Azure AI Architecture

LTM; India; Híbrido; INR 4.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

LTM is seeking a Forward Deployed AI Engineer to work directly with customers, understand business challenges, and design, develop and deploy AI solutions using open-source frameworks. You will implement agentic AI features, orchestrate AI agents, and develop scalable RAG architectures with vector databases.

The role requires hands-on experience with LangChain, LangGraph, CrewAI, Python, and cloud/on-prem deployment, along with strong communication skills and a drive to stay ahead in open-source

Formación

• 12 years of software engineering experience with minimum of 3 years experience in building AI solutions and AI agents
• Hands-on experience with Agentic AI features and orchestration patterns
• Experience in customer-facing consulting
• Excellent communication and stakeholder management skills
• Ability to translate business requirements into AI powered solutions
• Experience in prompt engineering and evaluation frameworks
• Experience in implementing AI safety, monitoring, responsible AI and guardrails
• Hands-on experience with AI frameworks like LangChain, LangGraph, CrewAI, etc.

Responsabilidades

• Design, develop and deploy AI solutions with OpenSource frameworks
• Work directly with customers to understand business challenges and own projects through production deployment
• Build single-agent and multi-agent AI solutions with guardrails
• Develop scalable RAG architectures using vector databases and embeddings
• Package, test, optimize and deploy AI agents in cloud and on-prem environments
• Implement monitoring, evaluation and observability for AI systems
• Write high-quality, standards-compliant code and conduct code reviews
• Perform feasibility assessments and recommend solution architectures
• Stay current with open-source AI technologies and share best practices with teams

Conocimientos

Software engineering

Agentic AI

Customer facing

Prompt engineering

AI safety & guardrails

Herramientas

LangChain

LangGraph

CrewAI

LlamaIndex

FAISS

Pinecone

Azure OpenAI Service

Docker

Kubernetes

Descripción del empleo

Role & responsibilities

We are seeking a highly skilled Forward Deployed AI Engineer to work directly with customers understand business challenges and design develop and deploy AI solutions with deep expertise in opensource AI technologies The ideal candidate combines strong software engineering expertise with hands-on experience in implementing Agentic AI solutions using cutting edge opensource frameworks vector databases and LLM orchestration platforms

Preferred candidate profile

Responsible for planning designing and building AI applications leveraging LLMs and Agentic AI frameworks

Understand customer requirements and own projects from concept through production deployment

Design and implement single agent and multiagent AI solutions with guardrails using opensource AI frameworks

Develop scalable RAG architectures using vector databases and embedding models

Package test optimize and deploy AI agents in cloud and on premises environments

Implement monitoring evaluation and observability mechanisms for AI systems

Write high performing standards compliant code and conduct code reviews

Perform technical feasibility assessments and recommend solution architectures

Work directly with customers to solve complex AI transformation challenges

Stay current with emerging open-source AI technologies and contribute best practices to engineering teams

Mandatory Skills:

12 years of software engineering experience with minimum of 3 years experience in building AI solutions AI agents A2A MCP and agent communication standards

Handson experience in implementing Agentic AI features AI agent orchestration patterns RAG solutions

Customer facing consulting experience

Excellent communication and stakeholder management skills

Ability to translate business requirements into AI powered solutions

Experience in prompt engineering and evaluation frameworks

Experience in implementing AI safety monitoring responsible AI and guardrails

Handson experience using AI Framework like LangChain LangGraph CrewAI etc

Proficiency in Python

Tools/Technologies:

Development

Advanced Python

REST APIs

Async Programming

Microservices Architecture

Software Design Patterns

Distributed Systems

LLM Frameworks

LangChain

LangGraph

CrewAI

LlamaIndex

Haystack

LLM Models

Azure OpenAI Service GPT4o GPT4x oseries models

DeepSeek

Mistral

Llama

Monitoring Evaluation

LangSmith

Deep Eval

OpenTelemetry

Prompt Evaluation

AI Observability

Performance Optimization

Machine Learning Embeddings

Hugging Face Transformers

Hugging Face Inference APIs

Sentence Transformers

Embedding Models

Agentic AI

SingleAgent Systems

MultiAgent Systems

Autonomous Agent Frameworks

Agent Memory

Tool Calling

Workflow Orchestration

HumanintheLoop Design

Infrastructure

Azure

Docker

Azure Kubernetes

Vector Databases

Pinecone

FAISS

ChromaDB