Generative AI Tech Lead – LLMs, MLOps, AWS
Employment Information
Job Description
Machine Learning Tech Lead driving development of large-scale AI systems at Provectus. Leading a team and shaping Generative AI and LLM initiatives in an AI-first consultancy.
Responsibilities:
- Lead, mentor, and grow a team of 5–10 ML, Data, and Software Engineers
- Define and drive the technical roadmap for ML/AI initiatives
- Foster a high-performance culture focused on ownership, learning, and engineering excellence
- Work closely with Product, Data, and Platform teams to deliver end-to-end AI systems
- Design, fine-tune, and deploy LLMs and ML models for real production use cases
- Build systems for RAG, summarization, text generation, entity extraction, and other NLP/LLM workflows
- Explore and implement emerging GenAI/LLM techniques and infrastructure
- Contribute across the ML stack: NLP, deep learning, CV, RL, and classical ML
- Architect and operate scalable ML/AI systems using AWS (SageMaker, Bedrock, Lambda, S3, ECS/ECR…)
- Optimize model training, inference pipelines, and data workflows for scale, cost, and latency
- Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and automation
- Ensure security, reliability, observability, and compliance across ML workloads
- Lead the full ML lifecycle: research - experimentation - prototyping - production - maintenance
- Perform code reviews, lead architecture discussions, and ensure engineering best practices
- Troubleshoot and optimize production ML systems
- Communicate project status, risks, and decisions to stakeholders and leadership
Requirements:
- 5+ years of hands-on experience in Machine Learning, Deep Learning, or NLP
- 2+ years in a technical leadership or team lead role
- Strong expertise with **LLMs** (Hugging Face, OpenAI, Anthropic) and modern NLP stacks
- Strong hands-on experience with **AWS ML ecosystem** (SageMaker, Bedrock, Lambda, S3, ECS/ECR)
- Excellent Python engineering skills and proficiency with PyTorch or TensorFlow
- Experience building **ML systems in production**, not just research
- Solid knowledge of MLOps/LLMOps tools, pipelines, and deployment best practices
- Strong architectural thinking and ability to design scalable ML systems
- Excellent communication skills and ability to lead cross-functional teams
- Passion for mentoring engineers and raising the technical bar
- Experience with Bedrock Agents, RAG pipelines, agentic workflows, or vector search
Benefits:
- Sing-up bonus
- 10% Annual bonus
- Long-term B2B collaboration
- Fully remote setup
- Comprehensive private medical insurance or budget for your medical needs.
- Paid sick leave, vacation, and public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
Similar Jobs
AI Engineer
Lingaro
AI Engineer developing scalable ML/AI applications in cloud environments for the Data Science and AI Competency Center. Collaborating on production-ready ML solutions with technical leadership.
AI Architect
cognitivo AG
AI Architect designing and developing innovative software architectures for AI agent systems at Cognitivo AG. Focused on enhancing capabilities of large language models and multi-chain processing.
Senior Staff AI Engineer, Enterprise AI
GE HealthCare
Senior Staff AI Engineer developing innovative GenAI and AI solutions for GE HealthCare. Collaborating with cross-functional teams to drive measurable business impact using AI technologies.
Staff AI Engineer – Enterprise AI
GE HealthCare
Staff AI Engineer developing GenAI and Agentic AI solutions at GE HealthCare. Collaborating with cross-functional teams to deliver scalable and innovative AI-driven insights.
Senior Director – AI Engineering, Application Development
GE HealthCare
Senior Director leading AI Engineering and Application Development at GE HealthCare. Driving innovative AI tools for business processes across various functions.
AI Engineer – Clearance Required
LMI
AI Engineer supporting U.S. Army's Holistic Health & Fitness Management System, developing ML models and algorithms for Soldier readiness assessments.
SOAR & AI Lead
Dragonfli Group
SOAR & AI Lead managing cybersecurity solutions at Dragonfli Group for federal agencies. Overseeing development and operationalization of cybersecurity capabilities in a high-impact role.
Co-Founder – Product, Competitive Intelligence AI Platform
IndustryLens
Co-Founder for an AI-driven competitive intelligence platform targeting B2B SaaS companies. Leading product discovery and growth strategies in a remote-friendly, collaborative environment.
AI Architect
SNHU Careers
AI Architect guiding design and implementation of AI-powered solutions at Southern New Hampshire University. Collaborating on AI use cases and supporting digital business models.
Senior AI Engineer
lemlist
Senior AI Engineer designing and implementing cutting-edge AI architecture for lemlist’s Sales Engagement Platform. Collaborating with cross-functional teams to deliver impactful AI solutions and mentor best practices.
Senior Software Engineer – Conversational AI Platform
Century Interactive
Senior Software Engineer developing conversational voice AI solutions for the automotive industry at Century Interactive Company. Leading design, implementation, and deployment of highly scalable AI systems.
Senior Software Engineer – AI Platform, AI Engineering
Red Hat
Senior Software Engineer contributing to Red Hat AI Platforms technologies and solutions. Leading development and participating in open-source community efforts in AI and hybrid cloud.
Senior Software Engineer – Secure Cloud, AI Engineering Systems
BPCS, Comprehensive marketing solutions, ltd.
Senior Software Engineer focused on developing secure, cloud-native AI solutions. Collaborating with an engineering team to innovate CI/CD pipelines and integrate security best practices.
Senior AI Engineer
Paper
Senior AI Engineer designing, developing, and operationalizing AI solutions for Paper's educational support platform. Collaborating across teams to build scalable, effective AI systems.
AI Engineer II
VCU Health
AI Engineer II at VCU Health developing AI solutions to enhance clinical care and operational efficiencies. Collaborate with multi-disciplinary teams on predictive modeling and ML algorithms.
AI Engineer
Onebridge
AI Engineer responsible for developing AI-powered services and collaborating with teams at Onebridge. Leading innovative projects and enhancing systems in AI technologies.
Forward Deployed AI Engineer, Customer Adoption and Innovation
Red Hat
Forward Deployed AI Engineer at Red Hat optimizing AI inference solutions for customers. Leading technical delivery and providing expert advice on OpenShift and Kubernetes platforms.
Senior Director, AI Engineering
SentinelOne
Lead AI Engineering at SentinelOne, shaping AI capabilities for cutting-edge cybersecurity. Drive strategy and execution to protect against tomorrow's threats with innovative solutions.
Applied AI Engineer
Webflow
Applied AI Engineer developing AI-powered applications for Coconut. Responsible for designing, developing, and maintaining AI solutions aligned with business goals.
Software Architect, Data & AI Platform Strategy
Invoca
Software Architect driving technical vision and AI initiatives for Invoca's SaaS platform. Leading teams to optimize data management and architecture with a focus on customer success.