Senior AI Engineer

Summary

Join InVitro Capital, a venture studio building and scaling transformative companies, as a Senior AI Engineer. You will lead the development of cutting-edge AI platforms for industries like healthcare, finance, and commerce. Responsibilities include designing and implementing AI-driven systems, optimizing model strategies, engineering AI agents, enhancing model accuracy, and collaborating with clients. You will leverage advanced tools like ChatGPT and cloud platforms (AWS, Azure, GCP). This role requires a strong focus on process automation and client-facing collaboration. InVitro Capital offers a competitive compensation package and a supportive work environment.

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience: 6+ years in AI solution engineering with a strong focus on process automation and client-facing collaboration
• AI Agent Experience (Required): Demonstrated experience in designing, building, testing, and deploying AI agents using frameworks such as Crew AI, Windsurf, LangChain, Rasa, or equivalent toolkits
• Technical Expertise: Proficient in using and integrating AI tools like ChatGPT, OCR technologies, and workflow automation frameworks
• Machine Learning Expertise: Proven experience in model development, transfer learning, ensemble methods, and online learning strategies. Familiarity with MLOps practices for model monitoring and retraining workflows
• Data Engineering Skills: Proficiency in data preprocessing, handling structured and unstructured data, and managing ETL pipelines for AI applications
• Cloud Knowledge: Hands-on experience deploying AI applications on Azure or AWS, with a strong understanding of cloud-native services and scalability best practices
• DevOps Understanding: Familiarity with CI/CD pipelines, version control systems, and infrastructure-as-code tools to support seamless deployment of AI solutions
• Problem-Solving Skills: Demonstrated ability to analyze complex business or technical processes and develop impactful AI-driven solutions
• Communication Skills: Strong interpersonal and written communication skills, capable of explaining technical solutions to non-technical stakeholders
• Innovation Mindset: Passion for staying updated on emerging AI trends, with a proactive attitude toward proposing and implementing creative solutions to enhance efficiency and drive

Responsibilities

• AI Solutions Development: Design and implement AI-driven systems, including automating workflows such as data scraping, OCR scanning, PDF processing, and care plan generation
• Model Strategy Optimization: Evaluate and apply the best-fit model strategies—training from scratch, fine-tuning pre-trained models, leveraging ensemble learning, or using cloud-based LLMs (e.g., GPT, Claude, Gemini)
• AI Agent Engineering: Design, implement, and test AI agents capable of task automation, decision support, and multi-step reasoning using tools such as LangChain, Rasa, Crew AI, and Windsurf
• Model Accuracy Enhancement: Improve models through online learning, user feedback loops, and retraining pipelines based on real-world outcomes
• Client-Facing Collaboration: Work directly with stakeholders to gather requirements, propose AI solutions, and communicate technical strategies clearly
• Language Model Integration: Use advanced tools like ChatGPT, Claude, and open-source LLMs to build smart assistants, workflows, and agents that solve real-world problems
• Cloud Deployment: Deploy AI applications in cloud environments (AWS, Azure, or GCP) with a focus on scalability, performance, and production readiness
• Data Preparation & Curation: Clean and curate datasets for AI consumption, focusing on enhancing quality, structure, and annotation standards
• Innovation & Efficiency: Continuously identify bottlenecks and propose AI-powered optimizations to improve processes and reduce manual workloads
• Agent-Driven Workflows: Architect and optimize agentic pipelines using tools like Crew AI or LangGraph, integrating reasoning chains and tool-use

Benefits

Competitive compensation: We offer a competitive compensation package, with salaries ranging from [$5,000 to $9,100 monthly], payable in USD