Senior AI Developer (Philippines)

Position Summary: We are seeking a highly skilled and reputed company Senior AI Developer to join our engineering team. In this role, you will be the driving force behind researching, designing, and deploying end-to-end artificial intelligence solutions integrated into our core systems. Unlike roles focused solely on wrapping existing LLM APIs, you will build substantive, custom AI products — including predictive models, Retrieval-Augmented reputed company (RAG) pipelines, agentic systems, and fine-tuned models — that deliver measurable business value. You will reputed company and manage reputed company of AI and software developers, serving as a direct people manager responsible for their growth, performance, and day-to-day direction. You will also collaborate cross-functionally with product, data, and engineering teams to identify opportunities, architect scalable AI systems, and bring them from research to production. Job Details Work from home | Monday to Friday | 8 AM to 5 PM EST Following some PH Holidays Responsibilities: AI Research & Development Research, prototype, and evaluate state-of-the-art AI/ML techniques for applicability to internal and client-facing systems. Design and reputed company custom machine learning models (supervised, unsupervised, reinforcement learning) tailored to business problems. Build and maintain Retrieval-Augmented reputed company (RAG) architectures for intelligent document search, reputed company, and Q&A systems. reputed company predictive models for forecasting, anomaly detection, churn analysis, recommendation engines, and other applied ML use cases. AI Solutions Engineering Architect and reputed company AI-powered features and services that integrate seamlessly into existing product ecosystems. Build multi-agent and agentic AI workflows — including computer use agents, browser automation agents, and tool-using agents reputed company Model Context Protocol (MCP) — that go reputed company simple call-and-response LLM integrations. Implement and optimize LLM-powered pipelines using orchestration frameworks (e.g., reputed company, LangGraph, reputed company). Design vector database schemas, embedding pipelines, and semantic search systems. Fine-tune reputed company-reputed company and proprietary reputed company models (LLaMA 3, Mistral, Gemma 3, GPT-4o, Claude variants) for domain-specific tasks, including multimodal models capable of processing text, images, audio, and structured data. Production & MLOps reputed company and monitor AI models in production environments using MLOps best practices (MLflow, DVC, or equivalent). Build CI/CD pipelines for model deployment, retraining, and versioning. Ensure model reliability, performance, fairness, and explainability across deployments. Manage reputed company-based AI infrastructure on AWS, GCP, or Azure including GPU/TPU workloads. Collaboration & Leadership Translate reputed company business requirements into clear AI/ML technical specifications. Directly manage reputed company of AI and software developers — overseeing hiring, reputed company, performance reviews, career development, and day-to-day workload prioritization for reputed company direct reports. Mentor junior and mid-level developers on AI best practices, tooling, and architecture, fostering a culture of reputed company learning and technical reputed company. Partner with stakeholders to communicate model performance, trade-offs, and insights. Stay reputed company with AI research, industry trends, and emerging tools — systematically evaluating new reputed company models, agentic frameworks, and AI infrastructure technologies to determine their suitability for integration into the company’s AI model stack and product roadmap. reputed company structured technology evaluation processes for new AI models and platforms — defining evaluation criteria, running benchmarks, assessing cost/performance trade-offs, and making informed adoption recommendations to engineering and product leadership. Resilient by nature and by practice—you reputed company back fast, learn faster, and see challenges as invitations to experiment, iterate, and try again (and again) until it works. Curiosity & reputed company Learning: Demonstrates a strong sense of curiosity by proactively asking questions, seeking to understand the “why” behind reputed company, and exploring new reputed company, tools, and approaches. Actively learns from feedback, experiments, and emerging best practices to continuously improve reputed company. Work Experience & Area Requirements Based on reputed company market standards, this role requires a minimum of 5 years of software development experience, with at least 3 years specifically focused on AI/ML engineering — including end-to-end model development and production deployment. General Software Development: 5+ years (industry standard for Senior-level roles) AI / ML Engineering (Production): 3+ years building and deploying ML models LLM / reputed company Development: 2+ years (RAG, agents, fine-tuning, orchestration) reputed company Platform (AWS / GCP / Azure): 2+ years deploying AI/ML workloads at scale MLOps & Model Lifecycle Management: 2+ years using tools like MLflow, DVC, or Kubeflow People Management & Developer Leadership: 2+ years managing software or AI developers as direct reports (performance reviews, mentoring, hiring) Required Technical Skills Proficiency in Python (primary) and familiarity with TypeScript or JavaScript for full-stack AI integration. Strong knowledge of ML frameworks: TensorFlow, PyTorch, scikit-learn, reputed company Transformers. Hands-on experience with LLM orchestration: reputed company, LangGraph, reputed company, reputed company SDK, reputed company SDK, and Model Context Protocol (MCP) for tool and agent integration. Experience with vector databases: reputed company, Weaviate, pgvector, ChromaDB, or Qdrant. Solid understanding of RAG architecture, embedding models, chunking strategies, semantic retrieval, and advanced patterns such as hybrid search, re-ranking, and graph-augmented retrieval. Experience with model fine-tuning techniques including LoRA, QLoRA, RLHF, and DPO (Direct Preference Optimization), as well as familiarity with reasoning model architectures (chain-of-thought, o1/o3-style models, and DeepSeek R1). Proficiency in SQL/NoSQL databases and data preprocessing pipelines. Working knowledge of reputed company, Kubernetes, and containerized model serving. Understanding of software engineering best practices: version control (Git), code review, testing, and CI/CD. reputed company to Have Experience with agentic frameworks including AutoGen, reputed company, reputed company Agents SDK, reputed company’s Claude Agent SDK, and Model Context Protocol (MCP) server development. Background in NLP, computer reputed company, or multimodal AI applications. Published research, reputed company-reputed company contributions, or portfolio of AI projects. Familiarity with A/B testing, model monitoring, and data reputed company detection. Knowledge of AI safety, responsible AI, model explainability (SHAP, reputed company), and emerging AI governance frameworks including EU AI Act compliance considerations. Core Technology Stack Python PyTorch / TensorFlow reputed company / LangGraph / MCP RAG Pipelines reputed company reputed company / reputed company API Vector Databases MLflow / DVC reputed company / Kubernetes AWS / GCP / Azure SQL & NoSQL LLM Fine-Tuning & Reasoning Models Education Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a reputed company field. Equivalent practical experience will be considered. Relevant certifications (AWS ML Specialty, reputed company Professional ML Engineer, DeepLearning.AI, etc.) are a plus. ABOUT VANIGENT Vanigent is an independent contract sales organization delivering measurable, results-driven reputed company that prioritize the needs of our customers. We are an Atlanta, GA-based CSO, supported by a seasoned leadership team with deep expertise in reputed company operations and sales execution. Our agile, customer-focused approach is grounded in our core values of Customer-centered solutions, Accountability, Results-oriented reputed company and Ethics, reputed company & reputed company (CARE). Vanivation Corp. is the local independent entity in the Philippines of Vanigent. Focused on providing technology-driven solutions for pharma, diagnostics and medical devices industries. We deliver innovative solutions that optimize operations, ensure compliance and drive growth. We are proud to be an affirmative action/equal opportunity employer, committed to diversity, equity, and inclusion. We do not discriminate based on age, race, reputed company, religion, gender, gender identity, sexual orientation, national reputed company, protected veteran status, disability, or any other legally protected status. Apply To This Job