• Own the technical vision, architecture, and solution standards across all engagements within the account • Drive the consolidation of multiple concurrent projects into a single coordinated build motion • Set the technical direction the engineering team builds to • Partner with the Program Manager on sequencing, dependencies, and burn tracking • Serve as the trusted technical partner and primary technical point of contact for client executive stakeholders • Operate as a senior solution architect on active build work

• Design and evolve conversational agents in production at high volume, with WhatsApp as the primary channel • Orchestrate multi-agent systems: intent routing, handoff, session management, memory and failure recovery • Develop tools and MCP servers that connect agents to the business domain • Instrument LLM observability (Langfuse / LangSmith / OpenTelemetry): cost, latency, tool-call rate and production quality • Build and maintain automated evals — no prompt or model change goes live without measurement • Integrate multiple LLM providers (OpenAI, Anthropic, Groq) with fallback strategies and cost controls • Implement RAG pipelines (embeddings, pgvector, reindexing) • Create and maintain Claude Code skills, subagents and workflows that automate the delivery cycle • Ensure reliability: rate limiting, durable queues, anti-bot guardrails, error tracking • Operate agents on Kubernetes: GitOps deployments, resources, metrics and manifests • Collaborate with product and design during discovery

• Own the AI-native architecture and build it. • Own AI/MLOps and AI telemetry end-to-end. • Lead the AI practice from the front.

Role Description We are seeking a senior AI Engineer to join the AI Operations team building next-generation developer AI-tooling for large-scale enterprise software platform. The project centers on the production AIOps platform - FastAPI + LangGraph system that automates engineering workflows by applying LLMs to structured data from issue tracking, device logs and CI/CD signals. The platform connects to real enterprise systems, runs stateful agent workflows with PostgreSQL-backed persistence and surfaces insights through a React/TypeScript dashboard. As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people. If this sounds like an exciting opportunity for you, send over your CV! Qualifications - 7+ years of experience in AI/ML or backend engineering with at least 2 years on production LLM/agent systems - Expertise in agentic AI architectures: LangGraph, LangChain, tool use, structured outputs - Strong Python engineering: FastAPI, Pydantic, async/await, clean service layering - Experience with OpenAI SDK and local LLM serving (Ollama) - PostgreSQL schema design, async drivers, query optimization - DevOps foundation: Docker, Docker Compose - Jira API and external system integration experience - React/TypeScript for dashboard features - beneficial - Upper-intermediate English (spoken and written) - Experience working in a team Git/Github workflow Requirements - Development of AIOps automation services - production systems that apply LLMs and agent decisions to accelerate engineering workflows - Design stateful LangGraph workflows with PostgreSQL checkpointing; ensure reliability and idempotency at scale - Integrate extraction pipelines and LLM-based analysis into automated decision-making flows - Define and maintain REST API contracts (FastAPI) consumed by external webhooks and scheduled jobs - Drive technical decisions on cloud vs. local LLM provider strategy (OpenAI / Ollama / Anthropic) Benefits - Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. - Empowering Growth: We foster a culture of continuous learning and professional development with dedicated Learning & Development team support. - DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals. - Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and engagement. - Comprehensive Benefits: We provide a comprehensive benefits package prioritizing the overall well-being of our consultants. - Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle.