24x7 Direct
This is a remote position.
TECHNICAL ASSIGNMENT IS REQUIRED BY THE CLIENT BEFORE MOVING FORWARD TO THE FINAL INTERVIEW.
We are seeking a visionaryAI Engineerwith expertise in designing and building LLM-powered AI pipelines and multi-agent chatbot systems. You will lead the architectureandimplementationofRetrieval-AugmentedGeneration(RAG)systems,integrate LLM APIs, and orchestrate autonomous and collaborative agent workflows to deliver sophisticated AI-driven customer-facing and internal tools.
- AI Pipeline Architecture & Development: Design and implement end-to-end AI pipelines, including data ingestion, prompt engineering, RAG orchestration, deployment, monitoring, and retraining.
- Multi-Agent System Design: Build and coordinate intelligent agents (e.g., planner, retriever, synthesizer) to collaborate dynamically in complex workflows—mirroring frameworks like MA-RAG.
- LLM Integration & Fine-Tuning: Deploy and manage integrations with leading LLM APIs (e.g., OpenAI, Anthropic, Gemini), optimizing performance through fine-tuning, prompt design, vector databases, and tool use.
- Tooling & MLOps (LLMOps): Implement robust MLOps pipelines—CI/CD, monitoring, version control, observability—for LLM systems, supporting reliability and scalability.
- Evaluation & Metrics Frameworks: Define evaluation strategy focused on correctness, latency, hallucination, multi-step reasoning, and user experience—similar to frameworks used in agent pipeline roles.
- Cross-Functional Collaboration & Leadership:Partner with product managers, data engineers, software teams, and domain experts to shape system behavior; mentor junior engineers and guide best practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, or related domain.
- Experience: You must have at least 5 years experience building production-level LLM, AI agent, or RAG systems.
- Technical skills:
- Strong background in MLOps/LLMOps—CI/CD, deployment, monitoring, observability, model versioning, A/B testing.
- Demonstrated ability to design multi-agent or autonomous systems, with experience in agent orchestration frameworks or custom pipelines.
- Excellent communication and leadership: can translate complex technical ideas and guide teams through innovation.
- Bonus: prior contributions to open-source, publications in AI, or conference speaking engagements (e.g., on advanced LLM or agent architectures).
Work Environment & Expectations
- Discipline and commitment to set working hours (strict shift times, not flexible)
- Use of time tracking software during work hours
- Active participation in team and client calls with your camera ON
- Consistent availability and responsiveness throughout your shift
- Treating this as a long-term, full-time job—not a side gig or freelance task
Benefits
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
About this role & career path
Working in United States
The United States of America (USA), also known as the United States (U.S.) or America, is a country primarily located in North America. It is a federal republic consisting of 50 states and a federal capital district, Washington, D.C. The 48 contiguous states border Canada to the north and Mexico to the south, with the semi-exclave of Alaska in the northwest and the archipelago of Hawaii in the Pacific Ocean. The United States also asserts sovereignty over five major island territories and various uninhabited islands in Oceania and the Caribbean. It is a megadiverse country, with the world's th
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