We are looking for a forward-thinking Senior GenAI Developer passionate about cutting-edge AI technologies and skilled at creating transformative generative AI solutions.
This role offers the rare opportunity to design and deploy state-of-the-art AI systems that redefine industry standards, fostering significant business impact while contributing to innovation in a dynamic environment.
This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.
Responsibilities
- Translate complex business challenges into generative AI solutions, steering workflows through phases like PoC, MVP, and production readiness
- Design and build robust pipelines for data processing, including tokenization, text normalization, and document structuring tailored to generative AI systems
- Select and fine-tune large language models or other generative AI models, leveraging APIs, open-source tools, and tailored methodologies for specific use cases
- Develop compelling RAG pipelines, agent-centric workflows, and multi-model systems that address intricate business requirements
- Craft effective prompt engineering strategies with techniques such as zero-shot, few-shot, and chain-of-thought prompting for reliable outputs
- Create modular evaluation frameworks for AI solutions, including metrics focused on accuracy, latency, groundedness, and cost-efficiency
- Integrate generative AI into scalable production systems in collaboration with engineers, product managers, and other stakeholders
- Optimize trade-offs between cost, performance, and scalability for AI systems deployed in cloud-native or on-premises environments
- Ensure compliance with ethical AI guidelines by incorporating explainability, security, and privacy practices into solutions
- Educate cross-functional teams and clients on leveraging generative AI to maximize business impact
Requirements
- 3+ years of experience in data science roles with end-to-end delivery of machine learning solutions, knowledge of CRISP-DM workflow, and distinctions between data science and software engineering approaches
- Proficiency in Python and frameworks/libraries including NumPy, pandas, PyTorch or TensorFlow, Hugging Face Transformers, and LangChain
- Understanding of generative AI concepts with hands-on experience in LLMs, RAG pipelines, and relevant APIs for services like Azure OpenAI or AWS Bedrock
- Practical knowledge of NLP techniques and decision-making to determine when to use classical or generative AI methods
- Demonstrated success in backend application development using tools such as FastAPI or Flask and interactive demo creation with Streamlit or Gradio
- Background in deploying AI models using Docker, MLflow, and integrating vector databases such as Qdrant, FAISS, or Chroma into workflows
- Familiarity with LLM-specific security risks like prompt injection and knowledge of appropriate mitigation strategies
- Clear communication skills to bridge the gap between technical and non-technical audiences
- Proactivity in continuous learning to stay ahead in the fast-evolving generative AI landscape
- Collaborative mindset with strong ability to guide and inspire cross-functional teams
Nice to have
- Familiarity with advanced methods like RLHF, multi-modal AI, or fine-tuning on large datasets
- Experience applying techniques such as knowledge distillation or quantization for latency optimization
- Background in human evaluation processes, including annotation workflows or integrating LLMs as evaluators
- Competency in onboarding enterprise clients onto generative AI platforms and systems
We offer
- We connect like-minded people:: Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth:: Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Get Abstract
- Free English classes with certified teachers
- Discounts in local language schools, including online courses for the Kazakh language
- We cover it all:: Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Medical & family care package
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Benefits package (sports activities, a variety of stores and services)
EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.
