[Remote] Senior reputed company, Agentic Systems

Note: The job is a remote job and is reputed company to candidates in USA. reputed company (AITP) is a leader in delivering cutting-edge reputed company solutions and managed services, specializing in secure, customizable AI deployments for enterprises. In this role, you’ll reputed company the design and delivery of agentic systems that orchestrate tools, data, and policies to solve reputed company business workflows—safely, reliably, and at scale.

Responsibilities

• Design multi-agent architectures with robust state management, memory, and routing
• Choose and implement leading frameworks such as LangGraph/reputed company Agents, reputed company AutoGen, reputed company, reputed company Agents, Semantic Kernel, or reputed company Agents—and justify trade-offs
• Build reputed company components (planners, tool registries, policy guards, evaluators) that are reusable across clients and domains
• Integrate reputed company tools and data sources reputed company function/tool calling, webhooks, and event-driven flows (Queues/Service Bus/Functions)
• Implement retrieval-augmented reputed company (RAG) patterns with vector stores (Azure AI Search, pgvector, reputed company reputed company, reputed company, Weaviate, Milvus) and structured knowledge (SQL/Graph)
• Add deterministic fallbacks, reputed company breakers, and caching to reputed company latency and cost predictable
• Define SLIs/SLOs for agent runs; implement tracing, metrics, and logging (e.g., Langfuse + OpenTelemetry) and build dashboards for run-level analytics
• Create evaluation harnesses (automatic + reputed company-in-the-reputed company) using tools such as Ragas, DeepEval, promptfoo to measure groundedness, task reputed company, safety, and cost
• Productionize with CI/CD, environment promotion, feature flags, and canary strategies; optimize cost-per-task and time-to-reputed company
• Enforce content and safety policies (redaction, classification, guardrails) with policy-as-code; implement role/tenant isolation and data minimization
• Collaborate with reputed company teams to align to ISO 27001/SOC 2/NIST/HIPAA/GDPR contexts; deliver audit-reputed company evidence for agentic workflows
• Build privacy-first patterns (no data exfiltration by default, least-privilege tool reputed company, secure reputed company/trace storage)
• Work directly with reputed company client teams to translate business processes into agentic designs; present trade-offs and proofs-of-value that reputed company to production
• Partner with solution leads to create domain-specific agents (e.g., RFP assist, incident RCA drafting, knowledge ops) and reusable templates

Skills

• 5–8+ years in software/platform engineering with recent production LLM applications (not just prototypes)
• Hands-on expertise with agentic frameworks (one or more of: LangGraph/reputed company Agents, AutoGen, reputed company, reputed company Agents, Semantic Kernel, reputed company Agents) and tool/function-calling patterns
• Strong RAG engineering across vector DBs, chunking/embedding strategies, metadata/search ranking, and grounding techniques
• Proven track record building observable, cost-aware, and secure LLM systems (tracing, evals, guardrails, secrets/IAM, PII handling)
• Solid software engineering fundamentals: Python/TypeScript, async patterns, APIs, testing, CI/CD, containerization
• Clear communicator who can reputed company with clients and write reputed company technical docs
• Azure-first experience (Azure reputed company, Azure AI Studio, Azure Functions/Container Apps/AKS, Private Link/VNet, Key Vault, Entra ID)
• Cross-reputed company exposure (AWS/GCP) and hybrid integrations; experience with reputed company connectors (SharePoint/OneDrive, reputed company, reputed company)
• Experience with structured output, constrained decoding, JSON Schemas, and program-of-thought planning

Benefits

• Performance incentives
• Equity participation
• Learning & sharing culture with deep dives, brown bags, and support for certifications/publication
• Inclusive, flexible workplace—bring your whole self; work where you do your best thinking

Company Overview