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Scouto AI
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Gen AI Engineer

Gen AI Engineer

Scouto AI

0 years

13 - 15 Lacs

Pune Maharashtra India

Posted:1 day ago| Platform:

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Skills Required

ai software saas data automate azure design prototype openai kubernetes reasoning workflow automation latency model tuning quantization ml security engineering python typescript rest graphql docker helm terraform github benchmarking scaling retrieval service sql

Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

We’re a fast-growing

enterprise AI platform provider in the cloud services & software (SaaS) sector

, helping Fortune 500 clients modernize data pipelines, automate knowledge work and unlock new revenue with Generative AI. Backed by a deep bench of AI researchers and cloud architects, we build scalable, production-grade solutions on Microsoft Azure. Join our Pune-based hybrid team to shape the next generation of agentic AI products.Role & Responsibilities

Design, prototype and deploy GenAI applications (LLMs, RAG, multimodal) on Azure OpenAI, Cognitive Search and Kubernetes-based micro-services.
Build and orchestrate agentic frameworks (LangGraph / AutoGen) to enable multi-agent reasoning, tool-calling and workflow automation at scale.
Engineer robust data & prompt pipelines using Azure Data Factory, Event Hub and Cosmos DB, ensuring low-latency, high-throughput inference.
Optimize model performance & cost via fine-tuning, quantization and scalable caching on Azure ML and AKS.
Harden solutions for production with end-to-end CI/CD, observability (App Insights, Prometheus), security & responsible-AI guardrails.
Collaborate cross-functionally with product managers, designers and customer success to deliver measurable business impact.

Skills & Qualifications

Must-Have

3-5 yrs hands-on in Generative AI / LLM engineering (GPT, Llama 2, Claude, etc.) with at least one product in production.
Proven expertise in Microsoft Azure services: Azure OpenAI, Functions, Data Factory, Cosmos DB, AKS.
Strong Python/TypeScript with agentic frameworks (LangChain, AutoGen, Semantic Kernel) and REST/GraphQL APIs.
Solid grounding in cloud MLOps: Docker, Helm, Terraform/Bicep, GitHub Actions or Azure DevOps.

Preferred

Experience benchmarking & scaling pipelines to >10 K QPS using Vector DBs (Qdrant, Pinecone) and distributed caching.
Familiarity with prompt-engineering, fine-tuning & retrieval-augmented generation (RAG) best practices.
Knowledge of Kubernetes operators, Dapr, Service Mesh for fault-tolerant micro-services.

Skills: Generative AI,Azure,Python,LLMs,SQL Azure,agentic framework,Langgraph,autogen,CI,Cd,Kubernetes,Microsoft Azure,Cloud

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