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Pavago specializes in connecting businesses with top-tier offshore talent in operations, sales, and marketing, offering a comprehensive recruitment solution designed to reduce cost
Full-Stack AI Engineer
Location
Argentina
Posted
70 days ago
Salary
0
Seniority
Mid Level
Job Description
Full-Stack AI Engineer
Pavago
Job Title: Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for model deployments, experimentation cycles, and sprint schedules) About the Role: Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. This role requires bridging software engineering with applied machine learning, ensuring that models are integrated into production systems that are scalable, reliable, and user-friendly. The Full-Stack AI Engineer combines back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions. Responsibilities: AI Model Integration: - Deploy pre-trained and fine-tuned ML/LLM models (OpenAI, Hugging Face, TensorFlow, PyTorch). - Wrap models in APIs (FastAPI, Flask, Node.js) for scalable inference. - Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data Engineering & Pipelines: - Build ETL pipelines for ingesting, cleaning, and transforming text, image, or structured data. - Automate data labeling, preprocessing, and versioning with Airflow, Prefect, or Dagster. - Store and manage datasets in cloud warehouses (Snowflake, BigQuery, Redshift). Application Development (Full-Stack): - Build front-end UIs in React, Next.js, or Vue to surface AI-powered features (chatbots, dashboards, analytics). - Design back-end services and microservices to connect models to business logic. - Ensure responsive, intuitive, and secure interfaces for end users. Infrastructure & Deployment: - Containerize ML services with Docker and deploy to Kubernetes clusters. - Automate CI/CD pipelines for model updates and application releases. - Monitor latency, cost, and model drift with MLflow, Weights & Biases, or custom dashboards. Security & Compliance: - Ensure AI systems comply with data privacy standards (GDPR, HIPAA, SOC 2). - Implement rate limiting, access control, and secure API endpoints. Collaboration & Iteration: - Work with data scientists to productionize prototypes. - Partner with product teams to scope AI features aligned with business needs. - Document systems for reproducibility and knowledge transfer. What Makes You a Perfect Fit: - Strong coder with a foundation in both full-stack development and applied ML/AI. - Comfortable building prototypes and scaling them to production-grade systems. - Analytical problem solver who balances performance, cost, and usability. - Curious and adaptable, staying current with emerging AI/LLM tools and frameworks. Required Experience & Skills (Minimum): - 3+ years in software engineering with exposure to AI/ML. - Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js). - Experience deploying ML models into production systems. - Strong SQL and experience with cloud data warehouses. Ideal Experience & Skills: - Built and scaled AI-powered SaaS products. - Experience with LLM fine-tuning, embeddings, and RAG pipelines. - Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker). - Familiarity with microservices, serverless architectures, and cost-optimized inference. What Does a Typical Day Look Like? A Full-Stack AI Engineer’s day revolves around connecting models to real-world applications. You will: - Review and refine model APIs, testing latency and accuracy. - Write front-end code to surface AI features in user-friendly interfaces. - Maintain pipelines that clean and prepare new datasets for training or fine-tuning. - Deploy updates through CI/CD pipelines, monitoring cost and performance post-release. - Collaborate with product and data science teams to prioritize AI features that solve real user problems. - Document workflows and results so solutions are repeatable and scalable. In essence: you ensure AI moves from prototype to production — reliable, compliant, and impactful. Key Metrics for Success (KPIs): - Successful deployment of AI features to production on schedule. - Application uptime ≥ 99.9% and inference latency < 500ms for key endpoints. - Reduction in manual workflows replaced by AI features. - Model performance tracked and stable (accuracy, drift, false positives/negatives). - Positive user adoption and satisfaction of AI-driven features. Interview Process: - Initial Phone Screen - Video Interview with Pavago Recruiter - Technical Assessment (e.g., deploy a small ML model with API endpoints and basic front-end integration) - Client Interview(s) with Engineering Team - Offer & Background Verification
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Senior AI/ML Engineer - Remote
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COMPANY SUMMARY Sorcero's medical AI platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.sorcero.com. WHY JOIN SORCERO? Our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. From flexible working arrangements to encouraging meaningful interactions with teammates across the globe, Sorcero provides a supportive community to bring out the best in each of us. Our employees are driven by these common values: - Pursuit of excellence and mastery of their craft - Humility in defeat and in success - Kindness and empathy towards others - Desire to create large-scale, positive change Sorcero builds AI powered solutions, combining the power of deep learning with the accuracy of ontologies to drive natural language understanding. Top Pharma companies, scientists and researchers use our platform and applications. THE CONTRACT MEDICAL WRITER-PUBLICATIONS ROLE We are seeking an experienced Medical Writer to contract to Sorcero on a defined deliverable basis for our SciComms Suite. The ideal candidate will have publication medical writing experience for pharmaceutical clients working on clinical trial publications of a variety of types. Their role is to review and develop AI draft manuscripts to the level desired by Sorcero and contribute to Sorcero validation work for increasing the speed of evidence to clinical practice. This role is on an as-needed basis as determined by Sorcero project volume. RESPONSIBILITIES - Review, annotate, and amend early- to late-stage publication manuscript drafts to tight deadlines and to the highest standard - Work on rapid turnaround deliverables following guidance set by Sci Comms Solutions Lead and Product Manager - Liaise with Authors to take manuscripts to submission - Work to strict confidentiality and data privacy parameters at all times - Give feedback on the quality of drafts as required - Act as independent reviewer for quality studies REQUIRED QUALIFICATIONS - Focused experience in medical writing for publication in the pharmaceutical or biotech industry - Strong understanding of clinical research, biostatistics, and medical terminology - In-depth familiarity with GPP, ICMJE, CONSORT, and other industry standard guidelines - Comprehensive understanding of manuscript process from draft to publication - Advanced degree in life