توضیحات فرصت شغلی
About the Role
We’re hiring a Generative AI Developer to translate state-of-the-art large language model (LLM) and NLP technologies into scalable, production-grade solutions. Your work include predictive analytics, semantic search, autonomous AI agents, and automated document understanding, significantly enhancing productivity across sales, marketing, field operations, and core business functions. You'll collaborate closely with data scientists, domain experts, and cross-functional stakeholders to streamline complex workflows, accelerate informed decision-making, ensure compliance, and deliver measurable business impact.
Key Responsibilities
- Develop & Deploy AI Solutions
Build, deploy, and maintain NLP and LLM-powered solutions—including semantic search, conversational AI, content generation, document understanding, and workflow Automation—ensuring high reliability, scalability, and compliance with enterprise standards.
- Design Task-Oriented Agents
Design, develop, and continuously enhance autonomous AI agents (such as virtual sales assistants, knowledge retrieval bots, and productivity Automation agents) to proactively solve real-world business challenges.
- Customize & Optimize Models
Customize, optimize, and fine-tune open-source or commercial LLMs using advanced prompt engineering, fine-tuning techniques, and NLP methods, ensuring high domain accuracy, cost-efficiency, and regulatory compliance.
- Seamless Integration
Develop and expose models via secure, scalable REST APIs and microservices, integrating seamlessly with existing enterprise infrastructure—including CRM platforms, BI tools, data lakes, and data warehouses—with minimal business disruption.
- Own the Model Lifecycle
Own the full ML model lifecycle, including continuous Monitoring (accuracy, latency, drift), automated Testing, retraining strategies, version control, and CI/CD pipelines using Docker, Kubernetes, Git, and established MLOps best practices.
- Collaborate Cross-Functionally
Collaborate closely with data scientists, data engineers, MLOps specialists, and business analysts to frame problems, validate AI solutions, iterate rapidly, and quantify measurable business outcomes (efficiency gains, revenue uplift, quality improvements).
Technical
- 3+ years of Python engineering experience, including REST API development (FastAPI, Flask) and deployment.
- Demonstrated expertise in prompt engineering, NLP pipelines, and advanced fine-tuning methods (LoRA, QLoRA, PEFT, RLHF).
- Solid understanding of MLOps tools and methods: Docker, Kubernetes, Git, CI/CD, Monitoring solutions (Prometheus, Grafana, MLflow).
- Proven hands-on experience in deep learning frameworks (TensorFlow or Pytorch).
- Familiarity with semantic search, vector databases (e.g., Pinecone, FAISS, Chroma, Weaviate), and knowledge graph technologies (e.g., GraphRAG, Neo4j, MongoDB Atlas Vector Search).
Professional
- Thrive in fast-paced, innovative environments, effectively balancing multiple priorities.
- Communicate technical concepts clearly and persuasively with stakeholders at all levels.
- Demonstrate exceptional attention to detail, especially when working with sensitive and regulated data.
Exhibit a collaborative, team-oriented mindset, actively driving continuous improvement and impactful AI adoption across client-facing
تکنولوژیها
- NLPDockerTensorFlowPytorchLangChain
شرکت زیست ارکید فارمد توسط جمعی از دانشجویان و فارغ التحصیلان نخبهی دانشگاههای برتر کشور، با هدف مارکتینگ مدرن داروهای ایرانی با کیفیت و ایجاد تحول در سیستم سلامت کشور در سال 1393 تأسیس شد.
بازاریابی و فروش داروهای بیولوژیک و HighTech ، تحلیل بازار دارویی کشور و انجام پروژههای مطالعات بالینی از عمده فعالیتهای شرکت ارکید فارمد است.
هدف شرکت ارکید فارمد ایجاد تحول در سیستم سلامت کشور از طریق ارائه راه حلهای مدرن و مبتنی بر مارکتینگ علمی دارو است.
اطلاعات تماس
تهران - تهران، میدان ونک، خیابان ولیعصر، خیابان عطار، میدان عطار، پلاک ۴۲
مزایا
- امکان همکاری در تیم حرفه ای 41 نفره فناوری اطلاعات
- برخورداری از فناوری روز