Senior Artificial Intelligence Engineer

Technodeed It Services; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Technodeed IT Services is hiring a Senior AI Engineer Generative AI, AI Platform, for a remote role in the United States. The ideal candidate has 8+ years of hands-on experience in Generative AI, LLMs, RAG, and AI architecture, with a focus on production-grade deployments and scalable data pipelines.

You will design enterprise AI solutions, build LLM applications across OpenAI, Azure OpenAI, Claude, Llama, and Gemini, and lead AI initiatives while mentoring teams.

Qualifications

• 8+ years of hands-on AI/ML engineering experience.
• Strong background in Generative AI, LLMs, RAG and production deployments.
• Experience with Azure data tools and AI platform architectures.

Responsibilities

• Design enterprise-grade AI and Generative AI solutions.
• Build LLM apps using OpenAI, Azure OpenAI, Claude, Llama, Gemini.
• Develop RAG pipelines, agentic AI workflows, and multi-agent systems.
• Implement prompt engineering, embeddings, vector databases, and MLOps.

Skills

GenAI & LLMs

Python & LangChain

AI Platform & MLOps

Azure OpenAI & Gemini

Vector Databases & Embeddings

RAG & Agentic AI

Job description

Hi, this is Vanshitha from Technodeed IT Services. We are hiring for a remote opportunity for a Senior AI Engineer Generative AI, AI Platform & Azure Data Engineering.

Job Role: Senior AI Engineer Generative AI & AI Platform
Experience: 8+ Years
Work Mode: Remote
Employment Type: Full-Time

Job Summary

We are looking for a Senior AI Engineer with strong hands-on experience in Generative AI, LLMs, RAG, Agentic AI, AI Architecture, and Azure Data Engineering. The candidate will be responsible for designing, developing, and deploying production-grade AI solutions while supporting scalable data engineering pipelines.

Key Responsibilities

• Design and develop enterprise-grade AI and Generative AI solutions.
• Build LLM applications using OpenAI, Azure OpenAI, Claude, Llama, and Gemini.
• Develop RAG pipelines, Agentic AI workflows, and Multi-Agent Systems using LangChain and LangGraph.
• Implement prompt engineering, embeddings, vector databases, LLM evaluation, and LLMOps/MLOps.
• Design AI platform architecture and support the complete AIDLC lifecycle.
• Develop Azure Data Factory pipelines and data solutions using Databricks, PySpark, Delta Lake, and ADLS.
• Work on ETL/ELT, SQL, batch and streaming data processing.
• Integrate data engineering pipelines with AI and GenAI applications.
• Collaborate with stakeholders, lead AI initiatives, and mentor engineering teams.

Required Skills AI/GenAI

• Generative AI, LLMs, RAG, Agentic AI, and Multi-Agent Systems
• Python, LangChain, LangGraph
• OpenAI, Azure OpenAI, Claude, Llama, or Gemini
• Vector Databases, Prompt Engineering, Embeddings, and Semantic Search
• LLMOps/MLOps, AI Governance, AIDLC, and Production Deployment

Azure Data Engineering

• Azure Data Factory (ADF)
• Azure Databricks, PySpark, and Apache Spark
• Delta Lake, Lakehouse, and ADLS
• ETL/ELT, SQL, Data Integration, and Pipeline Monitoring

Preferred Profile

Candidates with strong AI/GenAI expertise as their primary skillset, along with supporting experience in Azure Data Engineering, AI architecture, production deployments, and technical leadership, will be preferred.