Infosys•7 days ago
Python ML & GenAI Engineer
Recruiter Fit Breakdown & Candid Summary
1
This role is ideal for software and data engineers with foundational experience in modern Generative AI frameworks and cloud platforms.
2
The position requires building production-grade GenAI solutions, RAG pipelines, and agent-based architectures.
3
Candidates should have at least 1 year of experience working with LLMs, vector search, and cloud-native services.
4
Those lacking practical Python and LLM application development experience should not apply.
Role Responsibilities
- 1Design and develop GenAI applications using Python and enterprise LLM platforms.
- 2Build scalable data pipelines for structured and unstructured data processing.
- 3Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions.
- 4Integrate LLMs with enterprise applications through APIs and workflows.
- 5Develop cloud-native AI services on AWS, Azure, GCP, Databricks, or Snowflake.
- 6Create agent-based solutions using LangChain and LangGraph.
Skills Matrix
Must-Have Skills
Python
SQL
ETL(ELT)
LangChain
LangGraph
RAG(Retrieval-Augmented Generation)
AWS
Azure
GCP(Google Cloud Platform)
Nice-to-Have Skills
Databricks
Snowflake
Hugging Face
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