Artificial Intelligence Engineer

ACROSSTEK™ is seeking an AI-Ml Backend Engineer with proven expertise in Machine Learning, Language Models, and NLP. The role involves applying machine learning in production, designing scalable ML services, and collaborating with cross-functional teams to enhance product value and workflow efficiency.

Responsibilities:

• Proven Expertise in Machine Learning, Language Models, and NLP
• 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems
• Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks
• Ability to turn prototypes into stable engineering solutions that perform consistently in production environments
• Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development
• Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability
• Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems
• Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality
• Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution
• Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes

Requirements:

• Proven Expertise in Machine Learning, Language Models, and NLP
• 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems
• Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks
• Ability to turn prototypes into stable engineering solutions that perform consistently in production environments
• Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development
• Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability
• Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems
• Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality
• Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution
• Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes