Role Description Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions across our healthcare technology platforms. This role involves: - Development based on AI/ GEN AI: - Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. - Experienced in multiple LLM fine tuning techniques. - Experienced in building GEN AI solutions using RAG architecture. - Skilled in both Lang Chain and Lang Graph. - Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. - Experienced in multiple Vector Databases as well as Graph Database. - Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. - End-to-End AI Solution Deployment: - Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. - Data Processing: - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: - Skilled in API development and integrations. - Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. - Performance Optimization: - Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. - AI Research & Innovation: - Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. - Front End Development: - Streamlit is a must. Good to have React, Angular or Vue.js. - Leadership Skills: - Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy. Qualifications - Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field. - 12 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision. - Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. - Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders. What You Should Expect in This Role - Fully Remote Opportunity – Work from anywhere in India. - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.

Role Description This is a remote position. Virtual Rockstar is hiring a full-time AI Product Builder & Systems Engineer to join our leadership team and help design, build, and scale the next generation of our internal systems and external technology products. This is not a traditional software developer role. We are looking for an AI-native builder—someone who can architect, deploy, and continuously improve AI-powered systems that directly impact business performance. This role is about execution, not exploration. If you are someone who ships, iterates, and solves real problems using AI and automation, keep reading. Responsibilities - AI Systems & Automation Development - Build AI-powered workflows using tools like Claude, ChatGPT, and other LLM platforms - Design and implement automation systems across recruiting, onboarding, training, and operations - Develop prompt systems (context handling, structured outputs, etc.) to improve performance - Product & Application Development - Build internal tools from scratch that improve efficiency and scalability - Develop systems that can be productized into external offerings - Own the full lifecycle: idea → build → deploy → iterate - Cloud & Systems Architecture - Design and deploy applications using cloud infrastructure - Build scalable, reliable systems using modern architecture - Manage APIs and integrations across multiple platforms - Business Problem Solving - Identify inefficiencies and propose automation or AI-based solutions - Evaluate when to use no-code tools vs. custom builds vs. existing platforms - Design systems end-to-end, not just individual components - Rapid Prototyping & Iteration - Turn ideas into working prototypes quickly - Ship fast, test in real environments, and iterate based on results - Continuously improve systems through real-world feedback Qualifications - Must-Have Skills - Strong proficiency in Python and/or JavaScript/TypeScript - Experience integrating LLMs (OpenAI, Anthropic, or similar) - Strong understanding of prompt engineering and system design - Experience building and maintaining APIs and integrations - Familiarity with cloud platforms (AWS, GCP, Vercel, or similar) - Systems & Operations Thinking - Ability to think problem-first, not tool-first - Experience building end-to-end systems, not just features - Familiarity with automation tools (Zapier, Make, GHL, etc.) - Nice-to-Have Experience - Vector databases (Pinecone, Weaviate, pgvector) - Agent frameworks (LangChain, CrewAI, AutoGen) - Data pipelines / ETL workflows - AI coding tools (Claude Code, Cursor, Copilot) - Startup or small-team experience Requirements - Builder mindset — you ship real things, not just ideas - High ownership and ability to work without a playbook - Strong communication — you can explain complex systems simply - Fast execution — you move quickly and iterate often - Business awareness — you understand why you're building something Red Flags (Not a Fit If…) - You’re “interested in AI” but haven’t shipped real projects - You rely heavily on theory without execution - You default to one tool for every problem - You need highly structured direction for every task - You prefer exploration over delivery Why This Role Matters This is a high-impact, leadership-level role that will directly influence: - How Virtual Rockstar scales internally - How we automate and optimize operations - How we build future products and revenue streams - You won’t just be writing code—you’ll be building the systems that shape the company. Benefits - Competitive salary commensurate with experience. - Opportunities for professional development and growth. - Work in a dynamic and supportive team environment. - Make a meaningful impact by helping to build and strengthen families across the globe.

Role Description This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full-time professional engagements. Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role. We're partnering with a fast-growing fintech project focused on building an AI-powered conversational platform used by thousands of users in the United States. The product goes far beyond traditional chatbots, leveraging Large Language Models (LLMs) and autonomous AI agents to handle complex, multi-step workflows related to financial operations. We're looking for a Senior AI Engineer to join a core AI initiative, working hands-on on the design, development, and scaling of agentic systems in production. In this role, you'll help evolve conversational experiences into advanced multi-agent architectures capable of reasoning, planning, and executing actions autonomously. Your work will have direct impact on real users and real business outcomes. Qualifications - 5+ years of experience in professional software development. - 2+ years of hands-on experience building and deploying AI / Generative AI solutions in production. - Strong proficiency in Python. - Solid experience working with LLMs and agentic frameworks (OpenAI SDK, LangChain, LlamaIndex, CrewAI, or similar). - Proven experience with agentic systems, including memory/state management and multi-agent workflows. - Experience working with vector databases and RAG-based architectures. - Strong understanding of software engineering fundamentals: Git, testing, CI/CD pipelines. - Ability to translate business requirements into scalable, maintainable technical solutions. - Strong communication skills in English within a fully remote environment. Requirements - Design, build, test, and deploy autonomous AI agents using Python and modern agentic frameworks. - Develop LLM-based systems that go beyond simple Q&A, enabling reasoning, planning, and execution across multi-step workflows. - Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases to ensure accurate, grounded responses. - Integrate AI agents with internal services, APIs, and production systems in collaboration with engineering and product teams. - Build evaluation, monitoring, and optimization pipelines for LLM-powered systems, focusing on accuracy, latency, reliability, and cost. - Apply advanced prompt engineering techniques and tool/function calling to enhance agent capabilities. - Stay current with the latest advancements in Generative AI, LLMs, and agentic architectures, applying best practices to production systems. Benefits - Contractor agreement with payment in USD. - 100% remote work. - Argentina's public holidays. - English classes. - Referral program. - Access to learning platforms.

Role Description The AI Developer is responsible for designing and developing internal AI-driven applications and intelligent agents that support project management, procurement, reporting, and operational decision-making. This role focuses on building scalable AI-powered tools beyond simple automation, enabling the company to operate with structured intelligence across departments. Key Responsibilities - Design and develop internal AI-powered tools and dashboards to support automation and business operations. - Build and integrate AI models into structured workflows, ensuring scalability and system reliability. - Develop intelligent AI agents for summarization, forecasting, and workflow support with tool-calling capabilities. - Connect AI systems with internal databases, project management tools, and financial platforms for seamless integration. - Maintain system documentation, version control, and ensure performance monitoring and security standards. - Evaluate and implement emerging AI technologies while continuously improving system and agent performance through iteration and feedback. Qualifications - Degree in Computer Science, Engineering, AI, or related field preferred. - 3–5 years of experience in AI development, application building, or systems engineering. - Experience with AI agent frameworks and API integrations. - Strong understanding of structured data systems and workflow logic. - Fluent in English - written, spoken, and comprehension. - Strong analytical and architectural thinking skills. Requirements - 3–5 years of experience in AI development, application building, or systems engineering. - Experience with AI agent frameworks and API integrations. - Strong understanding of structured data systems and workflow logic. - Fluent in English - written, spoken, and comprehension. - Strong analytical and architectural thinking skills. Benefits - Competitive salary - Fully remote work arrangement with flexible working hours. - Annual performance bonus tied to KPIs. - Professional development budget for courses, certifications, and training. - Paid time off, including vacation and personal days. - Health and wellness allowance (fitness, counseling, or other approved programs). - Access to global company resources, systems, and cross-border collaboration opportunities.