Lead Generative AI Engineer

Job Title: Lead Generative AI Engineer

Location: Remote

Job Type: Full-Time

Experience: 12+ Years

Eligibility: H4 EAD / L2S / GC / USC / TN only

Note: No C2C / No consultancy resumes

Job Summary

We are looking for a highly skilled Senior Python Lead with strong expertise in Generative AI, Large Language Models (LLMs), and modern AI application development. The ideal candidate will lead the design and development of scalable AI-powered platforms, intelligent automation solutions, and enterprise-grade Gen AI applications using Python and cloud technologies.

The candidate should have hands-on experience with AI frameworks, prompt engineering, model integrations, vector databases, and deploying AI solutions in production environments.

Key Responsibilities

* Lead architecture, design, and development of Gen AI and AI-powered applications.

* Develop scalable backend services and APIs using Python.

* Build and integrate Large Language Model (LLM) solutions using OpenAI, Anthropic, Gemini, or open-source models.

* Design Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.

* Work with vector databases for semantic search and knowledge retrieval.

* Collaborate with data scientists, DevOps teams, and product stakeholders.

* Optimize AI model performance, latency, scalability, and security.

* Implement prompt engineering and fine-tuning strategies for enterprise use cases.

* Lead technical discussions, code reviews, and mentor engineering teams.

* Deploy AI applications on cloud platforms such as Azure, AWS, or GCP.

* Ensure best practices in CI/CD, monitoring, testing, and MLOps.

Required Skills

* Strong experience in Python development.

* Hands-on experience with Generative AI and LLM ecosystems.

* Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.

* Strong knowledge of OpenAI APIs and AI model integrations.

* Experience building RAG-based applications.

* Knowledge of vector databases like Pinecone, Weaviate, ChromaDB, or FAISS.

* Experience with FastAPI, Flask, or Django.

* Strong understanding of REST APIs and microservices architecture.

* Experience with Docker, Kubernetes, and CI/CD pipelines.

* Cloud experience in Azure, AWS, or GCP.

* Experience with Git, Agile, and DevOps practices.

* Strong problem-solving and leadership skills.

Good to Have Skills

* AI Agent development experience.

* Multi-agent orchestration frameworks.

* Experience with Hugging Face and open-source LLMs.

* Fine-tuning and model evaluation experience.

* Knowledge of MLOps and AI governance.

* Experience with Neo4j or Graph databases.

* Exposure to NLP and Deep Learning concepts.

* Experience with monitoring tools like Grafana and Prometheus.

Share your resumes at [email protected]