GTM Engineer (AI Agents & AWS) Location: Pune, India, hybrid (2 days a week in the office)
Shift: EMEA hours, starting 12:30 PM IST
Experience: 6+ years
Employment: Full-time, on GTMforge payroll, deployed as a dedicated engineer with a B2B SaaS client
About the role
You’ll design, build and deploy AI agents and AI-enabled workflows that drive go-to-market outcomes in a B2B SaaS environment. We need someone with a strong background in GTM processes, workflow automation, AWS and cloud engineering, and AI technologies. What you’ll do • Build and implement end-to-end GTM processes and strategies in a B2B SaaS setting. • Create and optimise multi-system workflows and automations using REST APIs and event-driven integration patterns. • Design and deploy serverless applications and event-driven architectures on AWS. • Build and integrate AI agents and workflows using Amazon and Claude/Anthropic models, connected to approved business systems. • Work with stakeholders to turn business problems into practical technology solutions. • Make sure agents and workflows meet standards for accuracy, reliability, scalability and security. • Help define standards for AI agent lifecycle management and observability. Must-have GTM and business • 6+ years working directly with GTM processes and systems in B2B SaaS or tech • Strong grasp of end-to-end lead-to-revenue and customer lifecycle processes • Solid understanding of Sales, Marketing, Customer Success and RevOps workflows • Strong command of core SaaS commercial concepts and metrics • Track record of turning business problems into process and technology solutions • Comfortable working directly with business stakeholders,



including challenging and refining their requirements • Experience across multiple GTM platforms, with an understanding of how they depend on each other Workflow automation and integration • Solid understanding of REST APIs, webhooks, JSON, OAuth, authentication and event-driven integration • Experience designing multi-system workflows and automations • Experience with workflow orchestration technologies • Good judgement on when low-code/no-code fits and when custom development is needed AWS and cloud • Hands-on with AWS Lambda and serverless patterns • Experience with AWS Step Functions or similar orchestration • Experience with Amazon EventBridge and event-driven architecture • Experience with Amazon Bedrock, or with building applications on foundation-model APIs • Familiarity with API Gateway, CloudWatch, IAM, Secrets Manager, S3, queues, databases and related AWS services • Understanding of cloud security, permissions, monitoring and production support AI agents and orchestration • Design, build and deploy AI agents and AI-enabled workflows within the approved architecture • Use Amazon and Claude/Anthropic models for reasoning, classification, summarisation, research,



recommendations and decision support • Build agentic workflows that combine LLM reasoning with structured business data, APIs, deterministic rules, web-derived information and approved tools • Connect agents to business systems and data sources through APIs, connectors and Model Context Protocol (MCP) capabilities • Discover, configure and use available MCP servers and tools, and judge when an existing MCP capability beats a custom integration • Design prompts, context, structured outputs, tool/function calling, guardrails and human-in-the-loop patterns • Know when deterministic logic should be used instead of an LLM or agent • Test agents and workflows for accuracy, reliability, security, latency, scalability, cost and measurable business value • Contribute to standards for agent permissions, observability, evaluation and lifecycle management AI and LLM technologies (hands-on experience or strong practical knowledge) • Claude/Anthropic and/or other leading foundation models • Prompt and context engineering • Structured outputs • Tool/function calling • Agentic workflows and AI orchestration • MCP concepts and MCP-enabled tools • Connecting AI workflows to business systems and data sources • RAG concepts • Human-in-the-loop patterns • Model and agent evaluation • AI observability • AI security, guardrails, data privacy and responsible AI Good to have • Zapier, n8n, Workato, Make, Tray.io or similar platforms • Web scraping, browser automation or data extraction • Prior MCP experience (not required, but you should be able to pick it up quickly) • Ability to quickly learn and evaluate new automation and data-acquisition technologies

📌 GTM Engineer (AI Agents & AWS) (Pune)
🏢 r3 Consultant
📍 Pune