Generative AI Solutions Engineer

Albatronix

Pune City

Hybrid

INR 7,011,393

Full time

14 days+

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Benefits offered by this job

Competitive salary

Flexible hybrid work model

Rapid career growth

Job summary

A high-growth enterprise AI platform provider in Pune is looking for a Generative AI Engineer. You will architect and deploy GenAI applications, collaborate with teams, and optimize performance on Azure. 3-5 years experience in Generative AI is required. The company offers a competitive salary and a flexible hybrid work model.

Qualifications

3-5 years hands-on Generative AI/LLM engineering experience.
Proficiency with Microsoft Azure services including Azure OpenAI.
Strong Python & TypeScript skills.

Responsibilities

Architect, prototype, and deploy GenAI applications on Azure.
Build and orchestrate agentic frameworks for multi-agent reasoning.
Collaborate with product, design, and customer success teams.

Skills

Generative AI

Azure

Python

LLMs

SQL Azure

Agentic framework

Tools

Kubernetes

Microsoft Azure

Docker

Job description

4 days ago Be among the first 25 applicants

This range is provided by Albatronix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

About The Opportunity

We are a high-growth enterprise AI platform provider in the cloud services & SaaS sector, modernizing data pipelines and automating knowledge work for Fortune 500 clients. Our hybrid teams in Pune and Mumbai build production-grade generative AI solutions on Microsoft Azure—enabling real-time insights, intelligent agents, and scalable RAG applications with robust security and responsible-AI guardrails.

Role & Responsibilities

Architect, prototype, and deploy GenAI applications (LLMs, RAG, multimodal) on Azure OpenAI, Cognitive Search, and Kubernetes-based microservices.
Build and orchestrate agentic frameworks (LangChain, AutoGen) for multi-agent reasoning, tool-calling, and end-to-end workflow automation.
Engineer low-latency, high-throughput data and prompt pipelines using Azure Data Factory, Event Hub, and Cosmos DB.
Optimize model performance and cost via fine-tuning, quantization, scalable caching on Azure ML and AKS.
Implement production-grade CI/CD, observability (App Insights, Prometheus), security, and responsible-AI guardrails.
Collaborate cross-functionally with product, design, and customer success teams to deliver measurable business impact.

Skills & Qualifications

Must-Have

3-5 years hands-on Generative AI/LLM engineering (GPT, Llama 2, Claude) with at least one solution in production.
Proficiency with Microsoft Azure services: Azure OpenAI, Functions, Data Factory, Cosmos DB, AKS.
Strong Python & TypeScript skills with experience in agentic frameworks (LangChain, AutoGen, Semantic Kernel) and REST/GraphQL APIs.
Solid foundation in cloud MLOps: Docker, Helm, Terraform/Bicep, GitHub Actions or Azure DevOps.
Proven ability to optimize end-to-end GenAI pipelines for performance, cost efficiency, and reliability.

Preferred

Experience scaling GenAI pipelines to >10 K QPS using vector databases (Pinecone, Qdrant) and distributed caching.
Familiarity with prompt engineering, fine-tuning methodologies, and retrieval-augmented generation best practices.
Knowledge of Kubernetes operators, Dapr, and service mesh patterns for resilient microservices.

Benefits & Culture Highlights

Competitive salary and flexible hybrid work model in Pune and Mumbai offices.
Rapid career growth within a pioneering AI leadership team.
Collaborative, innovation-driven culture emphasizing ethical and responsible AI.

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

Seniority level