Agentic AI Developer

Agentic AI Developer

VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our headquarters are in the U.S, and we have offices in 7+ countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies.

VLink is 'Great Place to Work® Certified TM' and has been a consistent winner as
- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth.

Key Responsibilities

• AI Architecture & Multi Agent Orchestration
• Architect and implement robust multi agent orchestration using Python and Lang Graph, including intelligent routing, dynamic handoffs, shared state management, long term memory, tool calling, error recovery, and follow up conversation flows.
• Define target and reference architectures for agentic AI, retrieval augmented generation (RAG), model access, memory, evaluation, and human in the loop controls.
• Establish reusable architecture patterns, engineering standards, guardrails, and design review practices for enterprise AI solutions.
• MCP & Agent Ecosystem
• Design, develop, and maintain MCP servers using FastAPI and Python to expose tools, resources, prompts, and custom capabilities as part of the agent ecosystem.
• Define standards for tool contracts, discovery, versioning, permissions, schema validation, error handling, and safe execution.
• Build and maintain custom tools and integrations that connect AI agents with internal APIs, enterprise data sources, and legacy systems.
• AI Powered Products & Domain Solutions
• Design complex AI powered chatbots and insights engines for critical healthcare and pharmacy benefit management workflows, including claims, pharmacy search, drug coverage, and prior authorization.
• Translate business and product requirements into scalable technical designs and guide solutions from proof of concept through production implementation.
• Select appropriate model, RAG, memory, orchestration, and tool use patterns based on quality, latency, cost, security, and compliance requirements.
• Backend Services, Integration & Security
• Own the architecture and development of high-performance FastAPI services, including streaming responses, asynchronous processing, custom middleware, rate limiting, caching, and authentication and authorization strategies.
• Design resilient integration patterns for APIs and legacy platforms, including retries, idempotency, timeouts, circuit breakers, fallbacks, and auditability.
• Ensure solutions follow security, privacy, responsible AI, secrets management, input/output validation, and regulated data handling best practices.
• Observability, Reliability & Optimization
• Implement comprehensive observability using Lang Smith, distributed tracing, monitoring, logging, evaluation, error handling, and performance tuning for AI agent workloads.
• Define service level objectives and quality measures for latency, answer quality, tool accuracy, task completion rate, reliability, and cost.
• Identify and prioritize technical improvements in agent performance, latency, tool accuracy, scalability, and overall system architecture.
• Technical Leadership & Collaboration
• Collaborate cross functionally with frontend, Dev Ops, product, security, data, and enterprise architecture teams to deliver end to end AI capabilities with high reliability.
• Lead architecture reviews, mentor developers, communicate design trade offs, and establish implementation guidance for distributed delivery teams.
• Evaluate emerging AI technologies pragmatically and recommend adoption based on measurable business value and enterprise readiness.

Required qualifications to be successful in this role:

• 12+ years of professional software engineering and solution architecture experience, including hands on delivery of enterprise applications and platforms.
• 5+ years of AI/ML experience with recent hands-on…