--- title: Forward Deployed Engineer/Chief Role at EPAM Systems description: We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic sys --- # Forward Deployed Engineer/Chief Role **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-08-12 **Apply by:** 2026-09-26 [Apply / View original posting](https://www.linkedin.com/jobs/view/4453042866) ## Job description We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Design, build and ship AI-native systems E2E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compaction Build the evaluation pipelines and use them to prove the system is genuinely useful Design for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actions Capture domain expertise and repeatable workflows so what works on one engagement carries to the next Engage early to help shape the use case and check technical feasibility Write production-grade Python: integrations, APIs, data access, deployment Work directly with SMEs and end-users through interviews, UAT and observing the real workflow, and validate that the system fits how people actually work Requirements 7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only) Strong agent-design judgment — task-harness fit, matching the harness to the context, failures and policies of the actual task rather than calling a model in a loop Capability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences Hands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic, Google Gemini) Expert-level Python and solid software engineering fundamentals Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking and context management Proven experience evaluating generative AI quality — LLM-based evaluation, heuristics, custom eval frameworks — and using observability/tracing tools (LangSmith, Arize Phoenix, Langfuse) Production deployment experience on at least one major cloud (AWS, Azure, GCP) with containerization, CI/CD Sound judgment under ambiguity — scoping, sequencing and making the call on speed vs. quality vs. scope English at C1 level Nice to have Experience designing experiments, A/B testing and iterating on AI products against real user behavior and business metrics Background in NLP, Data Science or applied ML, with experience moving models into production Familiarity with MCP, A2A and Agent Skills, and emerging agent standards Experience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry) Exposure to AI governance, security and compliance (guardrails, prompt-injection prevention) 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 EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Forward+Deployed+Engineer%2FChief+Role) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Forward Deployed Engineer/Chief Role","description":"

We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Design, build and ship AI-native systems E2E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compaction Build the evaluation pipelines and use them to prove the system is genuinely useful Design for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actions Capture domain expertise and repeatable workflows so what works on one engagement carries to the next Engage early to help shape the use case and check technical feasibility Write production-grade Python: integrations, APIs, data access, deployment Work directly with SMEs and end-users through interviews, UAT and observing the real workflow, and validate that the system fits how people actually work Requirements 7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only) Strong agent-design judgment — task-harness fit, matching the harness to the context, failures and policies of the actual task rather than calling a model in a loop Capability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences Hands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic, Google Gemini) Expert-level Python and solid software engineering fundamentals Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking and context management Proven experience evaluating generative AI quality — LLM-based evaluation, heuristics, custom eval frameworks — and using observability/tracing tools (LangSmith, Arize Phoenix, Langfuse) Production deployment experience on at least one major cloud (AWS, Azure, GCP) with containerization, CI/CD Sound judgment under ambiguity — scoping, sequencing and making the call on speed vs. quality vs. scope English at C1 level Nice to have Experience designing experiments, A/B testing and iterating on AI products against real user behavior and business metrics Background in NLP, Data Science or applied ML, with experience moving models into production Familiarity with MCP, A2A and Agent Skills, and emerging agent standards Experience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry) Exposure to AI governance, security and compliance (guardrails, prompt-injection prevention) 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 EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.

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