Time since we first saw it
Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Senior Python Software Engineer for the Big Data/AI Retraining Program
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingLearn MLOps fundamentals
Build AI agents with LangChain
Implement Retrieval Augmented Generation (RAG) techniques
Develop LLM memory systems for advanced applications
Build production-ready RAG systems with LangChain and LlamaIndex
From the employer’s posting
Gain foundational understanding of Machine Learning Operations (MLOps)
Explore AI Agents in LangChain and build proficiency in related tools
Implement Retrieval Augmented Generation (RAG) techniques
Develop insights into LLM memory systems for advanced applications
Master production-ready RAG systems with LangChain and LlamaIndex
What you’ll bring
All qualificationsCore experience
- 4+ years of production experience in IT
- Proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure)
- Background in Databricks, Spark, Docker and Kubernetes
- Familiarity with AI and large language models (LLMs)
- English proficiency at B2 level or higher
Qualification wording
4+ years of production experience in IT
Proficiency in Python, SQL, and cloud platforms such as AWS, GCP, or Azure
Background in tools like Databricks, Spark, and container technologies including Docker and Kubernetes
Familiarity with AI and Large Language Models (LLMs)
English proficiency at B2+ level or higher
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Docker
- GCP
- Kubernetes
- Spark
Source — Tool mentions in context
We are seeking a Senior Python Software Engineer to join our Big Data/AI Retraining Program, designed for experienced professionals eager to transition into Big Data and AI engineering. This exclusive 8-week program will equip you with the skills required to excel in cutting-edge technologies, while maintaining your current title and compensation. Responsibilities Gain foundational understanding of Machine Learning Operations (MLOps) Explore AI Agents in LangChain and build proficiency in related tools Acquire expertise in LangGraph and its applications Implement Retrieval Augmented Generation (RAG) techniques Develop insights into LLM memory systems for advanced applications Refine evaluation strategies for AI builders using LLMs Build and assess advanced Retrieval Augmented Generation (RAG) functionalities Master production-ready RAG systems with LangChain and LlamaIndex Requirements 4+ years of production experience in IT Proficiency in Python, SQL, and cloud platforms such as AWS, GCP, or Azure Background in tools like Databricks, Spark, and container technologies including Docker and Kubernetes Familiarity with AI and Large Language Models (LLMs) English proficiency at B2+ level or higher
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 202612 days ago
- Recorded sightings
- 13
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
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About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
We are seeking a Senior Python Software Engineer to join our Big Data/AI Retraining Program, designed for experienced professionals eager to transition into Big Data and AI engineering. This exclusive 8-week program will equip you with the skills required to excel in cutting-edge technologies, while maintaining your current title and compensation. Responsibilities Gain foundational understanding of Machine Learning Operations (MLOps) Explore AI Agents in LangChain and build proficiency in related tools Acquire expertise in LangGraph and its applications Implement Retrieval Augmented Generation (RAG) techniques Develop insights into LLM memory systems for advanced applications Refine evaluation strategies for AI builders using LLMs Build and assess advanced Retrieval Augmented Generation (RAG) functionalities Master production-ready RAG systems with LangChain and LlamaIndex Requirements 4+ years of production experience in IT Proficiency in Python, SQL, and cloud platforms such as AWS, GCP, or Azure Background in tools like Databricks, Spark, and container technologies including Docker and Kubernetes Familiarity with AI and Large Language Models (LLMs) English proficiency at B2+ level or higher
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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