLM tool-calling frameworks, including integration between LLMs and external APIs/services.
  • 3+ years of experience designing effective prompt strategies and conversation management frameworks.
  • 3+ years of experience implementing, evaluating, and tuning conversational AI responses.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:26 min

Introducing LLMs as judges for automated testing

Sebastian Messingfeld Sebastian Messingfeld · World Congress 2026 Europe

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · World Congress 2024

8:32 min

Benchmarking GitOps engine constraints for extensive multi-cluster environments

Artem Lajko · Europe 2026 Virtual

1:22 min

Understanding software engineering as more than just coding

Lilia Gargouri Lilia Gargouri · World Congress 2026 Europe

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · World Congress 2023

Videos

See all

Related articles

See all