
Gen AI Full stack Engineer
5 days ago
Contact: /
Job Title: GenAI Full Stack Engineer
Location: Remote
Experience: 5+ Years
Overview
We are looking for highly skilled GenAI Full Stack Engineers who are passionate about building, deploying, and scaling AI-driven applications. The ideal candidate will have strong expertise in Python, modern AI/GenAI frameworks, and large language models (LLMs), combined with a solid foundation in full-stack development, MLOps, and DevOps practices.
Key Responsibilities
- Design, develop, and deploy scalable GenAI solutions across diverse domains.
- Implement, fine-tune, and manage Large Language Models (LLMs) to support real-world applications.
- Build and maintain robust APIs using FastAPI for AI-driven systems.
- Work with data manipulation libraries (Pandas, NumPy) to preprocess, transform, and optimize data pipelines.
- Collaborate with cross-functional teams to integrate AI models into production-ready applications.
- Apply MLOps practices to automate model deployment, monitoring, and retraining workflows.
- Ensure software quality through unit testing, CI/CD pipelines, and code reviews.
- Manage infrastructure using Docker, Kubernetes, Jenkins, Terraform, and cloud-native services.
- Contribute to architectural design, scalability planning, and system security.
Required Skills & Qualifications
- 5+ years of professional experience in software development, with strong focus on AI/GenAI.
- Proficiency in Python and familiarity with major AI/GenAI frameworks (e.g., Hugging Face, LangChain, TensorFlow, PyTorch).
- Hands-on experience with LLM implementation, fine-tuning, and management.
- Strong knowledge of FastAPI for API development.
- Solid understanding of data manipulation libraries such as Pandas and NumPy.
- Proven expertise in MLOps, ML Engineering, and Data Science workflows.
- Proficiency with DevOps tools: Docker, Kubernetes, Jenkins, Terraform.
- Experience with CI/CD pipelines and advanced automation practices.
- Strong problem-solving, debugging, and optimization skills.
- Knowledge of software engineering principles, Git version control, and automated testing frameworks.
Preferred Qualifications
- Experience deploying AI solutions in cloud environments (AWS, GCP, or Azure).
- Exposure to vector databases (e.g., Pinecone, Weaviate, FAISS).
- Familiarity with prompt engineering and AI application design patterns.
- Previous work in enterprise-scale AI applications or production-grade deployments.
What We Offer
- Fully remote work environment.
- Competitive salary and performance-based incentives.
- Opportunity to work on cutting-edge AI/GenAI projects.
- Collaborative, fast-paced, and innovation-driven culture.
Job Types: Full-time, Permanent
Pay: ₹2,000, ₹3,000,000.00 per year
Work Location: Remote
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