Blue Data Consulting
Website:
bluedataconsulting.in
Job details:
Overview:
We are looking for a passionate GenAI Developer with 2–3 years of software development experience and hands-on exposure to Generative AI technologies. The ideal candidate should have experience building AI-powered applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and modern AI frameworks.
Key Responsibilities:
- Design, develop, and deploy Generative AI applications using LLMs such as GPT, Claude, Gemini, or Llama.
- Build intelligent AI assistants, chatbots, copilots, and workflow automation solutions.
- Develop and optimize RAG pipelines using vector databases and embedding models.
- Integrate AI models with web applications through REST APIs and SDKs.
- Design effective prompts and evaluate model performance for different business use cases.
- Fine-tune or customize open-source LLMs where required.
- Work with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Develop AI agents capable of tool calling and multi-step reasoning.
- Optimize model response quality, latency, scalability, and cost.
- Collaborate with product managers, designers, and backend/frontend developers to deliver AI-powered products.
- Stay updated with the latest developments in Generative AI and recommend improvements.
Required Skills:
- 2–3 years of software development experience.
- Strong proficiency in Python.
- Hands-on experience with OpenAI APIs, Azure OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs.
- Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
- Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Experience with vector databases such as Pinecone, ChromaDB, Weaviate, FAISS, Milvus, or Qdrant.
- Familiarity with embedding models and semantic search.
- Experience building REST APIs using FastAPI or Flask.
- Knowledge of SQL and NoSQL databases.
- Familiarity with Git, Docker, and cloud platforms (AWS, Azure, or GCP).
- Strong debugging, analytical, and problem-solving skills.
Preferred Skills
- Experience with AI agents and autonomous workflows.
- Knowledge of model fine-tuning (LoRA, PEFT) and Hugging Face ecosystem.
- Experience with multimodal AI (text, image, audio, vision).
- Knowledge of MLOps, model deployment, and monitoring.
- Experience with React or other frontend frameworks is an added advantage.
- Understanding of AI safety, evaluation, and responsible AI practices.
Qualification
- Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, or a related field.
- Relevant certifications in AI, Machine Learning, or Cloud platforms are preferred.
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