Generative AI Architect - Python/LLM

Description :

Job title : Gen AI Architect

Exp : 10-20 years

Location : Remote

Start date : Immediate

Top 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 capabilities.

Key Responsibilities :

- 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 teams.

Required Skills & Experience :

- 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.