AI/ML engineer

Job Profile:

An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI)

Knowledge of Computer vision related projects.

LLM Expertise:

• Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks.

o Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)

o Structured prompt templates

o Refinement (prompt chaining, decomposition, and verification strategies)

o Safety, Guardrails & Compliance

• Experience building conversational flows (chatbots).

Retrieval-Augmented Generation (RAG) :

• Work with embedding models, vector databases, context windows, and chunking strategies

• Work experience in Vector database (FAISS, Milvus, Pinecone or any)

Machine Learning:

• Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems.

• Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks.

• Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.

Software Engineering:

• Python proficiency.

• Very good understanding and work experience with REST APIs, JSON, YAML.

• Ability to integrate LLM prompts into production applications.

• Familiarity with Git, version control, and experiment tracking.