About the Team / Organization :

Outscale Partners is a fully owned subsidiary of The Argenbright Group and was established in 2022. The group brings more than 45 years of experience in transforming labor-intensive, essential frontline services across industries. It has operations across the United States, the United Kingdom, Middle East and India, supporting clients through a robust combination of industry expertise, technology, and people-centric service models.

Outscale

Partners focuses on delivering innovative workforce and service solutions that enhance operational efficiency and customer experience.

Work Mode : Permanent Remote

Shift Timings : 3.00 PM to 12.00 AM

Working Days : 5 days working (Mon to Fri)

Role &

responsibilities :

- Build and integrate AI-driven capabilities into enterprise applications and workflows using leading LLM platforms.
- Design and implement Retrieval-Augmented Generation (RAG) architectures to enable AI systems to securely leverage internal knowledge and data sources.
- Develop and orchestrate AI agents capable of executing multi-step, decision-based business processes.
- Own production AI systems end-to-end, including deployment, versioning, monitoring, scaling, and cost optimization.
- Define, implement, and maintain evaluation metrics for AI quality, reliability, latency, and cost efficiency.
- Collaborate closely with Leadership, Product and Engineering teams to identify, prioritize,



and deliver high-impact AI solutions.
- Ensure AI solutions follow enterprise standards for security, data privacy, reliability, and maintainability.

Preferred candidate profile :

- 7 to 8 years of overall software engineering experience, with 3 to 4 years of hands-on work on production AI / LLM systems.
- Strong proficiency in Python, with experience writing production-quality, testable, and maintainable code.
- Proven experience designing and implementing RAG pipelines, including document ingestion, embeddings, retrieval, and response generation.
- Hands-on experience with vector databases (e.g., Qdrant, FAISS, ChromaDb, or similar).
- Practical experience using LLM orchestration frameworks such as LangChain, LlamaIndex, Autogen, Haystack, or Semantic Kernel.
- Prior experience building AI solutions in SaaS or enterprise-scale software environments.
- Experience integrating with major LLM providers such as OpenAI, Anthropic Claude, or Google Gemini.
- Solid understanding of prompt engineering, context engineering (context window management), and output control techniques.
- Experience deploying AI systems to cloud environments (AWS, Azure, or GCP) using Docker and Kubernetes.
- Working knowledge of LLMOps & MLOps practices, including model versioning, CI/CD, monitoring, and rollback strategies.
- Experience in implementing guardrails in AI Solutions along with Observability.

📌 Artificial Intelligence Engineer - LLM/RAG (India)
🏢 Outscale Partners
📍 India