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Principal AI Engineer I (Python + AWS) – Advanced English) IRC** Function Software Product Engineering Experience 5-10 years Location Colombia - Bogota Skills AWS Core Services, claude, Communication & Collaboration, langchain, Langgraph, Python The AI Systems Engineer Role As an AI Systems Engineer on client. AI Practice team, you will design and build production-grade agentic AI systems that power the next generation of intelligent automation at projectReporting to the Global Head of AI Strategy, Policy, and Governance, you will work at the frontier of multi-agent orchestration — connecting large language models toclient data ecosystem and beyond, turning complex data signals into reliable, automated action. What makes this role interesting? Frontier Technology: You'll work directly with cutting-edge agentic frameworks — LangGraph, LangChain, AgentCore, MCP — building systems that most engineers are only reading about. Real Impact: The pipelines you build will directly power customer-facing intelligence, internal automation, and executive decision support across a 40,000+ customer base. Collaborative Team: You'll be embedded in a small, high-velocity AI Practice team with a direct line to executive leadership and cross-functional stakeholders across CS, Sales, and Product. Requirements We're looking for a teammate with: The ideal candidate will have hands-on experience building and shipping agentic AI systems, with deep proficiency in Python and the modern AI engineering stack: Python Expertise: Python is your primary language. You write clean, production-grade code, build robust data pipelines, and are comfortable owning the full lifecycle from prototype to deployment. Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or comparable multi-agent orchestration frameworks — including agent routing, state management, tool use, memory, and evaluation. LLM Integration: Demonstrated experience integrating large language models via AWS Bedrock, Anthropic APIs, or similar — including prompt engineering, context management, and output validation. Data Source Integrations: Hands-on experience connecting applications to modern data platforms including Snowflake, Apache Iceberg, OpenSearch, or similar. Familiarity with Qlik Cloud Analytics or Qlik Talend Cloud is a strong plus. MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent patterns for giving agents structured, governed access to external data systems. API Development: Experience building production REST APIs using FastAPI or comparable Python frameworks. Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly preferred. Familiarity with IAM, Lambda, and API Gateway a plus. Beyond technical skills, we're looking for someone who brings: Bias for Action: You ship, instrument, and iterate — you don't wait for perfect requirements. Strong Communication: Ability to translate complex agentic system behavior to non-technical stakeholders clearly and concisely. Security and Governance Mindset: Awareness of responsible AI practices, data privacy considerations, and the importance of auditability in agentic systems. Collaborative Spirit: Comfortable working across functions and levels, from CSMs to the C-suite. Job responsibilities Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent systems using LangGraph and AgentCore, including routing logic, evaluation loops, retry mechanisms, and agent specialization patterns. Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines, tool-augmented agents, memory constructs, and retrieval-augmented generation workflows. Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manage LLM-powered agents at scale, ensuring reliability, cost efficiency, and security compliance. Build FastAPI Services: Develop lightweight, production-ready API services that expose agentic capabilities to downstream consumers and orchestration platforms. Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly, instrument your work, and evolve solutions based on real usage signals. Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, and Analytics stakeholders to translate business requirements into agentic architectures. What we offer Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions. Professional Development: Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since **, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. #J-***-Ljbffr
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.