Tech jobs
Job listings
AI Engineer
Build and deploy generative-AI solutions using LLMs, RAG, and AI agents in Python on AWS, integrating with enterprise systems for a U.S. client.
Senior Consultant, Anthropic AI Engineer
Senior consultant builds and deploys AI-powered workflows using Anthropic’s Claude, Python/JavaScript, RAG pipelines, and vector databases to automate enterprise processes for global clients.
Инженер по ИИ/AI Agent Engineer (LLM & Agentic Systems)
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Senior Backend Engineer: Machine Learning Infrastructure
Build and scale backend services for Constructor’s AI-powered e-commerce search platform, focusing on ML infrastructure, model serving, and distributed systems.
AWS AI Agent Engineer
Build and deploy enterprise AI agents and multi-agent workflows on AWS using Bedrock, AgentCore, and serverless components, with a focus on reliability, cost control, and observability.
Agentic AI- Senior Software Engineer
Build and deploy AI agents, copilots, and RAG systems using LangChain, LangGraph, and vector databases; integrate them with enterprise tools and cloud platforms.
Lead AI Engineer/AI Platform Engineer
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Системный архитектор
Designs and builds the backend of an AI agent platform in Python, including orchestration, realtime APIs, vector search, RAG, and Kubernetes deployment.
AI Developer (LLM & GenAI)
Builds scalable AI solutions using LLMs (Claude, Gemini, ChatGPT) via prompt engineering, RAG pipelines, and agent orchestration, integrating them into business systems with Python and APIs.
Principal AI Engineer
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Solutions Architect (AI)
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, then integrate them into enterprise systems with clean, testable code and CI/CD.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases; implement tools, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Custom Software Engineer
Builds AI-native applications by implementing LLM tooling, RAG pipelines, and vector search; integrates AI into enterprise systems with Python/TypeScript/Java, frameworks like LangChain, and vector DBs (pgvector, Pinecone).
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety. Core stack includes Python, TypeScript/Node.js, and Java with frameworks like LangChain and Spring Boot.
Custom Software Engineer
Build agentic AI applications using LLMs, RAG pipelines, and vector search; implement tools, prompts, and CI/CD while integrating enterprise APIs and data sources.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases; implement tools, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Custom Software Engineer
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases. Develop, test, and integrate agents with enterprise APIs and cloud services.
Custom Software Engineer
Build AI-powered applications using LLMs, RAG pipelines, and vector databases. Develop agents, prompts, and integrations with clean code and CI/CD in Python, Java, or TypeScript.
Custom Software Engineer
Custom Software Engineer at Accenture in Chennai builds agentic AI applications using LLM tooling, RAG pipelines, vector search, and API integrations, with core techs including Java Full Stack, Python, TypeScript/Node.js, and vector DBs.