AI Platform Engineer

AI Platform Engineer (LLM / Agentic Systems)

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. 

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Role: AI Platform Engineer (LLM / Agentic Systems)
Experience: 4–10 years

About the Role

We are building a Hybrid Agentic AI Platform that operates across AWS, multi-cloud, and customer environments. This role will design and implement the core intelligence layer, including LLM integration, agent orchestration, and context-aware decisioning.

Responsibilities

• Design and build agentic workflows and orchestration systems

• Implement RAG pipelines (retrieval, embeddings, context building)

• Integrate LLMs (hosted/private) into enterprise workflows

• Build QA scoring, evaluation, and feedback loops

• Optimize prompts, latency, and response quality

• Ensure secure data handling (no-retention, in-memory processing)

• Collaborate with platform and FDE teams for real-world deployments

Required Skills

• Strong Python programming

• Hands-on experience with LLMs / GenAI systems

• Deep understanding of RAG, embeddings, vector databases

• Experience with APIs and distributed systems

• Familiarity with AWS (Bedrock, Lambda, S3, etc.)

Nice to Have

• Experience with agent frameworks (LangChain, LangGraph, etc.)

• LLM evaluation frameworks and guardrails

• Exposure to multi-tenant SaaS architectures

Impact

You will define the core intelligence layer powering AI-driven QA, insights, and automation.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.

Experience Level

Senior Level