Experience:

• Minimum of 3+ years of experience in AI-based application development
• Experience fine-tuning large language models (LLMs) or working with domain-specific AI models
• Experience building production-grade AI applications using RAG, AI agents, or multi-agent systems
• Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services

Role Focus:

• Building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications
• Building AI agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks
• Working with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks
• Deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services
• Translating business requirements into scalable AI and machine learning solutions

Additional responsibilities:

• Strong analytical and problem-solving abilities with a passion for solving real-world business challenges
• Excellent communication and collaboration skills for working with cross-functional teams and clients
• Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends
• Ability to work independently while effectively managing priorities in a fast-paced environment
• Strong ownership mindset with attention to quality, performance, and continuous improvement

Nice to have:

• Contributions to open-source AI projects, research publications, or participation in AI communities
• Familiarity with no-code / low-code AI automation platforms such as n8n, Dify, Flowise, or LangFlow
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD)

More skills:

spaCy, Computer Vision, NLP

Other:

• Founded in 2011
• employees
• Overall rating: 3.9
• Work-Life Balance: 3.7
• Salary and Benefits: 3.7
• Company Culture: 3.9
• Career Growth: 3.8
• Diversity and Inclusion: 3.8
• Will Recommend to Friends: 3.9