Website:
toadsters.com
Job details:
GenAI Engineer - Job Description
Location: Noida
Job Type: Full Time
Experience Level: 1-3 years
Job Summary
We are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.
You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.
Key Responsibilities
- Hands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or Mistral
- Strong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)
- Expertise in LangChain / LangGraph for AI workflows, agents, and orchestration
- Experience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)
- Strong Prompt Engineering and optimization techniques
- Proficiency in Python with backend development using FastAPI/Django
- Experience integrating LLM APIs into scalable applications
- Understanding of embeddings, NLP concepts, semantic search, and data preprocessing
- Experience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databases
- MLOps, aws sagemaker, redis, DBMS, distributed systems, microservices
- RAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrant
Good to Have
- Experience with model fine-tuning and training custom models
- Knowledge of LangSmith or other LLM observability tools
- Understanding of token optimization and cost management for LLM applications
- Experience with streaming responses and async processing
- Familiarity with Docker and containerization
- Exposure to cloud platforms (AWS, Azure, or GCP) for AI deployment
- Experience with CI/CD pipelines
- Knowledge of MLOps practices and model versioning
- Understanding of AI safety, ethics, and responsible AI principles
- Experience building conversational AI agents or chatbots
- Frontend integration experience (React, Vue, or Angular)
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
- Relevant certifications in AI/ML or LLM technologies are a plus
What We Offer
- Competitive salary and benefits package
- Opportunity to work on cutting-edge Generative AI projects
- Collaborative and innovative work environment
- Exposure to latest LLM technologies and frameworks
- Career growth and continuous learning opportunities
- Flexible work arrangements
- Mentorship from experienced AI practitioners
Kindly share your resume: gauri.d@toadsters.com
Click on Apply to know more.