AI Agent Engineer Role

Build and deploy scalable, production-ready LLM-powered AI systems

Develop intelligent agents and multi-agent architectures for workflow automation

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Lead and mentor AI engineering team

Develop and deploy AI productivity solutions

Develop innovative GenAI applications

Deploy and optimize production-grade ML solutions

Develop and deploy advanced GenAI applications

Advise customers on AI solutions and best practices

Build scalable, production-grade LLM and agentic AI systems

Automate and optimize sales and marketing workflows using AI

Lead backend development for AI-powered 3D product experiences

Optimize LLM orchestration pipelines for low-latency, high-throughput response

Accelerate client cloud adoption

Deliver scalable cloud solutions

Support and track project progress

Coordinate internal and external communications

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Build and productionize advanced AI systems using LLMs and agents

Enhance user productivity through AI-powered automation and personalization

Lead and mentor an AI engineering team

Architect and deploy AI-driven productivity solutions

Develop and deploy advanced GenAI solutions for customers

Lead production rollout of AI applications

Develop intelligent multi-agent AI systems

Leverage LLMs and RAG for advanced NLP tasks

Join our team as a remote AI Engineer, leveraging your expertise in Python, Django, REST APIs, and LangChain to build advanced AI solutions.

You will design, develop, and deploy AI models and features while collaborating with diverse teams in a fast-paced environment.

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Lead and deliver GenAI projects for clients

Architect scalable, secure AI applications

Deliver customer-focused LLM and ML solutions

Productionize and optimize ML pipelines on cloud

Build and package a Teams app

Integrate existing backend with Teams

Build and deploy AI-powered productivity tools

Collaborate with cross-functional teams

Guide clients through cloud migration and modernization

Lead technical design and implementation of cloud solutions

Develop scalable AI microservices for revenue intelligence

Implement and optimize LLM-based retrieval and summarization features

Build and deploy agentic AI systems for real estate data management.

Leverage LLMs and retrieval-augmented frameworks to enhance data workflows.

Develop LLM-powered agents for contact center solutions

Implement and optimize AI features for enterprise applications

Integrate LLMs and intelligent agents into SaaS products

Design and implement scalable, production-ready AI solutions

Design and maintain scalable backend systems

Build and optimize AI-driven analytics frameworks

Lead end-to-end machine learning projects

Develop advanced predictive and generative AI models

Develop scalable, robust AI-driven data pipelines

Automate data cleansing, enrichment, and transformation using LLMs

Develop scalable backend APIs and AI agents

Implement advanced AI-native workflows

Lead and mentor AI engineering teams

Deliver scalable, secure AI solutions for enterprises

Lead the development of cutting-edge AI platforms

Design and implement AI-driven systems

Develop Large Language Model solutions on customer data

Build, scale, and optimize customer data science workloads