Generative AI Architect – Python / LLM

Job Description

Description :

Job title : Gen AI Architect

Exp : 10-20 : Remote

Shift Timings : 9 to 5 PM CST (daily working hours to have 50% of overlap with US Core Team and occasional exceptions for meetings that could occur later in the day (this should not happen date : 3 skills which is mandatory :
• AI / ML programming, Python, Cloud (Azure, AWS, or GCP), LangChain, RAG, Hugging Face Transformers, and vector databases

Role Summary :

We are seeking a highly skilled and technically strong Senior GenAI Engineer to lead the design and development of advanced AI / GenAI solutions for Hilcos Corporate Intelligence platform.

This role requires an expert in AI programming and architecture who can build robust, scalable systems and deliver cutting-edge GenAI Responsibilities :
• Architect and implement GenAI solutions for enterprise-scale automation, including prospect research and watchlist creation.
• Hands-on coding and development of AI / LLM-based applications using Python and modern AI frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Design and enforce architecture patterns for scalable, secure, and high-performance AI systems.
• Develop and optimize prompt engineering strategies for LLMs to enable accurate and context-aware outputs.
• Build agentic AI workflows for data ingestion, processing, and intelligent automation.
• Collaborate with data engineers and solution architects to ensure seamless integration of external APIs and internal data sources.
• Drive performance tuning and model optimization for GenAI components.
• Provide technical leadership and mentorship to offshore development Skills & Experience :
• Expert-level proficiency in AI / ML programming with strong Python skills and experience in building production-grade AI systems.
• Deep knowledge of LLM architectures, prompt engineering, and agent frameworks.
• Proven experience in solution architecture for AI / GenAI platforms, including integration with enterprise data ecosystems.
• Hands-on experience with API integration, data pipelines, and distributed systems.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization (Docker / Kubernetes).
• Strong problem-solving skills and ability to work independently on complex technical challenges.

Preferred Qualifications :
• Experience with LangChain, Hugging Face Transformers, and vector databases (e.g., Pinecone, Weaviate).
• Knowledge of retrieval-augmented generation (RAG) and multi-agent orchestration.
• Prior experience in enterprise AI deployments with strict security and compliance requirements.

(ref : hirist.tech)