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Xoriant
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AI Solution Engineer

AI Solution Engineer

Xoriant

6 - 10 years

20 - 30 Lacs

hyderabad pune bengaluru

Posted:None| Platform:

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Skills Required

genai dl python ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hope you are doing good!

Xoriant is hiring AI Solutions Engineer with the below requirements

Requirements

Minimum 6+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools.
Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
Experience in designing and implementing highly available, scalable, and fault-tolerant systems.

Development Lifecycle:

End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations.

Technical Skills:

Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
In-depth expertise in at least two of the following programming languages:
Python
Solid understanding of distributed systems concepts and experience with distributed tracing tools.
Strong proficiency in
Python
and software engineering best practices
Solid hands-on experience in
Machine Learning
,
Deep Learning
, and
NLP
Expertise in
Generative AI
,
LLMs
,
Prompt Engineering
, and
RAG
Experience with
Agentic AI frameworks
(LangGraph, AutoGPT, CrewAI, or similar)
Sound knowledge of
MLOps
practices including model deployment, versioning, and monitoring
Familiarity with LLM orchestration tools:
LangChain
,
LlamaIndex
,
OpenAI
, etc.
Experience in cloud ecosystems
AWS, Azure, or GCP
Excellent problem-solving and communication skills

AI/ML Experience:

Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus
Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus

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