Generative AI Engineer
Job Description
Position Details:
Job Title: GenAI Engineer
Experience : 5+ to 8 years
Location Options: Pune, Gurgaon, Noida, Bangalore , Remote
Skills:
A role requiring strong fundamentals, independent reasoning, and technical ownership.
- Generative AI Concepts
- Coding & Debugging
- Cloud Deployment expertise
- Soft skill and Communication
Job Description
- Working with client stakeholders to gather requirements and translate them into AI/GenAI-based solutions.
- Designing, developing, and deploying Generative AI models leveraging LLMs (OpenAI, Anthropic, Hugging Face, etc.).
- Building prompt frameworks, embeddings, and retrieval-augmented generation (RAG) pipelines.
- Integrating AI models with enterprise workflows, APIs, and client applications.
- Fine-tuning/customizing foundation models for client-specific use cases.
- Ensuring model performance, scalability, and cost efficiency.
- Documenting solution designs, architecture, and providing knowledge transfer to client/internal teams.
- Applying strong programming skills in Python and working with GenAI frameworks and vector databases (Pinecone, Weaviate, FAISS).
- Utilizing cloud platforms (AWS, Azure, GCP) for AI/ML deployment along with Git/GitHub and CI/CD workflows.
- Collaborating with business and functional teams through strong problem-solving and communication skills.
- Bringing in added expertise with ML Ops practices, data engineering tools (Airflow, DBT, Spark), and Life Sciences/Healthcare applications (preferred).
More Info
Key Skills
About Company
Skills:
software engineering practices , Testing, Microservices, Git, Rest Apis, Python, LangChain, Generative AI, AI safety guardrails, AI agent architectures, vector databases, Semantic Kernel, LangGraph, Agentic AI concepts, AI agents, function tool calling, RAG pipelines, LLM-based applications, responsible AI practices, Prompt Engineering, LlamaIndex, LLM evaluation, observability
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, Python, Deep Learning, Vector DB, Hugging Face, Chatbots, Quantization, Claude, Pinecone, Mistral, ChromaDB, LangChain, PEFT, RAG AI Agents, Tools, FAISS, LoRA, Llama, Transformers, OpenAI, Fine-tuning, Gemini, Generative AI LLMs
Skills:
Retrieval-Augmented Generation (RAG) frameworks, Large Language Models (LLMs), Python Programming, Aws Cloud, Restful Apis, Generative AI concepts, Microservices architectures, LangChain or similar orchestration frameworks
Skills:
API design, Angular, Microservices, Vue.JS, React, Databases, Application Architecture, Authentication, Python, Testing, Backend application development, Vector databases, Data integrations, Deployment, AI integration patterns, Generative AI technologies, Java or JVM-based enterprise systems
Skills:
Vector Databases Pinecone Weaviate ChromaDB Milvus FAISS etc., Python, Generative AI GenAI, Retrieval-Augmented Generation RAG, Software Engineering Best Practices, Prompt Engineering, Large Language Models LLMs, LangChain LlamaIndex Semantic Kernel, REST APIs Integration