Gen AI Developer

Overview

We are seeking a skilled Generative AI Developer to design, build, and deploy AI-powered applications using large language models (LLMs) and other generative models. You will work on cutting-edge solutions involving text, code, image, and multimodal generation to solve real-world problems.

Key Responsibilities

• Design and develop applications using LLMs (e.g., GPT, open-source models)
• Build and optimize prompts, chains, and AI workflows
• Fine-tune and evaluate models for domain-specific use cases
• Develop APIs and backend systems integrating AI capabilities
• Work with vector databases and embeddings for retrieval-augmented generation (RAG)
• Ensure scalability, performance, and cost-efficiency of AI systems
• Implement guardrails for safety, bias mitigation, and responsible AI usage
• Collaborate with product, data, and engineering teams

Required Skills & Qualifications

• Strong programming skills in Python (preferred) or JavaScript
• Experience with LLM frameworks (e.g., LangChain, LlamaIndex)
• Familiarity with APIs from providers like OpenAI, Anthropic, etc.
• Understanding of NLP concepts and transformer architectures
• Experience with REST APIs, microservices, and cloud platforms (AWS, Google Cloud Platform, or Azure)
• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS)
• Version control (Git) and software engineering best practices

Preferred Qualifications

• Experience fine-tuning open-source models (e.g., LLaMA, Mistral)
• Knowledge of prompt engineering techniques and evaluation methods
• Familiarity with MLOps tools and deployment pipelines
• Experience with multimodal AI (image, audio, video)
• Background in machine learning or data science

Tools & Technologies

• Languages: Python, JavaScript
• Frameworks: LangChain, LlamaIndex, FastAPI
• AI Models: GPT, Claude, LLaMA, Mistral
• Databases: Vector DBs, SQL/NoSQL
• Cloud: AWS, Azure, Google Cloud Platform
• DevOps: Docker, Kubernetes (optional)