Conversational AI Engineer

adesso orange AG; Ernakulam; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

adesso India is seeking a Conversational AI Engineer to design scalable bot architectures and autonomous agent workflows. You will work with Cognigy.AI, AWS Bedrock AgentCore, Google CCAI, Kore.ai and more to integrate backend systems via REST, MCP, and GraphQL.

The role involves building multi-step, robust GenAI solutions and ensuring secure coding practices. You will collaborate with globally distributed teams, participate in code reviews, and drive delivery plans with measurable success

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
• Consulting or IT-services experience with direct client communication.
• Certifications such as Cognigy, AWS AI/GenAI, IREB CPRE or ISTQB.
• Strong English communication skills at C1 level or higher.

Responsibilities

• Design scalable bot and agent architectures using multiple platforms.
• Build deterministic, GenAI and multi-step workflows.
• Integrate CRM, ERP, ticketing, CCaaS and telephony systems via REST, MCP and GraphQL.
• Work with PBX, SBC, TTS and ASR technologies.
• Troubleshoot conversational flows, APIs, LLM behaviour and infrastructure.
• Apply LLM concepts such as context windows, tokens, temperature and embeddings.
• Evaluate and improve prompts.
• Use AI and Agentic coding tools where appropriate.
• Apply Clean Code, SOLID principles, unit and integration testing.
• Work with Docker, Kubernetes/OpenShift, CI/CD, cloud services and observability tools.
• Follow OWASP-aware secure coding practices

Education

Bachelor’s or Master’s degree in Computer Science, Engineering or related field

Strong English communication skills at C1 level or higher

Hands-on experience with at least one Conversational AI platform

Experience with REST APIs and integrating third-party systems

AI-agent orchestration and GenAI workflows

Tools

Cognigy.AI

Amazon Bedrock AgentCore

Amazon Connect

Google CCAI

Kore.ai

Microsoft Bot Framework

Parloa

REST

GraphQL

gRPC

Docker

Kubernetes/OpenShift

CI/CD

OWASP secure coding practices

Job description

We are looking for a Conversational AI Engineer who combines hands-on platform expertise with a genuine passion for Generative AI. You will analyse client requirements, understand business problems, design autonomous AI agents and bot/agent architectures, create prompts, personas and guardrails, and integrate backend systems through REST APIs and MCP.
Design multi-step agentic workflows where AI can reason, plan and execute across systems. Focus on building robust and scalable solutions rather than only completing tickets.

Responsibilities

• Design scalable bot and agent architectures using Cognigy.AI, Amazon Bedrock AgentCore, Amazon Connect, Amazon Lex, Google CCAI, Kore.ai, Microsoft Bot Framework or Parloa.


• Build deterministic, GenAI and multi-step workflows.


• Integrate CRM, ERP, ticketing, CCaaS and telephony systems through REST, MCP and GraphQL.


• Work with PBX, SBC, TTS and ASR technologies.


• Troubleshoot conversational flows, APIs, LLM behaviour and infrastructure.


• Apply LLM concepts such as context windows, tokens, temperature and embeddings.


• Evaluate and improve prompts.


• Use AI and Agentic Coding tools where appropriate.


• Apply Clean Code, SOLID principles, unit and integration testing.


• Work with Docker, Kubernetes/OpenShift, CI/CD, cloud services and observability tools.


• Follow OWASP-aware secure coding practices

Requirements

• Work proactively with clients and globally distributed, cross-functional teams.


• Participate in code reviews and architecture reviews.


• Define success metrics, plans and roadmaps.


• Align project delivery with operations, including availability, backups, monitoring, logging and documentation.


• Deliver quickly with visible incremental progress.


• Avoid over-engineering and adapt to feedback and changing priorities.


• Communicate clearly with stakeholders while remaining engaged and accountable.


• Work independently and take ownership of deliverables.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.


• Consulting or IT-services experience with direct, daily client communication.


• Relevant certifications such as Cognigy, AWS AI/GenAI, IREB CPRE or ISTQB.


• Strong English communication skills at C1 level or higher.

Must-Have Skills (2+ Years)

• Hands-on experience with at least one Conversational AI platform: Cognigy.AI, Amazon Bedrock AgentCore, Amazon Connect, Amazon Lex, Google CCAI, Kore.ai, Microsoft Bot Framework, Parloa


• Practical experience consuming REST APIs and integrating third-party systems.


• Experience with RESTful APIs, GraphQL or gRPC.


• Experience with Git, Jira and Confluence.

Should-Have Skills (1+ Year)

• Java or Python for data transformation, scripting or backend integration.


• AI-agent orchestration, including hybrid deterministic and GenAI flows.


• LLM concepts including context windows, tokens, embeddings, temperature and RAG.


• System prompts, personas, guardrails, MCP or similar tool-use/function-calling patterns.


• Experience with AWS, Azure or GCP; AWS preferred.


• CI/CD using GitLab CI, Azure DevOps or similar tools.

Nice-to-Have Skills (0.5+ Year)

• AI/Agentic Coding tools such as Anthropic Claude, OpenAI Codex or GitHub Copilot.


• GDPR, EU AI Act and enterprise AI knowledge.


• RAG using Pinecone, Weaviate or pgvector.


• SSO technologies such as OAuth2, OpenID Connect, JWT or SAML.


• Cloud contact centre or voice AI experience with Amazon Connect or Genesys Cloud CX.


• CCaaS and telephony technologies such as PBX, SBC, TTS or ASR.


• Event streaming using Kafka, AWS SQS or AWS SNS.


• Kubernetes and container platforms such as EKS/ECS, AKS or GKE.


• Infrastructure as Code using Terraform.


• Observability tools such as Datadog, Dynatrace or CloudWatch.

adesso India, 3B-2 Athulya, Third Floor, Wing B, SEZ, Infopark Phase 1, Cochin, Kerala 682042