SENIOR TECHNICAL CONSULTANT - DATA AND AI

Accountabilities • Own end-to-end delivery of GenAI and agentic AI solutions, including design, development, testing, deployment, and ongoing production support in client environments. • Translate solution designs into scalable Python-based services and workflows, integrating LLMs and AI capabilities into enterprise systems. • Build and maintain agentic and multi-step workflows using orchestration frameworks such as LangGraph, LangChain, or similar tools. • Design robust APIs and tool interfaces for AI agents with proper schemas, versioning, error handling, and observability integration. • Implement and maintain retrieval-augmented generation (RAG) pipelines and optimize model performance using structured tuning and evaluation methods. • Establish monitoring, logging, and evaluation frameworks to ensure reliability, quality, and safety of AI systems in production. • Collaborate with product, engineering, and domain stakeholders to convert requirements into production-ready AI solutions and participate in architecture and design reviews. • Support junior engineers, contribute to reusable engineering patterns, and actively use AI tools to accelerate development and delivery. Requirements • 5+ years of experience in data science, machine learning, deep learning, or AI engineering roles with strong production exposure. • Strong Python programming skills with a focus on scalable, maintainable, and production-ready code. • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn. • Solid understanding of transformer architectures, attention mechanisms, and modern generative AI concepts including RAG, fine-tuning, and transfer learning. • Experience deploying and operating ML or GenAI systems in production, including monitoring, versioning, and lifecycle management. • Familiarity with LLM providers and platforms such as OpenAI, Anthropic Claude, LLaMA, AWS Bedrock, or Azure OpenAI. • Experience with agentic workflows or orchestration frameworks (LangChain, LangGraph, or similar). • Understanding of cloud platforms (AWS/Azure), including deployment, observability, and serverless patterns. • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. • Experience in client-facing or pre-sales activities such as solution design, estimation, or scoping is a plus. Benefits • Competitive compensation aligned with experience and industry benchmarks • Comprehensive health insurance coverage with options for dependents • Flexible work arrangements supporting work-life balance • Paid time off, holidays, and additional leave benefits as per policy • Learning and certification support for continuous professional growth • Employee wellness programs focused on physical and mental well-being • Inclusive, collaborative, and people-first global work culture • Exposure to cutting-edge AI projects and enterprise-scale transformations How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1