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AI Engineer
Builds and deploys AI-powered applications (LLMs, RAG, AI agents) to automate automotive payments/insights workflows, integrating tools like LangChain and MCP for production systems.
Middle\senior Data Scientist
Builds and deploys LLM-powered legal AI agents, fine-tunes models, and designs RAG pipelines to automate contract analysis and legal document generation in Russian law.
Senior AI Engineer
Build and deploy production-grade AI systems (LLMs, RAG, agents) in Python on AWS/Azure for a global healthcare company, focusing on robust backend services and cloud-native AI solutions.
Forward Deployed Engineer, Applied AI & Search
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Internal Systems Engineer (Applied AI)
Build and deploy AI-powered tools and agentic workflows for customer operations teams, integrating LLMs, RAG, and APIs to automate support, onboarding, and implementation tasks.
Agent Engineer
Designs and evolves AI agent systems from customer projects into internal products, focusing on multi-agent architectures, context strategies, and tracing-based evaluation using frameworks like LangChain and LangGraph.
Senior Machine Learning Engineer
Build and deploy AI systems using LLMs, vector storage, and agentic workflows with LangChain tools; optimize pipelines and integrate APIs for scalable GenAI solutions.
Software Developer
Build and ship generative-AI features for an ed-tech platform, engineering agentic workflows, RAG pipelines, and LLM-backed simulations using TypeScript, React, and cloud services.
Lead AI Engineer
Designs and deploys AI-driven workflows (agentic systems, RAG, automation) for an edtech SaaS company, leading a small team to scale AI capabilities in production environments.
Technical Architect
Lead the architecture of a cloud-native B2B SaaS marketing decision platform, designing scalable microservices, AI integrations, and multi-tenant systems on AWS.
Senior Advisor, AI Security Architecture and Risk
Lead AI security architecture and risk governance at a global fintech leader, defining secure-by-design patterns, risk-tiering frameworks, and guardrails for enterprise AI adoption.
[Braincrew] Product Engineer(Full stack)
Builds AI-driven products and platforms by translating customer workflows into scalable cloud/on-premise solutions, focusing on problem-solving and value creation with Python/Java/JavaScript.
Senior Quant, Artificial Intelligence/Machine Learning
Senior quant builds and validates AI/ML models for banking use-cases like fraud and credit risk, using deep learning, LLMs, and agentic AI frameworks, and documents findings for regulators and stakeholders.
Senior AI Engineer (GenAI/ LLMs/ Agentic)
Build AI agents that detect fraud and security threats using LLMs, RAG, and multi-agent systems on telemetry and network data.
Advanced AI Full Stack Engineer
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Senior Full-Stack Engineer
Build a data-heavy M&A deal-tracking web app: React/Next.js UI, PostgreSQL backend, and AI agents for document processing and insights using LangGraph and Anthropic SDK.
Senior Associate Software Engineer
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
AI Security Architect - Hyperscaler & Cloud AI Platforms
Design and enforce secure AI architectures for hyperscaler platforms (Azure, AWS, GCP), including threat modeling, identity controls, and guardrail integrations for services like Azure OpenAI and Amazon Bedrock.
AI Security Solution Architect - Guardrail Engineering & Adversarial Validation
Design and build AI security guardrails and adversarial test frameworks to protect LLM applications from prompt injection, jailbreaks, and data exfiltration, integrating controls into DevSecOps pipelines.