Note: The job is a remote job and is open to candidates in USA. Collectiv is hiring a hands-on AI Engineer to build and deploy production solutions on Anthropic’s Claude platform for client teams. The role translates client business problems into secure, evaluated AI applications and supports their adoption and ongoing use.
Responsibilities
- Build agents, assistants, and knowledge search experiences using the Claude API, including tool use, extended thinking, structured outputs, prompt caching, and batch processing
- Build agentic workflows with the Claude Agent SDK, including multi-step orchestration, subagents, and human-in-the-loop controls
- Build and deploy Model Context Protocol (MCP) servers that connect Claude to Client systems such as Microsoft Fabric, Power BI, SharePoint, CRM, and ERP platforms
- Deploy Claude through the Anthropic API, Microsoft Foundry, Amazon Bedrock, or Google Vertex AI based on Client requirements
- Write and iterate on system prompts, tool definitions, and Agent Skills based on test results and user feedback
- Configure and roll out Claude for Enterprise, including connectors, Projects, Skills, and admin controls
- Use Claude Code to accelerate delivery, and help Client engineering teams adopt it with sound workflows, permissions, and guardrails
- Build reusable Skills, plugins, and prompt libraries that encode Client processes and standards
- Build end-to-end retrieval-augmented generation (RAG) pipelines including ingestion, chunking, embedding, vector and hybrid search, and grounding
- Partner with Collectiv data engineers to connect Claude solutions to Microsoft Fabric, Databricks, and other enterprise data platforms
- Integrate Claude solutions with enterprise systems through APIs, Azure Functions, and event-driven architectures
- Build evaluation sets and test harnesses that measure answer quality, groundedness, hallucination rate, safety, latency, and cost
- Implement logging, monitoring, tracing, and cost controls for deployed agents
- Apply security, identity, and data governance controls appropriate to each Client environment
- Use version control, CI/CD, and code review standards for all AI solution code and configuration
- Work directly with Client stakeholders to gather requirements, run working sessions, demo progress, and manage expectations
- Translate business problems into scoped, buildable AI use cases with clear success metrics
- Train Client users and engineers on the solutions you build and support adoption after go-live
- Contribute reusable patterns, accelerators, and documentation to Collectiv's AI practice
Skills
- This engagement requires US citizenship under the client's contract terms
- Bachelor's degree from an accredited university in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
- 4+ years of experience in software engineering, data engineering, or analytics engineering
- 1+ years of hands-on experience building and deploying generative AI or LLM-powered solutions in production or Client environments
- Hands-on experience with the Claude API, including tool use
- Experience building or deploying MCP servers
- Hands-on experience with Claude Code or the Claude Agent SDK
- Strong Python or TypeScript skills
- Experience building RAG solutions, including vector search and document ingestion
- Experience working in at least one major cloud (Azure preferred, AWS or Google Cloud also valued)
- Ability to work independently in a Client-facing consulting role
- Experience deploying Claude through Microsoft Foundry, Amazon Bedrock, or Google Vertex AI
- Experience rolling out Claude for Enterprise or Claude for Work to business users
- Experience with Microsoft Fabric, Databricks, or Power BI
- Experience with LLMOps practices including evaluation frameworks, prompt management, and model monitoring
- Familiarity with security, privacy, and compliance considerations for AI in regulated industries
- Consulting experience across multiple Clients or industries
- Anthropic training or certifications, or relevant Azure certifications
Benefits
- Fully remote work environment with quarterly in-person team Experiences
- Clear growth trajectory
- Professional development opportunities
- Unlimited time off
- 100% covered health insurance, including medical, dental, and vision plans for you and your family
- 401(k) with a 4% match
- Educational assistance
- Tech stipend
- Discounts on various goods and services
Company Overview