Senior AI Solution Engineer

EPAM Systems; Turkey; On-site; TRY 5,914,000 - 8,871,000; Full time

Benefits offered by this job

Private health insurance

Learning & development programs

English courses

Extra leave days

Referral bonuses

Job summary

EPAM Systems is seeking a Senior AI Engineer to design, build, and scale next-generation AI and LLM applications. You will lead the technical development of advanced AI workflows, work directly with clients to turn ideas into reality, and mentor a growing team.

If you love Python, NLP, and cutting-edge Generative AI, you will collaborate on end-to-end AI solutions, implement scalable data pipelines, and prototype innovative models while staying ahead of industry trends.

Qualifications

• Strong proficiency in Python and NLP foundations.
• Experience delivering production-grade AI/LLM solutions.
• Ability to mentor junior developers and set coding standards.
• Familiarity with modern AI patterns (RAG, AI Agents).

Responsibilities

• Build End-to-End AI: Architect scalable AI applications (chatbots, search platforms, autonomous workflows).
• Consult with Clients: Translate business needs into AI/LLM solutions.
• Ensure Quality & Security: Create data pipelines, testing frameworks, and cost-aware models.
• Lead & Mentor: Establish coding standards and review junior engineers.
• Prototype & Innovate: Run experiments and test new models.

Skills

Python

NLP

Communication

Mentoring

Tools

FastAPI

Streamlit

Gradio

LangGraph

LlamaIndex

LangSmith

Arize Phoenix

Databricks

Job description

We are looking for a Senior AI Engineer to design, build, and scale our next-generation AI and Large Language Model (LLM) applications. In this role, you will lead the technical development of advanced AI workflows, work directly with clients to turn their ideas into reality, and help mentor our growing team.If you love Python, Natural Language Processing (NLP), and staying on the cutting edge of Generative AI, we want to hear from you!ResponsibilitiesBuild End-to-End AI: Architect and implement scalable AI applications, including chatbots, search platforms, and autonomous agent workflowsConsult with Clients: Collaborate directly with business stakeholders to understand their challenges and recommend smart, LLM-driven solutionsEnsure Quality & Security: Create data pipelines, design smart prompt strategies, and build testing frameworks to ensure our AI models are safe, accurate, and cost-effectiveLead & Mentor: Establish coding standards, perform code reviews, and mentor junior developers in AI best practicesPrototype & Innovate: Run quick experiments, build prototypes to test new models, and stay ahead of the curve with emerging AI research and toolsRequirementsSolid Experience: Proven background as a Senior Software Engineer delivering production-grade AI, Machine Learning, or LLM-based solutionsPython & NLP Foundations: Strong proficiency in Python (especially web frameworks like FastAPI) and a solid grasp of NLP concepts (semantic similarity, tokenization, text classification)AI Architecture: Hands-on experience with modern AI patterns, particularly RAG (Retrieval-Augmented Generation) and AI AgentsModern LLM Stack: Familiarity with major LLM APIs (OpenAI, Anthropic, Bedrock) and framework tools (like LangGraph or LlamaIndex)Testing & Scaling: Experience deploying AI applications at scale, managing cloud costs, and evaluating model quality (using retrieval metrics or LLM-based evaluation)Rapid Prototyping: Ability to quickly spin up user interfaces using Streamlit, Gradio, or similar toolsGreat Communicator: Ability to explain complex technical ideas clearly to both developer teams and non-technical clientsNice to haveDevelopment experience with TypeScriptExperience incorporating AI into the SDLC (using tools like GitHub Copilot or Cursor to write, test, and review code)Cloud expertise with AWS or Azure (specifically Azure OpenAI or AWS Bedrock)Experience using Databricks (MLflow, AgentBricks, etc.) for data or model workflowsKnowledge of advanced search/retrieval systems (vector databases, semantic search, rerankers)Familiarity with emerging open-source protocols (like Model Context Protocol - MCP) or LLM monitoring tools (like LangSmith or Arize Phoenix)We offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.