Gen AI Technical Lead (Remote)-1

Descrição da Vaga

Requisitos

• 10+ years of software engineering experience; 3+ years in applied AI/ML engineering
• Strong proficiency in Python, AI frameworks (PyTorch, TensorFlow), and API-driven development
• Hands-on expertise with GenAI, LLM orchestration frameworks, RAG pipelines, and vector databases (Pinecone, FAISS, Azure AI Search)
• Experience developing Agentic AI using tools/functions integration, planning agents, workflows, or multi agent systems
• Deep understanding of cloud platforms: Preferably Azure, including ML Ops and containerization (Docker, Kubernetes)
• Solid understanding of system design, distributed computing, microservices, and API architecture
• Excellent communication skills
• Strong leadership abilities with experience managing technical teams
• A problem-solving mindset with a focus on innovation, quality, and delivery
• Ability to work in dynamic, cross-functional environments
• CLOUD DEVELOPER

Responsabilidades

• We are seeking an experienced AI Technical Lead to design, build, and scale AI systems with a strong focus on Generative AI, Agentic AI architectures, and robust software engineering best practices
• This role involves driving end-to-end AI solution development—from model selection and fine tuning to system design, deployment, and operationalization
• You will lead technical strategy, mentor engineering teams, and work closely with product, architecture, and business stakeholders to deliver AI-driven capabilities across the enterprise
• AI Engineering & Solution Delivery
• Lead the design and development of Generative AI solutions using LLMs, multimodal models, and diffusion models
• Build and maintain Agentic AI systems, including autonomous agents, tools integration, reasoning frameworks, and multi-agent workflows
• Develop production-grade AI components using strong engineering principles: modularity, maintainability, observability, and testing
• Optimize models for performance, latency, and cost using techniques like quantization, distillation, and retrieval augmentation
• Software Design
• Design scalable, secure, and compliant AI solutions aligned with enterprise engineering standards
• Ensure adherence to best practices in software development, version control, CI/CD, containerization, and LLMOps/MLOps
• GenAI & Agentic AI Focus
• Lead development of applications using LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
• Build RAG pipelines, vector-based retrieval systems, and knowledge grounding solutions
• Create autonomous and semi-autonomous AI agents capable of task execution, planning, and reasoning
• Drive experimentation with new GenAI techniques—prompt engineering, tool use, function calling, fine-tuning, and model fine-tuning
• Evaluate emerging frameworks: LangChain, Semantic Kernel, AutoGen, etc
• Leadership & Collaboration
• Lead a team of AI engineers and developers; provide mentoring, coaching, and technical guidance
• Translate business requirements into technical actionable engineering plans
• Partner with product teams to define AI capabilities, roadmaps, and delivery milestones
• Evangelize AI best practices and contribute to AI governance, ethics, and responsible AI frameworks