Generative AI Engineer / GenAI Developer

Experience: 3–10+ Years
Employment Type: Full Time / Contract

Job Description:

We are seeking a skilled Generative AI Engineer to design, build, and deploy GenAI solutions using Large Language Models (LLMs). The ideal candidate will work on AI-powered applications such as chatbots, copilots, document intelligence, and automation tools, collaborating closely with data science, product, and engineering teams.

Key Responsibilities:

• Design and develop GenAI applications using LLMs

• Build and optimize prompt engineering and RAG (Retrieval Augmented Generation) pipelines

• Integrate GenAI models into web and enterprise applications

• Fine-tune and evaluate LLMs for performance and accuracy

• Work with structured and unstructured data (PDFs, documents, APIs)

• Implement AI safety, monitoring, and cost optimization strategies

• Collaborate with cross-functional teams to deliver AI solutions to production

Required Skills:

• Strong programming experience in Python (mandatory)

• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, LLaMA, etc.)

• Experience with LangChain, LlamaIndex, or similar frameworks

• Knowledge of Prompt Engineering and RAG architectures

• Experience with Vector Databases (Pinecone, FAISS, Weaviate, Chroma, Milvus)

• Familiarity with REST APIs and microservices

• Experience deploying models on AWS / Azure / GCP

Nice to Have:

• Fine-tuning using LoRA / PEFT

• Experience with MLOps tools (MLflow, Kubeflow, CI/CD)

• Knowledge of NLP, embeddings, transformers

• Experience with Docker, Kubernetes

• Exposure to AI governance, security, and compliance

Education:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

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