Senior Agentic AI Engineer - Conversational AI

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

As a Senior
Agentic AI Engineer - Conversational AI you will make an impact by designing, developing, and delivering enterprise-grade conversational and agentic AI solutions that drive business outcomes for our clients. You will be a valued member of a global engineering team, collaborating with architects, developers, QA teams, product stakeholders, and business leaders to build scalable AI-powered applications leveraging modern cloud technologies and large language models.

Lead onshore and offshore development teams while driving hands‑on development, solution design, and architecture based on client requirements. You will also collaborate closely with QA and UAT teams to support testing, resolve issues, and ensure successful project delivery.

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

• 10-14 years of experience in software engineering, solution design, and technical leadership with demonstrated success delivering enterprise‑scale conversational AI or Generative AI solutions.

• AWS Lex or Any Other Deterministic Bot
• AWS Bedrock and Bedrock Agent Core
• AWS Strands SDK / Framework
• Voice Bot and Chat Bot development
• Agentic AI application development and orchestration
• Intent modeling, conversation design, prompt engineering, and NLU concepts
• LLM application development, tool calling, function calling, and agent workflows

• Strong hands‑on experience with AWS services including:
• Amazon Bedrock
• Bedrock Agent Core
• AWS Lambda
• Amazon S3
• DynamoDB
• API Gateway
• IAM
• Cloud Watch
• Knowledge of secure AI/LLM deployment patterns and cloud‑native agent architectures
  - Will be a Plus

• Hands‑on experience building production‑grade Generative AI applications using Amazon Bedrock.
• Experience developing and orchestrating AI agents using Bedrock Agent Core and AWS Strands.
• Experience with LLM orchestration frameworks, tool integrations, and multi‑agent workflows.
• Experience implementing Retrieval‑Augmented Generation (RAG) architectures(Optional)
• Experience with prompt engineering, model evaluation, grounding, and agent performance tuning.
• Experience securing enterprise AI agents including guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls.
• Experience optimizing LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency.
• Experience monitoring and troubleshooting production AI agents and conversational AI systems.

• AWS Certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent.
• Experience with multi‑agent systems and advanced agent orchestration patterns.
• Experience using AI tools such as Git Hub Copilot, ChatGPT, Cursor, Claude, or similar development accelerators (One of the tools is a MUST).
• Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization
• Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting…