Lead – AI Solution Engineer
Centific
About the role
About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Role Overview We are seeking a senior, well-rounded technical leader to our AI Solution Engineering team. This role is pivotal in driving the design, implementation workflows. In addition to excellent technical skills, you also need to lead a global team of AI engineers, coach them toward technical and delivery excellence, and manage complex stakeholder relationships across regions and functions. Key Responsibilities Design, develop, and optimize production-grade LLM-based AI solutions. Includes but not limited to workflow design, build scale RAG, fine-tuning, evaluation, and iteration of LLMs and transformer-based models, etc. Wrap and expose AI solutions as scalable, well-documented APIs for internal and external consumption Client engagement on deep-dive technical consultations to align problems with high-impact solutions. Drive the technical execution of scalable, high-performance AI annotation workflows Lead and grow a globally distributed team of AI Solutions Engineers Coach AI engineers on best practices, architecture fundamentals, and delivery maturity Optimize inference and deployment via LLMOps workflows Translate business needs into actionable AI engineering plans and outcomes Champion innovation and continuous improvement in tooling and workflow design Ideal Candidate Profile 7+ years of experience in engineering technical leadership (include 3 years LLM experience), excellent in LLM AI/ML and data-centric environments Proficiency with Python, API development frameworks (FastAPI, Flask), and experience wrapping AI workflows into production-ready RESTful APIs Strong experience in building, deploying, and scale AI agents, Workflows, RAG through LLMOps (such as Azure Foundry, AWS SageMaker/Bedrock, Google Vertex AI/AI Studio, Dify), and APIs Wrapping. Strong experience with LLMs, and fine-tuning models Comfortable cooperate with different region/time zone members, with a strong ownership mindset Comfortable with with LLMOps practices (Docker, CI/CD, model deployment, monitoring) Strong technical leadership, communications, quick response. Strong problem-solving skills and ability to work in fast-paced AI environments What You Bring Strong experience with LLM AI/ML systems, building, deploying, workflow creating, RAG, fine-tuning, etc. And, understanding HIL workflows will be better Excellent experience for LLM AI Production solutions developing, communicating in-depth technical issues and solutions to clients, building overall AI capabilities Solid coding skills in Python, with hands-on experience building and deploying APIs using FastAPI or Flask to expose AI pipelines, models, and workflows as services (REST, GraphQL, etc.) Excellent communication with strategic thinking and execution focus Hands-on experience with cloud platforms (such as Azure Foundry, AWS SageMaker/Bedrock, Google Vertex AI/AI Studio, Dify) Familiarity with data pipelines and scalable AI engineering practices What we offer Attractive remuneration package Private Health Care Insurance Growth and learning opportunities Work in a well-established multinational company Hybrid work setup Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Join a growing company using technology to help tackle enterprises’ toughest challenges.
Requirements
- 7+ years of experience in engineering technical leadership, including 3 years of LLM experience
- Proficiency with Python and API development frameworks (FastAPI, Flask)
- Strong experience in building, deploying, and scaling AI agents, Workflows, and RAG through LLMOps (e.g., Azure Foundry, AWS SageMaker/Bedrock, Google Vertex AI/AI Studio, Dify)
- Strong experience with LLMs and fine-tuning models
- Experience with LLMOps practices including Docker, CI/CD, model deployment, and monitoring
- Ability to lead and cooperate with members across different regions and time zones
- Strong technical leadership, communication, and problem-solving skills
Responsibilities
- Design, develop, and optimize production-grade LLM-based AI solutions, including workflow design, scale RAG, fine-tuning, evaluation, and iteration of LLMs and transformer-based models
- Wrap and expose AI solutions as scalable, well-documented APIs for internal and external consumption
- Conduct deep-dive technical consultations with clients to align problems with high-impact solutions
- Drive the technical execution of scalable, high-performance AI annotation workflows
- Lead and grow a globally distributed team of AI Solutions Engineers
- Coach AI engineers on best practices, architecture fundamentals, and delivery maturity
- Optimize inference and deployment via LLMOps workflows
- Translate business needs into actionable AI engineering plans and outcomes
- Champion innovation and continuous improvement in tooling and workflow design
Benefits
Skills
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