About the Role Anju Software is seeking an entrepreneurial, technical, execution-oriented Internal AI Automation Lead to identify, design, and deploy workflow automations across the business with agentic AI. This role is focused on eliminating internal friction, reducing manual work, and increasing operating leverage across Sales, Professional Services, Internal Operations, Customer Support, Finance, and HR. You will operate using modern AI tools and automation frameworks to ship functional, production-ready internal solutions that save time, reduce cost, and improve execution speed. You will be expected to ship working systems, not ideas. What You’ll Do Workflow Discovery & Prioritization - Embed with business teams to observe manual, repetitive, or high-friction processes - Map end-to-end workflows and identify automation opportunities - Quantify time, cost, and risk reduction potential Rapid Automation Development Build internal tools using: o Python, Node, or similar scripting languages o LLM Coding Agents (Claude Code, Codex, ect) o RAG frameworks (LangChain, vector DBs) Automation tools - Integrate with internal systems (CRM, Jira, NetSuite, Teams, etc.) - Deploy secure, production-grade internal automations AI Application Design - Translate messy operational tasks into structured automation logic - Implement human-in-the-loop controls where required - Ensure proper data handling and security where needed What This Role Is NOT - Not a product manager - Not an AI research role - Not a strategy-only position This is a hands-on builder role focused on operational leverage. Required Experience - 2+ years in software engineering, automation engineering, or technical operations - Demonstrated ability to independently ship working automation projects - Demonstrated ability to ship working agentic AI projects - Experience building with LLM APIs and modern AI tooling - Comfortable working across APIs and integrating disparate systems - Strong understanding of data security and responsible AI use - Highly self-directed; comfortable operating without detailed requirements Ideal Candidate Traits - Thinks “Why are humans doing this?” by default - Bias toward shipping over perfection - Comfortable prototyping and iterating quickly - Able to operate in ambiguity and prioritize independently - Balances speed with compliance awareness - Understands business impact, not just technical elegance - Stays fully up to date with latest AI developments Bonus Experience - Experience in life sciences, healthcare, or regulated environments - Familiarity with audit trails and validation constraints - Exposure to SaaS operations (sales, implementation, support) - Experience with BI tools and financial reporting systems Why This Role Matters This role will help transform how the organization works internally - reallocating human expertise away from repetitive tasks and toward high-value work. This is a rare opportunity to shape the operating model of a global life sciences software company through applied AI. About Anju Software Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently. Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise. We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about 'accuracy' in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness. • Evaluation Systems: Building the 'Golden Path' for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using 'LLM-as-a-judge,' semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant. • Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimizing complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable. • Production-Grade Model Tuning: Overseeing supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains. • Performance & Cost Engineering: Balancing the 'Quality-Cost-Latency' triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description ECS is seeking an AI Developer to work in our Memphis, TN office (Remote Considered). We are seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack. Key Responsibilities: - AI/ML Model Development: - Design, build, fine-tune, and train machine learning and deep learning models using Python. - Perform data preprocessing, feature engineering, and model optimization. - Evaluate models using domain appropriate metrics and improve performance iteratively. - Deploy custom models to production environments (cloud/on-premises) using MLOps best practices. - Full-Stack Development: - Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models. - Build responsive and user-friendly front-end interfaces for AI-powered applications. - Integrate AI models into web and mobile applications. - Ensure scalability, security, and performance of deployed solutions. - Collaboration & Documentation: - Work closely with data scientists, developers, frontend developers, and product managers. - Document model architectures, APIs, and deployment processes. - Participate in code reviews and maintain high coding standards. Qualifications - Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). - Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). - Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). - Version Control: Proficiency with GitHub workflows. - Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. Requirements - Salary Range: $150,000 - $165,000 Benefits - General Description of Benefits

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $60/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.