sciences, pharmacy, medicine, or related field preferred - Minimum of 3 years experience as a medical writer - Exceptional communication and interpersonal skills - Proven track record of successful cross-functional collaboration - Project delivery track record and strong organizational skills PREFERRED SKILLS - In-depth knowledge of publication standards and requirements - Clinical trial statistical understanding - Oncology experience - HEOR publication experience COMPENSATION Sorcero is a remote and globally distributed team. The hourly rate will be determined based on experience and location. Because ∑ (human + AI) > human or AI alone Sorcero is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. and celebrates the diversity of its growing team. We are unable to sponsor or take over sponsorship of employment visas at the present time. COMPANY SUMMARY Sorcero's medically-tuned intelligence platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.Sorcero.com. WHY JOIN SORCERO? Our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. From flexible working arrangements to encouraging meaningful interactions with teammates across the globe, Sorcero provides a supportive community to bring out the best in each of us. Our employees are driven by these common values: - Pursuit of excellence and mastery of their craft - Humility in defeat and in success - Kindness and empathy towards others - Desire to create large-scale, positive change Sorcero builds AI powered solutions, combining the power of deep learning with the accuracy of ontologies to drive natural language understanding. Top Pharma companies, scientists and researchers use our platform and applications. THE ROLE We are looking for an AI Engineer with experience in enterprise SaaS environments, with a focus on Generative AI and Data Science skills. The ideal candidate will have experience leading cross-functional product teams designing, building, and training AI-powered services for processing complex data in the life sciences domain. You will tackle some of our most critical AI challenges: - Collaborating with subject matter experts and cross-functional product teams to design and build robust pipelines using cloud infrastructure for ingesting and processing both structured and unstructured data from diverse life sciences sources. - Developing and implementing transparent and explainable AI systems that maintain scientific accuracy while delivering insights that medical professionals can trust and act upon. - Creating domain-specific AI solutions that can address the complexity of medical and scientific language with high precision, balancing the power of cutting-edge AI with the need for regulatory compliance and scientific rigor in healthcare applications. The primary languages, services, and frameworks that the candidate would be expected to work with frequently: Python, Jupyter Notebooks, pytest, Poetry, PostgreSQL, Big Query, Vertex AI, Google Cloud Storage, PyTorch, and LLMs within Google's Model Garden. Sorcero is an agile startup on the bleeding edge of current AI advancements, including LLMs, RAG and Agentic Frameworks. Experience with deploying and maintaining LLM-based systems and frameworks used for them (such as LangChain and LlamaIndex) is a bonus, as is the ability to learn new technologies quickly. The ideal candidate will be a collaborative team player who can lead execution to build innovative AI solutions. You will be expected to contribute to the decision-making process and influence the design of our services, bringing initiative and a positive, collaborative attitude. Communication skills are critical, as AI engineers are the ambassadors of good AI practices throughout Sorcero. Keep in mind - this is a challenging domain. We make decisions fast, based on scientific facts, using advanced custom technology. We are not building standard, ordinary applications. Our products are innovative and so is our team. This is a great opportunity for someone looking to contribute meaningfully and learn while having fun in the process. RESPONSIBILITIES - AI Model Development: Collaborate with the AI and MLOps teams to create, train and test models that deliver our AI capabilities with a focus on scientific accuracy and domain relevance, enabling new solutions for our customers, as well as our enterprise SaaS product offerings. - Strong Leadership Focused on Excellence: Lead agile teams of fellow engineers, product managers, and SMEs to execute aiming for excellence in engineering while managing uncertainty, communicating effectively and driving cross-functional clarity and value creation. - Explainable AI Development: Build AI systems with transparency and explainability at their core, allowing users to understand how and why specific conclusions are reached—critical for life sciences applications where trustworthiness is paramount - Product Understanding: Understand our products from both the customer perspective and the engineering perspective. - AI Advocacy: Actively advocate for improving AI best practices, both internally in the tools and services offered by the AI team, as well as externally in the way the product teams integrate against those services. PERFORMANCE INDICATORS Success in this role will be measured by: - Ability to lead fellow engineers to develop accurate, scalable, and explainable AI solutions that directly address customer needs - Reduction in processing time for complex scientific datasets while maintaining or improving accuracy - Quality of integration between AI systems and product features as measured by customer satisfaction - Contributions to our AI toolkit that enable other teams to build more efficiently - Demonstrated ability to balance innovation with production stability in deployed AI systems REQUIRED QUALIFICATIONS: - 3+ years of enterprise SaaS software development experience - 3+ years of Python experience - 3+ years of experience with cloud computing (GCP preferred) - Experience with Large Language Models - Experience with common Data Science tooling and packages - A positive and collaborative attitude - Initiative and self-motivation - Motivation and drive to continuously improve and learn by trying new tools, processes, or methodologies - Excellent verbal and written communication skills - Company-provided laptop and hardware COMPENSATION AND BENEFITS Sorcero is a remote and globally distributed team. We offer rewarding compensation that will include a base salary in the range of $150,000-$180,000 depending on experience. We also provide the following benefits: - Three weeks PTO + 1 week of December holiday recess - One week Safe & Sick leave - 10 company holidays + 2 floating holidays - Medical, dental and vision benefits for you and your family - Paid parental bonding leave - 401(k) retirement plan, company match up to 5% - Company-provided laptop and hardware Because ∑ (human + AI) > human or AI alone Sorcero is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. and celebrates the diversity of its growing team. We are unable to sponsor or take over sponsorship of employment Visa at this time.



