Senior Full Stack (TypeScript) Engineer

Ciklum; United States; Remote; USD 46,000 - 76,000; Full time

Benefits offered by this job

Remote work options

Luxmed medical package

Udemy access

MyBenefit cafeteria

Company-paid certifications

Job summary

Ciklum is seeking a Senior Full Stack Engineer to join our cross-functional team. You will build production AI agents, design model behavior, and ensure observability across systems using AWS, React, and TypeScript.

The role emphasizes AI-first practices, security, and scalable architectures, with full remote working possibilities. You will collaborate with engineers to deploy robust infrastructures, review AI-driven code changes, and contribute to tooling and runbooks.

Qualifications

• Broad full-stack versatility across modern stacks and architectures.
• Strong production experience with React and TypeScript, including Node.js, async patterns, testing, and monorepo tooling.
• Proficiency in Python for backend services, evaluations, analysis, and automation tooling.
• Hands-on AWS beyond serverless (Lambda, Step Functions, DynamoDB, Bedrock) and broader components like containers, networking, IAM.
• Experience shipping LLM features in production (prompts, tool calls, structured output, long context).
• Comfort with AI-driven engineering tools (Copilot, Cursor, LLM APIs) and AI-first practices.
• Ability to modify Terraform configs safely across environments.
• Experience with NoSQL and SQL stores, schema changes, migrations.
• Design metrics, logs, and alarms for non-deterministic systems; debug production issues.
• CI/CD expertise, preferably GitLab CI/CD.
• Excellent written and spoken English; strong communication of trade-offs.
• Exposure to multi-agent systems, MCP servers, or evaluation frameworks.
• LLM cost control: model routing, prompt caching, token budgets.
• Prompt-injection defense and agent security.
• GraphQL for internal APIs and tooling.
• Code intelligence or retrieval work (indexing, symbol search, knowledge bundles).
• Kubernetes, AWS AppSync, and EventBridge.

Responsibilities

• Build production AI agents: implement TS services on AWS (Lambda, Step Functions, DynamoDB) using Strands or LangGraph and AI SDKs.
• Design agent behavior: specify what the model investigates and what code enforces.
• Sandbox agents: create read-only runtimes, scoped tool access, and guardrails against misbehavior.
• Evaluate AI features: calibrate models, run production replays, assess recall precision and false positives.
• Ensure observability: emit reason-coded metrics and structured logs; monitor with Splunk and VictoriaMetrics.
• Run infrastructure: maintain Terraform roots; improve GitLab CI/CD for build, test, deploy and gates.
• Build integrations resilient to retries, rate limits, and failures with robust state handling.
• Use AI to write/review code while keeping agent context current.
• Review AI-written changes for security, correctness and maintainability.
• Enable teams: configure assistants, skills, hooks and MCP servers; pair with engineers.
• Build agent-facing tools: React and APIs for summaries, dashboards and internal tooling.
• Document systems with architecture diagrams, runbooks and decision records.

Skills

React

TypeScript

Node.js

Python

AWS

CI/CD

Observability

Multi-agent systems

Communication

English fluency

Architecture design

Tools

Terraform

Kubernetes

GraphQL

AWS Lambda/Step Functions/DynamoDB

Bedrock

LangGraph

AI SDKs

GitLab CI/CD

ECS/EKS

Splunk/VictoriaMetrics

Job description

Ciklum is looking for a Senior Full Stack Engineer to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Full Stack Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

• Build production AI agents: develop TypeScript services on AWS (Lambda, Step Functions, DynamoDB, Bedrock) using Strands or LangGraph and AI SDKs
• Design agent behavior: define what the model investigates and what code enforces
• Sandbox agents: build read-only runtimes, scoped tool access, worktree-contained reads, and budget/timeout guards against model misbehavior
• Evaluate AI features: build golden sets and production replays, calibrate judges, gate changes on recall, precision and false-positive rate, and compare models and effort levels before release
• Ensure observability: emit reason-coded metrics and structured logs, alert on failures, and investigate production misses in Splunk and VictoriaMetrics
• Run infrastructure: maintain Terraform roots across environments under tagging and permission-boundary rules; improve GitLab CI/CD for build, test, deploy and quality gates
• Build integrations resilient to retries, rate limits, permanent failures and stale state
• Use AI to write/review code; keep agent context current
• Review AI-written changes for security, correctness and maintainability, catching issues tests miss
• Enable teams: configure assistants, skills, hooks and MCP servers; pair with engineers and share proven practices
• Build agent-facing tools: React and APIs for summaries, dashboards and internal tooling, with outputs readable by agents, CLIs and Slack
• Document systems with architecture/sequence diagrams, runbooks and decision records

Requirements:

• Full-stack & Versatility: Broad technical perspective with an emphasis on adaptability across modern software stacks and architectures, favoring breadth and quick ramp-up over narrow specialization
• Frontend & TypeScript: Strong production experience with modern React and TypeScript (including Node.js, async patterns, testing, and monorepo tooling).
• Backend & Scripting: Working proficiency with Python for backend services, evaluations, analysis, and automation tooling
• AWS Beyond Serverless: Practical hands-on experience across the AWS ecosystem - extending beyond serverless (Lambda, Step Functions, DynamoDB, Bedrock) to broader architectural components such as containers (ECS/EKS), networking, compute, and IAM
• LLM features in production: Has shipped features leveraging LLM APIs (prompts, tool calling, structured output, long context) and can describe the eval that gated release, what failed, and what changed
• AI Champion Mindset: Enthusiastic, proactive embrace of AI-assisted engineering tools in daily workflows (e.g., Copilot, Cursor, LLM APIs) combined with the drive to champion AI-first practices and productivity across the team
• Infrastructure as Code: Able to read and safely modify Terraform configurations across environments
• Data: Hands-on experience with both NoSQL and SQL stores, including schema changes and live-system migrations
• Observability: Able to design metrics, logs, and alarms for non-deterministic systems, and effectively debug production issues from them
• CI/CD: Proficiency with modern CI/CD pipelines, ideally GitLab CI/CD
• Communication: Fluent written and spoken English, with the ability to articulate trade- offs clearly and align team members around technical decisions
• Multi-agent systems, MCP servers, or evaluation frameworks
• LLM cost control: model routing, prompt caching, token budgets
• Prompt-injection defense and agent security
• GraphQL for internal APIs and tooling
• Code intelligence or retrieval work (indexing, symbol search, knowledge bundles)
• Kubernetes, AWS AppSync, and EventBridge

What's in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Flexibility: Enjoy flexibility - full remote working possibilities
• Care: We've got you covered with company-paid premium medical package through Luxmed
• Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you'll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

Explore, empower, engineer with Ciklum!