Job Title

Company DescriptionIVTEX Corporate Solutions is dedicated to delivering cutting-edge, technology-driven solutions tailored to meet the unique and evolving needs of its clients. With a specialized focus on AI, Data Analytics, Consulting, Emerging Technologies, and Cybersecurity, the company empowers businesses to stay competitive in the digital age. IVTEX works collaboratively with various industries, offering scalable and future-ready solutions that enhance operational efficiency and drive success.Experience: 3 YearsRole DescriptionThis is a full-time, on-site Artificial Intelligence Engineer role at IVTEX Corporate Solutions Private Limited, based in Odisha, India. The role involves designing, developing, and deploying AI models and systems, with a special focus on neural networks and natural language processing applications. Day-to-day responsibilities include analysing complex datasets, implementing advanced machine learning algorithms, and collaborating with cross-functional teams to deliver AI-enabled solutions for real-world challenges.Key Responsibilities:Strategic Leadership & Vision- Lead and mentor a team of GenAI engineers and researchers within our mature AI ecosystem - Scale our proven production AI systems, generating thousands of content pieces monthly across multiple business verticals - Define generative AI strategy and roadmap, building upon our established first-mover advantage - Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities - Contribute and own the GenAI governance frameworks and best practicesAdvanced AI Development- Architect and scale sophisticated generative AI systems, building upon our established multi-LLM infrastructure (GPT-4o, Claude Sonnet, Gemini, O1) - Optimize our proven tech stack, including LangChain, CrewAI, LangGraph, and vector databases (Chroma) - Implement advanced RAG, fine-tuning, and prompt engineering across our existing model inventory - Lead development of next-generation agentic AI systems with tool use, reasoning capabilities, and autonomous decision-making - Enhance our multi-agent orchestration platforms and complex workflow automationTechnology Leadership- Drive adoption of agentic AI frameworks, including LangGraph, CrewAI, AutoGen, and Microsoft Semantic Kernel - Lead implementation of multi-agent orchestration platforms and autonomous decision-making systems - Oversee vector databases (Pinecone, Weaviate, Chroma) and semantic search systems - Lead integration of AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow) - Champion AI development platforms and low-code/no-code solutionsEnterprise Integration & Scaling- Scale our mature AI infrastructure supporting thousands of monthly content generations across multiple business verticals - Enhance our proven MLOps and LLMOps practices for continuous model deployment and performance monitoring - Drive technical collaboration for seamless AI integration into established production systems - Optimize edge AI capabilities and multi-environment deployment strategies - Enhance our performance tracking framework, including regression testing, edit ratio tracking, and analytics integrationSkills and Qualifications:Core Technical Expertise- Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience - Expert proficiency in our established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration - Hands-on experience with our model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases - Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments - Hands-on with programming skills in Python with experience in FastAPI, Streamlit, and modern web frameworks - Expert-level understanding of prompt engineering, fine-tuning techniques, and model optimization at scaleAI Architecture & Operations- Experience with vector databases, embedding models, and semantic search implementations - Proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments - Knowledge of AI model serving platforms (vLLM, TensorRT-LLM, Ollama) and inference optimization - Understanding of AI safety, alignment, and responsible AI development practicesTechnical Leadership (Individual Contributor Focus)- Experience providing technical guidance to engineering teams in fast-paced environments - Experience with AI product development lifecycle and technical go-to-market strategies - Strong technical communication and ability to explain AI concepts to technical and non-technical audiences - Knowledge of AI regulation landscape and compliance requirementsModern AI Ecosystem- Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel) - REQUIRED - Experience with compound AI systems and multi-step reasoning architectures - REQUIRED - Experience with multimodal AI systems and computer vision integration - Understanding of federated learning and privacy-preserving AI techniques - Knowledge of AI model evaluation frameworks and benchmarking methodologiesAdvanced Qualifications:Agentic AI Mastery (Required)- Extensive hands-on experience building and deploying agentic AI systems in production environments - Deep understanding of tool-calling, function-calling, and API integration within agent workflows - Proven track record with multi-agent collaboration patterns and complex reasoning chains - Expertise in agent memory systems, context management, and state persistence across interactionsIndustry Integration- Experience scaling production GenAI systems with a proven track record of generating thousands of content pieces monthly - Knowledge of multi-LLM orchestration and model switching strategies for optimal performance and cost efficiency - Understanding of content generation workflows across social media, marketing, and business communications - Familiarity with performance monitoring frameworks, including regression testing and analytics dashboard integrationResearch & Innovation- Experience with AI model interpretability and explainable AI techniques - Knowledge of quantum-classical hybrid AI approaches and emerging paradigmsTechnical Excellence- Advanced degree in Computer Science, AI, or related field (preferred) - Experience building and scaling AI teams in fast-paced environments (preferred) - Experience with AI ethics committees and responsible AI governance (preferred) - Proven ability to drive digital transformation through AI adoption (preferred) - Experience must be at least 3 years.Lead the future of GenAI innovation, where your expertise will build upon our established success in producing generative AI systems. Join a first-mover organization that has already proven the enterprise value of GenAI at scale, generating thousands of content pieces monthly. Your role as Team Lead of Generative AI and LLM will position you to expand our proven AI ecosystem while defining the next generation of agentic AI solutions that drive measurable business impact.