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GenAI Developer
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GenAI Developer
Infosys LimitedThis job is no longer accepting applications
Job Description
Responsibilities :
Design and implement Generative AI solutions using LLMs (GPT, Llama, etc.) Build and optimize prompt engineering frameworks and AI pipelines Develop AI-powered applications using Python, LangChain, and relevant frameworks Integrate GenAI solutions with enterprise systems and APIs Fine-tune and deploy models across cloud platforms (Azure/AWS/GCP) Ensure scalability, performance, and responsible AI practices Collaborate with cross-functional teams for solution deliveryAdditional Responsibilities:
Experience: 12â€'15 Years Relevant Experience: 3+ Years in GenAI/AI/ML Location: BangaloreTechnical and Professional Requirements:
3-4 years of hands-on experience in GenAI / AI / ML Strong knowledge of LLMs, NLP, deep learning concepts Expertise in Python, AI frameworks (PyTorch/TensorFlow) Experience with LangChain, vector databases, RAG architectures Good understanding of cloud platforms (Azure OpenAI preferred) Experience in API integrations and microservices architecture Preferred Skills: Experience with fine-tuning models and embeddings Exposure to MLOps tools and deployment pipelines Strong problem-solving and stakeholder communication skillsMore Info
Job Type:
Industry:
Role:
Function:
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Key Skills
prompt engineering
LLMs
GPT
MLOps tools
Llama
cloud platforms
vector databases
deployment pipelines
API integrations
LangChain
AI pipelines
RAG architectures
microservices architecture
Generative AI
About Company
Skills:
Tensorflow, Pytorch, Python, LangChain, Generative AI, microservices architecture, API integrations, vector databases, prompt engineering, RAG architectures
Skills:
bedrock , Nodejs, Sql, Unix, Rest Api, Splunk, Grafana, Elk, Linux, React, AWS, Prometheus, Python, Kubernetes, Gcp, Docker, PagerDuty, Alert Manager, Dataiku, GenAI, R, Jupyter Notebooks
Skills:
Java, Spring Boot, AI ML, Kubernetes, Microservices, AWS, GenAI
Skills:
Sql, Tensorflow, Numpy, Pandas, Pytorch, XGBoost, Python, Vector search, LangChain, Prompt engineering, RandomForest, LightGBM, LangSmith, Scikit-Learn, AutoGen, LangGraph, Agentic AI workflows, Embedding models, RAG architectures
Skills:
Express.Js, PostgreSQL, Node.js, Redis, Typescript, Docker, MongoDB, Azure, Jest, LangChain, AWS Bedrock, Playwright, Qdrant, Pinecone, PGVector, OpenAI API, LangGraph, RAG Retrieval-Augmented Generation