Forward Deployed AI Engineer

Larsen & Toubro Infotech Ltd (LTI); Bengaluru; Presencial; INR 15.137.000 - 19.868.000; Jornada completa

Descripción de la vacante

Larsen & Toubro Infotech Ltd (LTI) seeks an Associate Principal - Architecture to lead Forward Deployed AI engineering for customer-facing AI solutions. The role emphasizes hands-on development of agentic AI using cutting-edge open-source tools, with responsibilities spanning design, deployment, and governance.

The candidate will collaborate with clients to translate business challenges into scalable AI architectures, including multiagent systems, RAG with vector databases, and robust prompts.

Formación

• 12+ years software engineering with AI solution experience.
• Experience building AI agents and multiagent systems.
• Hands-on in implementing Agentic AI features and orchestration patterns.

Responsabilidades

• Plan, design, and build AI apps using LLMs and Agentic AI frameworks.
• Develop scalable RAG architectures with vector databases and embeddings.
• Package, test, and deploy AI agents in cloud and on-prem environments.
• Implement monitoring, observability, and governance for AI systems.
• Collaborate with customers to solve complex AI transformation challenges.

Conocimientos

AI Engineer

Agentic AI

LangChain

Python

REST APIs

Distributed Systems

MCP and agent communication standards

Cloud deployment

Prompt engineering

Code reviews

Team leadership

LLM orchestration

Herramientas

LangChain

LangGraph

CrewAI

LlamaIndex

Haystack

Azure OpenAI Service

GPT-4o

Descripción del empleo

Associate Principal - Architecture Role Forward Deployed Engineer

Job name as Forward Deployed Engineer Grade P5 Location US

Role Description

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 handson experience in implementing Agentic AI solutions using cuttingedge opensource frameworks vector databases and LLM orchestration platforms

Responsibilities

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 singleagent 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 onpremises environments Implement monitoring evaluation and observability mechanisms for AI systems Write highperforming standardscompliant 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 opensource 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 Customerfacing consulting experience Excellent communication and stakeholder management skills Ability to translate business requirements into AIpowered 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