AI Engineer Job Vacancies in Jaipur

We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs.Must-Have SkillsStrong coding ability in Python and proficiency in SQL.Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.Familiarity with LangChain, LlamaIndex, or similar orchestration tools.Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).Experience building and optimizing RAG pipelines.Solid understanding of server less/cloud-native architecture and event-driven design.Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have SkillsExposure to agentic AI patterns and multi-agent coordination.Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.Understanding of concept/data drift and retraining strategies in production.Experience working on AI projects involving classification, regression, and clustering models.Prior work on multi-modal AI pipelines (vision + language).Familiarity with real-time inference tuning (batching, concurrency).Demonstrated ability to deliver a variety of AI solutions in production environments across domains.Any Other:Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Strong analytical mindset with a clear focus on business-aligned AI delivery.Excellent verbal and written communication skills.Key ResponsibilitiesCollaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).Build and deploy scalable RAG pipelines using vector databases and embedding models.Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.Optimize inference performance for cloud and edge environments.Contribute to the development of feedback loops, drift detection, and self-healing AI systems.Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

Job Description: AI/ML Engineer(Full-Stack Development)Position: AI/ML EngineerType: Full-Time / ContractLocation: Remote / Onsite (Flexible)Experience Level: 2-4 years (Intermediate)About the Role:We are a growing company looking for a versatile and self-driven AI/ML Engineer to lead thedevelopment of an AI-powered customer support solution. You will be responsible for designing,developing, and deploying a human-like conversational AI tool. This is a unique opportunity totake ownership of the entire AI lifecycle while contributing to a groundbreaking product in a leanand agile environment.Key Responsibilities:AI and Machine Learning Development Design, train, and fine-tune AI models for sentiment analysis, speech recognition, andconversational AI. Build models that adapt to regional dialects, informal language, and varying emotionaltones. Develop and optimize a self-training module that learns from human interactions.Software Development Design and develop APIs for seamless voice-based interaction and system integration. Implement scalable and efficient backend architecture to support AI functionalities. Build front-end interfaces or dashboards for training, monitoring, and analytics.Integration Integrate the AI tool with customer platforms, such as CRMs, telephony systems, andemail support tools. Ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voicefunctionalities.Testing and Optimization Conduct end-to-end testing to ensure high-quality performance and robustness. Optimize algorithms for real-time response and low latency.Project Ownership Manage data preparation and processing pipelines. Collaborate with stakeholders to prioritize features for a minimum viable product (MVP). Stay up-to-date with the latest AI/ML tools and frameworks for continuous improvement.Required Skills and Qualifications: Education: Bachelors or Masters degree in Computer Science, Artificial Intell