> Markdown version of [/jobs/ext/1753638-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/1753638-artificial-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Shakti Solutions - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Application Performance Management, Microsoft Azure, Continuous Integration, Software Debugging, Memory Management, Python (Programming Language), Redis, Data Processing, Istio, Large Language Models, Indexer, Build Management, Production Code, Apache Kafka, Software Version Control, Key Vault, Mulesoft - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/f362ff7b-b4a7-4b37-b222-d18cd548ffeb ## About the Role * Demonstrated production experience building agentic systems, not just exploration. * Hands-on experience with LangGraph/LangChain or equivalent orchestration. * Experience building end-to-end RAG systems: indexing, retrieval, reranking, grounding, evaluation. * Solid understanding of context/memory management and retrieval-driven context assembly. * Practical understanding of LLM limitations, hallucination risks, and evaluation methods. * Experience debugging agent behavior at the trajectory/task level. * Strong Python skills: testing, CI/CD, version control, API integration, production observability. * Hands-on experience with at least one frontier model platform (Anthropic, Google, OpenAI). * Working knowledge of Azure infrastructure - AKS/ARO, Key Vault, Redis, Kafka, Istio, networking. * Clear communication and problem solving skills, ability to meet deadlines, plan work and pivot as needed, and work with a multidisciplinary, diverse team. * Ability to travel 0-50% as needed. ## Description * Design and build agentic systems for multi-step reasoning, planning, tool use, and workflow execution in regulated processes. * Build stateful workflows with LangGraph/LangChain - branching, retries, self-correction, human-in-the-loop checkpoints. * Engineer for reliability: error recovery, planning under uncertainty, robust handling of failed tool calls. * Build auditable, policy-grounded reasoning for high-stakes decisions (e.g., prior authorization, claims review). * Build RAG pipelines: ingestion, chunking, embeddings, retrieval, reranking, grounding. * Manage conversational state, persistent memory, and context assembly; apply MCP-style tool/context interfaces. * Implement observability and tracing (Azure Monitor/Application Insights) for prompts, tool calls, and agent behavior. * Apply guardrails to reduce hallucinations and unsafe actions; evaluate agents at the task and trajectory level. * Support PHI/HIPAA-aware data handling and human-oversight/escalation for regulated decisions. * Integrate agents with enterprise systems and APIs (e.g., MuleSoft as an integration layer). * Deploy and operate on Azure - AKS/ARO, Key Vault, Redis, Kafka, Istio, networking. * Deliver production-quality code with strong testing, CI/CD, and documentation practices. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [AI Agents Graph: Your following tool in your Java AI journey](https://www.wearedevelopers.com/videos/1550-ai-agents-graph-your-following-tool-in-your-java-ai-journey) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)