Sr. Prompt Engineer
Pune, India/ Bangalore · Pune · 4+ years experience · Hybrid · Posted Oct 7, 2026
At a glance
- Experience
- 4+ years experience
- Workplace
- Hybrid
- Location
- Pune, India/ Bangalore · Pune
About LogicMonitor
- We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.
- This position is located in Pune/ Bangalore. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
- To learn more about life at LogicMonitor, check out our Careers Page.
About the role
- This is a hands-on individual-contributor role for a prompt engineer who helps deliver dependable enterprise AI solutions for defined go-to-market and business problems.
- You will build on the AI Fabric—the shared foundation for governed execution, trusted context, reusable integrations, and observability—and use automation plus code to deliver workflows people can rely on.
- You will work across prompts, models, context, data, tool and API integrations, workflow automation, evaluations, and operational controls.
Responsibilities
- Partner with stakeholders to clarify defined go-to-market and business use cases, then build and deliver enterprise AI solutions on the shared AI Fabric using established patterns, approved connections, and agreed scope.
- Apply and iteratively improve established prompt, system-instruction, structured-output, tool-use, model-routing, and context-window practices so outputs are useful, grounded, predictable, and fit for a business workflow.
- Build and support n8n or comparable automation workflows using established patterns for triggers, APIs, webhooks, human approvals, retries, fallbacks, scheduled jobs, and error handling.
- Integrate AI solutions with enterprise systems and governed data sources such as Slack, Salesforce, Gong, Jira, Confluence, Google Workspace, Snowflake, AWS services, and internal APIs.
- Apply established context and data standards to select the approved sources for a use case; shape, prioritize, and refresh context; manage context-window limits; support permission-aware retrieval; and keep response behavior grounded in source data.
- Apply established decision criteria for LLM-driven and deterministic components.
- Apply existing evaluation and quality controls, including representative test sets, regression tests, LLM-as-judge or deterministic scoring, failure taxonomies, prompt and retrieval experiments, and release criteria.
- Use approved observability and operational practices for production solutions, including structured logs, outcome and quality metrics, token and cost visibility, audit trails, alerting, troubleshooting guidance, and feedback loops.
- Apply privacy, security, and reliability controls such as data minimization, PII redaction or placeholder restoration where appropriate, secrets management, schema validation, human-in-the-loop gates, graceful degradation, and least-privilege integration patterns.
- Contribute reusable technical modules, templates, and documentation that help future AI Fabric and n8n solutions be faster, safer, and easier to support.
Requirements
- 4+ years of experience in prompt engineering, software engineering, data or automation engineering, AI/ML engineering, solutions engineering, or a comparable hands-on technical role.
- Demonstrated experience building and improving production-oriented LLM applications, AI agents, RAG systems, semantic search, structured-output pipelines, or AI workflow automations.
- Strong prompt-engineering judgment: able to design prompt and output contracts, diagnose failures, run controlled experiments, and choose when prompting alone is insufficient.
- Working knowledge of workflow automation concepts and tools such as n8n or comparable platforms, including integrations, webhooks, error handling, retries, and operational support.
- Working proficiency in SQL and practical ability to write queries that select, join, aggregate, and validate data from tables.
- Ability to use Python and/or JavaScript or TypeScript for API integration, data transformation, automation, and AI workflow implementation.
- Experience integrating APIs, SaaS platforms, webhooks, cloud services, and enterprise data systems with appropriate authentication, secrets, logging, error-handling, and data-access practices.
- Experience applying context-engineering and retrieval concepts including established source-selection practices, embeddings, chunking, metadata, permission-aware retrieval, source attribution, refresh patterns, context-window management, and grounding techniques.
- A rigorous testing and evaluation mindset, including test datasets, regression testing, output validation, and measurable quality metrics.
- Ability to work directly and credibly with senior stakeholders: clarify a business use case, communicate solution design, implementation status, risk, and tradeoffs, and support adoption with both technical and non-technical partners.
Workplace
- This position is located in Pune/ Bangalore.
Skills
- N8n
- Python
- JavaScript
- TypeScript
- SQL
- Slack
- Salesforce
- Gong
- Jira
- Confluence
- Google Workspace
- Snowflake
Show all 14 skills
- AWS
- Strands SDK
