[Remote] Generative AI Engineer

Note: The job is a remote job and is open to candidates in USA. Hyrhub is a company focused on AI solutions, and they are seeking a Generative AI Engineer to design and implement AI solutions aligned with business objectives. The role involves collaborating with various teams to create scalable and secure AI applications, particularly in the pharmaceutical domain, while ensuring compliance with regulatory standards.ResponsibilitiesDesign end-to-end AI, ML, and GenAI solution approaches aligned with business objectivesTranslate complex pharmaceutical and business problems into AI-enabled solution designsDefine solution components such as data inputs, AI models, GenAI workflows, APIs, user interfaces, orchestration layers, and deployment patternsEvaluate and recommend suitable AI models, LLMs, frameworks, cloud services, vector databases, and automation toolsCreate solution design documents, technical blueprints, architecture diagrams, and implementation roadmapsDesign GenAI solutions using LLMs, RAG pipelines, prompt engineering, agents, knowledge search, summarization, automation, and workflow augmentationIdentify opportunities where AI can improve productivity, decision-making, analytics, and business processesDefine build-vs-buy considerations for AI solutions and recommend appropriate technology stacksDevelop proof-of-concepts or prototypes to validate solution feasibilityGuide teams on responsible AI, explainability, model limitations, and risk mitigationWork closely with business stakeholders to understand needs, pain points, workflows, and success criteriaConvert business requirements into AI use cases, functional specifications, and technical solution designsAssess data availability, feasibility, complexity, risks, dependencies, and expected business impactPrioritize AI use cases based on value, feasibility, scalability, and adoption potentialCommunicate solution options, trade-offs, risks, and recommendations to both technical and non-technical audiencesOwn the solution lifecycle from ideation to design, prototype, implementation support, deployment, and adoptionPartner with AI/ML engineers, data engineers, cloud architects, application teams, and platform teams to deliver production-ready solutionsEnsure solutions are scalable, secure, maintainable, and aligned with enterprise architecture standardsSupport productionization through MLOps, LLMOps, monitoring, governance, and continuous improvement practicesTrack business outcomes and ensure solutions deliver measurable impactProvide technical direction to development and engineering teams during implementationCollaborate on API design, data pipeline integration, model deployment, prompt management, vector search, and cloud architectureEnsure AI solutions are designed for reliability, performance, security, privacy, and complianceReview implementation approaches and help resolve design or integration challengesAct as a bridge between business teams, AI teams, and technology delivery teamsApply AI and GenAI solutions across pharmaceutical domains such as clinical trials, real-world evidence, medical affairs, drug discovery, commercial analytics, patient analytics, regulatory and safety operations, and sales and marketing effectivenessUnderstand pharma data types, workflows, compliance expectations, and business challengesEnsure AI solutions consider regulatory, data privacy, security, and ethical AI requirementsSupport use-case design for regulated and sensitive healthcare environmentsSkillsStrong understanding of AI, machine learning, GenAI, and applied analytics conceptsAbility to design AI solutions without being limited to hands-on model developmentExperience with Python and SQLGood understanding of ML models, statistical methods, deep learning, NLP, and LLM-based systemsExperience designing or working with LLMs and GenAI platformsExperience designing or working with RAG architecturesExperience designing or working with vector databasesExperience designing or working with prompt engineering frameworksExperience designing or working with AI agents and workflow automationExperience designing or working with APIs and application integration patternsExperience designing or working with cloud platforms such as AWS or AzureExperience designing or working with MLOps or LLMOps practicesProven ability to design end-to-end AI/ML/GenAI systemsUnderstanding of data pipelines, model serving, cloud deployment, orchestration, monitoring, and governanceAbility to create solution architecture diagrams, technical design documents, and implementation plansExperience evaluating tools, models, platforms, and frameworks based on business and technical needsUnderstanding of scalability, security, privacy, performance, and maintainability considerationsExperience delivering AI, analytics, automation, or GenAI solutions in the pharmaceutical, healthcare, life sciences, or related industriesFamiliarity with pharma datasets, business processes, and industry challengesAbility to engage with domain stakeholders and convert domain problems into practical AI solution designs6–8 years of experience in AI, data science, analytics, solution design, or technology consulting rolesDemonstrated experience designing and delivering AI/ML or GenAI solutionsExperience working with business stakeholders to define use cases and solution approachesExperience collaborating with engineering teams to implement and productionize AI solutionsStrong solution-oriented thinking and structured problem-solving abilityExcellent communication and stakeholder management skillsUnderstanding of compliance and privacy considerations such as GxP, HIPAA, GDPR, or similar frameworksPrior experience in pharma, healthcare, or life sciencesCompany OverviewHyrhub was founded in 2014, hiring niche talent is still a problem faced by many companies. It was founded in 2018, and is headquartered in Bangalore, Karnataka, IN, with a workforce of 2-10 employees. Its website is .