Agentic AI Engineer

Governance Compliance
Enhance AI guardrails, documentation, and compliance frameworks for regulated industries.
Define AI testing strategies and standards for enterprise validation.
Monitoring Reliability
Strengthen monitoring foundations across API gateways, event streaming platforms, container orchestration, observability tools, and backend services.
Establish baseline health metrics (latency, throughput, error rates, uptime).
Implement failure visibility and alerting protocols across integration layers.
Innovation Scaling
Drive modernization of QAaaS platform across AWS, distributed databases, and parser integrations.
Explore advanced GenAI techniques (adaptive prompting, retrievalaugmented generation, multimodal agents).
Collaborate with crossfunctional teams to onboard new services into the enterprise AI foundation.

Preferred Qualifications
Background in regulated industries or enterprise AI delivery.
Experience with QA automation and LLMbased validation metrics.
Knowledge of data privacy, security, and enterprise risk mitigation

Essential functions

Required Skills Experience
4+ years in AI/ML engineering, with 3+ years in GenAI/LLM projects.
Strong expertise in AWS cloud services (SageMaker, Bedrock, ECS/EKS, Lambda).
Handson experience with LLM frameworks (LangChain, Lyzr, RAG pipelines).
Proven track record of productionlevel deployments in enterprise environments.
Familiarity with multiagent orchestration and agent factory concepts.
Strong knowledge of Python, APIs, microservices, CI/CD pipelines.
Experience in enterprise governance, compliance, and monitoring frameworks.

Qualifications

Key Responsibilities
Agentic AI Development
Architect and implement multiagent orchestration frameworks (Orchestrator/Supervisor agents, A2A agents with enterprise service integrations).
Build reusable agent registries for custom agents across multiple tenants and cloud environments.
Define HumanintheLoop and HumanontheLoop patterns for enterprise workflows.
Cloud Production Deployment
Lead AWS AgentCore development and migration (Dev/QA/Prod environments).
Deploy LLMaaS and QAaaS services on AWS with focus on scalability, automation, and bugfree production rollout.
Integrate agents into enterprise portals and applications (e.g., dashboards, workflow orchestration tools, analytics platforms).

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office