AI Engineer

Tata Consultancy Services Limited
Minneapolis, MN, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$120,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Business Systems Python (Programming Language) Machine Learning Tensorflow Search Technologies Software Engineering Pytorch Large Language Models
+7 more
Prompt Engineering Generative AI Information Technology Machine Learning Operations Software Version Control Automation Anywhere Microservices

Job description

  • Design and develop AI/ML and Generative AI solutions, from POC to production

  • Build LLM based applications using techniques such as RAG, prompt engineering, embeddings, and tool calling

  • Implement AI workflows, agents, and pipelines using modern AI frameworks

  • Develop APIs, microservices, or batch pipelines to integrate AI into business systems

  • Work closely with product owners and business teams to refine AI use cases

  • Apply MLOps / LLMOps practices for model versioning, evaluation, and monitoring

Requirements

Do you have experience in Software engineering?, Do you have a Bachelor’s degree?, * 4-7 years of experience in Python based software development

  • Hands on experience with:

o Machine Learning models and workflows o Generative AI and Large Language Models o Prompt engineering, vector databases, and semantic search

  • Experience with AI frameworks such as TensorFlow, PyTorch, LangChain, LlamaIndex, or similar

  • Experience deploying solutions on cloud platforms (Azure/AWS/GCP), Qualifications : BACHELOR OF COMPUTER SCIENCE

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:07 min

Transitioning architecture to microservices at Netflix

Steve Upton Steve Upton · WWC 2022

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:36 min

Exploring high-level Python frameworks for accelerated enterprise artificial intelligence

Paul Graham Paul Graham · LIVE

4:41 min

Replacing PyTorch with ONNX runtime for AWS Lambda deployments

Marek Suppa · LIVE

Videos

See all

Related articles

See all