Website:
outscalepartners.com
Job details:
Company Description
Outscale Partners, formerly known as AMH Services, is a fully owned subsidiary of the Argenbright Group. With a global presence and operations based in Gurugram, India, Outscale Partners provides support to all Argenbright Group companies as well as external clients across diverse industries and geographies. Focused on delivering sustained value, the company is dedicated to being the world’s most credible global capability center. The team is rapidly expanding and committed to scaling beyond limits.
Position Title-AI Engineer
Position Type-Full-time
Shift-US Shifts
Work Location-Gurugram, Haryana
Work Mode-Hybrid (as per company policy)
Total Experience-7-8 Years
Relevant Experience-4-5 Years
Educational Qualification-Graduate
ROLE PURPOSE
We are looking for a highly skilled AI Engineer to design, develop, and deploy enterprise-grade AI solutions. The role involves working across the complete AI lifecyclefrom identifying use cases to deploying and optimizing AI systems in production.
You will collaborate closely with product, engineering, and leadership teams to build scalable, secure, and high-performing AI-driven applications.
KEY RESPONSIBILITIES
- Design, develop, and integrate AI-powered solutions using modern LLM platforms
- Build and implement RAG (Retrieval-Augmented Generation) pipelines
- Develop AI agents capable of multi-step reasoning and workflow automation
- Deploy and manage AI systems in production (monitoring, scaling, optimization)
- Define and track metrics for performance, accuracy, latency, and cost
- Ensure compliance with enterprise standards for security, privacy, and reliability
- Collaborate with cross-functional teams to deliver business-impacting AI solutions
MUST HAVE SKILLS
- Strong experience in Python with production-grade coding practices
- Hands-on experience in LLM-based applications and AI system deployment
- Expertise in building RAG pipelines (ingestion, embeddings, retrieval)
- Experience with vector databases (Qdrant, FAISS, ChromaDB, etc.)
- Familiarity with frameworks like LangChain, LlamaIndex, Autogen, Haystack, Semantic Kernel
- Experience with LLM providers (OpenAI, Anthropic, Google Gemini)
- Strong knowledge of prompt engineering & context management
- Experience with cloud platforms (AWS / Azure / GCP)
- Hands-on with Docker, Kubernetes
- Understanding of LLMOps / MLOps practices (CI/CD, monitoring, versioning)
- Experience in implementing AI guardrails and observability
Good-to-Have
- Experience with multimodal AI / fine-tuning / RLHF
- Knowledge of Model Context Protocol (MCP)
- Experience in performance optimization (latency, cost, benchmarking)
- Domain exposure: eCommerce, Retail, HR, Finance, Legal, Compliance
- Documentation & Best Practices
- Maintain well-documented, version-controlled AI code
- Create clear design documentation for pipelines and workflows
- Define monitoring dashboards and operational runbooks
- Document model limitations, assumptions, and fallback strategies
Click on Apply to know more.