AI engineer

EPAM; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Global relocation opportunities

Work abroad up to two months/year

Employee Stock Purchase Plan

Certifications (GCP, Azure, AWS)

Job summary

EPAM is seeking a forward-thinking Senior GenAI Developer to design and deploy state-of-the-art generative AI systems that transform industries. You will lead PoC through production, building scalable pipelines and fine-tuning large language models for real-world applications.

Qualifications include 3+ years in data science with Python, NLP expertise, and hands-on experience with LLMs, RAG, and ML deployments.

Qualifications

• 3+ years of data science experience delivering ML solutions end-to-end.
• Strong Python proficiency and ML framework experience.
• Experience with generative AI, LLMs, RAG pipelines and APIs (Azure OpenAI/AWS Bedrock).
• Hands-on experience with NLP techniques and model deployment.

Responsibilities

• Translate business challenges into generative AI solutions across PoC, MVP, and production.
• Build robust data processing and AI pipelines tailored to GenAI systems.
• Fine-tune large language models and other generative models using APIs and open-source tools.
• Develop RAG pipelines, agent-centric workflows, and multi-model systems.
• Craft prompt engineering strategies including zero-shot, few-shot, and chain-of-thought.
• Create modular evaluation frameworks focusing on accuracy, latency, groundedness, and cost.
• Integrate AI into scalable production systems with cross-functional teams.
• Balance cost, performance, and scalability in cloud-native or on-prem environments.
• Address ethical AI with explainability, security, and privacy practices.

Skills

Python programming

NLP

Proactive learning

Cross-functional collaboration

Code quality

Tools

NumPy

pandas

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

FastAPI/Flask

Streamlit/Gradio

Docker

MLflow

Qdrant/FAISS/Chroma

Job description

Описание

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.

Задачи

• 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

Требования

• 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
• Будет плюсом: 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

Условия

• 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
• 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
• 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)