Search by job, company or skills

Gen Ai, LLM Engineer

Gen Ai, LLM Engineer

Infosys
Fresher
Not Disclosed
Early Applicant
  • Posted 2 days ago
  • Be among the first 30 applicants

Job Description

Python, SQL Generative AI, LLMs LangChain, LlamaIndex RAG (Retrieval Augmented Generation) Prompt Engineering OpenAI, Azure OpenAI, Gemini, Claude Vector Databases (FAISS, Pinecone, ChromaDB) REST APIs Docker, Git AWS/Azure/GCP

Design, develop, and deploy Generative AI solutions using LLMs. Build AI-powered chatbots, virtual assistants, and RAG-based applications. Develop and optimize prompts, workflows, and AI pipelines. Integrate LLMs with enterprise applications and APIs. Collaborate with business and engineering teams to deliver AI solutions.

More Info

Job Type:
Industry:
Function:
Employment Type:

Key Skills

LangChain

Generative AI

LLMs

Claude

Pinecone

Vector Databases

FAISS

RAG

OpenAI

ChromaDB

OpenAI Gemini

LlamaIndex

Retrieval Augmented Generation

Prompt Engineering

About Company

Similar Jobs

Bengaluru, India
Skills:
Technology, AI-Data science, AI-Generative AI, Generative AI for Data Analytics
Bengaluru, India
Skills:
Machine Learning, Python, Sql, anomaly detection, Generative AI, Ensemble Modelling, Network Analytics
2-5 yrs
Bengaluru, India
Skills:
Pyspark, Apache Spark, Data Warehousing Concepts, Sql, ELT, Git, Databricks, Python, Etl, Generative AI, LLMs, Claude, Azure OpenAI, Data Pipeline Development, Vector Databases, RAG Frameworks, Llama, Delta Lake, OpenAI
2-4 yrs
Bengaluru, India
Skills:
Java, Cloud Services, Spring Boot, Databases, Python, Event-Driven Architecture, Containerization and Orchestration, messaging systems, Monitoring Observability, Micronaut, CI CD, Unit and Integration Testing, AI LLM Integration, Microservices Architecture, AI Reliability Automation
Bengaluru, India
Skills:
Ocr, AWS, embeddings, workflow-based AI systems, explainability, LLMs, Accuracy, entity extraction, Classification, document intelligence, GenAI solutions, RAG pipelines, NLP concepts, confidence scoring, semantic search, keyword detection