Immediate Start Generative Ai Engineer

3 weeks ago


Yelahanka, India Nexoria Techworks Inc. Full time

Job Description: Generative AI Engineer Location: Remote / Bangalore Employment Type: Full-time Department: AI & Research Industry: IT Services & Consulting Role Category: AI/ML – Generative AI Role & Responsibilities: As a Generative AI Engineer, you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows. Your core responsibilities will include: - Build Production RAG/Agentic Flows: Develop and implement advanced retrieval-augmented generation (RAG) flows, including tasks like chunking/embeddings, retrieval, tool/function calling, and caching for scalable AI solutions. - Evaluation Harnesses: Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness. Perform regression checks to ensure the stability of models over time. - Guardrails & Content Safety: Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage. You will be responsible for documenting prompts/configs and optimizing for cost and latency considerations. - API/SDK Development: Develop and ship high-performance APIs/SDKs used by both web and mobile teams, ensuring seamless integration of AI-driven features. - Cross-functional Collaboration: Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards. Desired Candidate Profile: - Experience: 1–2 years of experience in backend/application development with a focus on AI/ML systems, especially in Generative AI, LLMs, and AI-powered applications. - Technical Skills: - Proficiency in backend programming languages like Python or TypeScript. - Practical experience working with Generative AI models, especially around model deployment, prompt engineering, and scaling solutions. - Familiarity with Vector Databases (e.G., Pinecone, Weaviate) for managing embeddings and data retrieval. - Experience with tools like LangChain or LlamaIndex for building AI-powered systems. - Understanding of caching strategies to optimize system performance. - Knowledge of observability principles and tracing techniques to monitor AI model performance in production environments. - Education: - B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, AI, Data Science, or a related field. Key Skills: - Generative AI - RAG (Retrieval-Augmented Generation) - LLMs (Large Language Models) - Embeddings - Vector Databases (e.G., Pinecone, Faiss) - Prompting Techniques - LangChain/LlamaIndex - FastAPI - Node.Js/TypeScript - Caching - Observability - Model Deployment - Content Safety - Monitoring & Analytics - Backend Development (Python/TypeScript) Notice Period: - Immediate to 30 days preferred. #GenerativeAI #BackendDevelopment #LLMs #AI #AIEngineer #RAG #Embeddings #VectorDB #LangChain #LlamaIndex #Python #TypeScript #API #Caching #Observability #AIResearch #ContentSafety #FastAPI #NodeJS #TechJobs #RemoteJobs #BangaloreJobs #AIinIT #ITConsulting #MachineLearning #AIandML


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