Manager, AI Engineer KPMG
- $134,710–$268,985 Per Year
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Senior AI Engineer
Hybrid in Georgia
AI Engineering
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We are seeking a Senior AI Engineer to build a central GenAI Platform, enabling rapid development, validation, and deployment of AI agents for hundreds of product teams across the organization.
In this role, you will design and deliver full-stack systems, shape platform capabilities, and help accelerate the impact of AI agents across multiple domains.
This position is based in Lithuania, with relocation support available from EPAM. Learn more about the benefits EPAM Lithuania provides in the description below.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether its your home or our dynamic offices in Vilnius and Kaunas.
Responsibilities
Design and implement full‑stack applications, AI agents and platform components that enable rapid GenAI agent development, validation and deployment
Build developer tooling, CI/CD and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
Apply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege)
Collaborate with product, UX and domain experts to deliver customer‑focused solutions with measurable outcomes
Apply current LLM patterns (e.g., RAG, retrieval, routing, tool-use, evaluation) to deliver measurable customer value-faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
Lead by example through high-quality, maintainable code
Requirements
5+ years of professional software engineering experience
Strong full-stack development skills, including hands-on experience with TypeScript and major cloud platforms (AWS, Azure, GCP)
Expertise in at least one, and proficiency in several of the following: AI Agent development and evaluation (including LLM platforms and frameworks such as LangChain), Backend (Python, FastAPI, TypeScript) and frontend (TypeScript, Streamlit, Gradio) development, Cloud platforms and services, CI/CD, Infrastructure as Code, Site Reliability Engineering, quality engineering and secure SDLC
Proven track record of secure, reliable and scalable cloud-native systems
Experience with AI solutions at scale, using advanced integration patterns (e.g., RAG, Agents) and frameworks such as LangChain
Experience with vector databases (e.g., Qdrant, FAISS, Chroma)
Strong problem-solving, ownership and cross-functional communication skills
Nice to have
Experience with experiments, A/B tests and model iteration based on user feedback
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
Familiarity with emerging AI protocols (e.g., MCP, A2A, ACP)
Experience with cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
Experience with enterprise AI platforms (AWS AgentCore, Databricks AgentBricks, Google Agents Space, Azure AI Foundry)
Experience with observability and monitoring tools/frameworks
Technologies
Python, TypeScript, PyTorch, Hugging Face, LangChain
Vector databases (Qdrant, FAISS, Chroma)
LLM APIs (Azure OpenAI, AWS Bedrock)
We offer/Benefits
Other employee benefits
Salary range €3.8K-€5.7K gross, based on your experience and interview results.
About EPAM
EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300+ talented innovators in just 5 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.
| Location | GA |


