About the role
This is a remote position.
Python / AI Tech Lead
We’re looking for an experienced Python / AI Tech Lead to join our AI and Data Engineering team delivering large-scale Generative AI solutions for leading enterprises across the US and Europe. This role combines technical leadership, solution architecture, and hands-on Python development — driving the delivery of production-grade AI systems built with LLMs, embeddings, and orchestration frameworks such as LangChain and LangGraph.
Requirements
Responsibilities
* Design and develop scalable AI-powered platforms using Python, applying advanced ML and DL principles
* Lead end-to-end delivery from data ingestion to model deployment and API integration
* Collaborate with cloud, data, and product teams to define architecture and implementation strategy
* Mentor engineers, perform code reviews, and ensure adherence to software delivery best practices
* Drive PoCs and industrialisation of Generative AI solutions using enterprise-grade frameworks
* Optimise models and infrastructure for scalability, reliability, and performance in production environments
Requirements
* Strong Python expertise focused on AI and data-centric systems
* Deep knowledge of ML and AI frameworks (scikit-learn, PyTorch, TensorFlow, Hugging Face)
* Experience integrating LLMs (OpenAI, Anthropic, Gemini) and building vector-based retrieval systems
* Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI)
* Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI system design
* Practical knowledge of MLOps and DevOps (Docker, Kubernetes, GitHub Actions, Azure DevOps)
* Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)
* Solid grasp of architecture, APIs, microservices, and security standards (IAM, RBAC)
* Proven leadership experience managing or mentoring engineering teams
* Fluent English (C1 level)
Nice to Have
* Familiarity with data engineering technologies (ETL, Spark, Databricks, Delta Lake)
* Experience in NLP and NLU (NER, semantic search, embedding pipelines)
* Understanding of observability and monitoring (Prometheus, Grafana, MLflow)
* Exposure to event-driven or serverless architectures
Benefits
Benefits
* Competitive remuneration package
* Long-term B2B contract with stable international projects
* Multinational, multilingual working environment
* Private healthcare coverage
* Fully remote model
Originally posted on Himalayas