Key Responsibilities
Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs.
Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks.
Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications.
Integrate LLMs with APIs, databases, vector stores, and enterprise applications.
Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments).
Collaborate with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions.
Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of current technologies.
Implement MLOps best practices for continuous training, deployment, and monitoring of models in production.
Ensure responsible AI practices, focusing on bias mitigation, data privacy, and compliance.

Required Qualifications




3+ years of experience in software development (Python preferred; familiarity with Java, C#, or Node.js a plus).
3+ years of hands-on experience in Generative AI and LLM-based development.
Solid knowledge of AI/ML fundamentals including NLP, deep learning, embeddings, and transformers.
Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).
Knowledge of LangChain, LlamaIndex, Haystack, or similar frameworks.
Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).
Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).
Knowledge of MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.
Robust problem-solving, analytical, and communication skills.

📌 Ai Ml Engineer Noida (India)
🏢 KnowledgeWorks Global (KGL)
📍 India