AI ML Engineer with Agentic AI Engineer
Position: AI ML engineer with Agentic AI experience
Location: Remote, US (2 positions)
Type: Contract
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:
ā¢ 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.
ā¢ Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
ā¢ Structured prompt templates
ā¢ Refinement (prompt chaining, decomposition, and verification strategies)
ā¢ Safety, Guardrails & Compliance
ā¢ Experience building conversational flows (chatbots).
Retrieval-Augmented Generation (RAG) :
ā¢ Work with embedding models, vector databases, context windows, and chunking strategies
ā¢ Work experience in Vector database (FAISS, Milvus, Pinecone or any)
Machine Learning:
ā¢ Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems.
ā¢ Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks.
ā¢ Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.
Software Engineering:
ā¢ Python proficiency.
ā¢ Very good understanding and work experience with REST APIs, JSON, YAML.
ā¢ Ability to integrate LLM prompts into production applications.
ā¢ Familiarity with Git, version control, and experiment tracking.
Apply tot his job
Apply To this Job
Location: Remote, US (2 positions)
Type: Contract
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:
ā¢ 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.
ā¢ Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
ā¢ Structured prompt templates
ā¢ Refinement (prompt chaining, decomposition, and verification strategies)
ā¢ Safety, Guardrails & Compliance
ā¢ Experience building conversational flows (chatbots).
Retrieval-Augmented Generation (RAG) :
ā¢ Work with embedding models, vector databases, context windows, and chunking strategies
ā¢ Work experience in Vector database (FAISS, Milvus, Pinecone or any)
Machine Learning:
ā¢ Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems.
ā¢ Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks.
ā¢ Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.
Software Engineering:
ā¢ Python proficiency.
ā¢ Very good understanding and work experience with REST APIs, JSON, YAML.
ā¢ Ability to integrate LLM prompts into production applications.
ā¢ Familiarity with Git, version control, and experiment tracking.
Apply tot his job
Apply To this Job