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Enterprise Web • Mobile • Professional Services • Software
Build and improve production LLM agents and AI features through evaluation, experimentation, observability, prompting, context engineering, tool use, and workflow design. Develop backend services, APIs, data models, and feedback pipelines that make agent behavior reliable and measurable. Investigate performance issues, run staged rollouts and production replays, define quality standards, and partner with Product, Data Science, and Sales to deliver business outcomes with appropriate privacy, security, and human-oversight safeguards.
Top Skills:
Agentic WorkflowsAPIsBackend ServicesBraintrustClaude CodeCursorData ModelsDatadog Llm ObservabilityEvaluation HarnessesGithub CopilotLangchainLanggraphLangsmithLlm-As-JudgeLlm-Based SystemsMcp
Enterprise Web • Mobile • Professional Services • Software
Own the AI product roadmap from discovery through launch and iteration. Define model evaluation standards, failure modes, rollback plans, and agent-autonomy boundaries. Prototype and ship production AI features, influence architecture, and apply prompting and context design. Collaborate with Design, Research, Engineering, Sales, Marketing, and Customer Success while tracking quality, latency, cost, adoption, and growth metrics.
Top Skills:
AIBraintrustClaudeCodexCursorLangsmithLlmsOpenclaw
Enterprise Web • Mobile • Professional Services • Software
Build and own full-stack product features from ambiguous problems through deployment. Partner with Product and Design, make UX decisions, integrate LLM and agent capabilities into trustworthy product experiences, talk with users, instrument releases, and iterate based on usage. The role requires strong product judgment, user empathy, independent execution, and comfort using AI coding tools while collaborating with AI engineers on model behavior.
Top Skills:
Claude CodeCursorGithub CopilotLlm AgentsLlm ApisPrompting
We are hiring a Customer Engineering Specialist within our Engineering Support group to help us continue providing world-class support experience to our customers, globally. In this role, you’ll not only be helping our customers identify product issues but also resolving them on the ground including bug fixing & code reviews.
What will you do? 🤔
- Challenge yourself: Go beyond basic troubleshooting, diagnose & fix complex product issues using your Python/Java expertise.
- Empower users: Analyze issue patterns, suggest improvements & uncover new use cases to shape the future of our platform.
- Become the knowledge hub: Craft solutions, enhance processes & contribute to public knowledge articles, guiding users & your team.
- Shape the future of data: Be a key player in revolutionizing how organizations unlock data's true potential.
- Craft knowledge treasures: Contribute to an expansive knowledge base, empowering future data explorers.
- Train and mentor: new team members as we scale our Customer Happiness function
What makes you a match? 😍
- 5+ years into Technical Support at a level closest to engineering (L3 or higher) with strong Python/Java skills.
- Technical Debugging - Code browsing (Python/Java), attaching a code debugger, Log analysis. For e.g.
- Reverse engineer (problem statement to code snippet)
- Run code locally and understand the flow line by line
- Test fixes locally and commit the changes
- Passion for empowering users: Understand their pain points & find solutions that make a real impact.
- Solid computing fundamentals: Master operating systems (Linux), networks, storage, scripting & REST APIs.
- Communication that shines: Clearly explain technical concepts to anyone.
- Cloud-native tech experience (Kubernetes) & cloud platform exposure (AWS, Azure, GCP).
- SaaS & startup environment familiarity.
- Worked as a Software Engineer (bug-fixing and/or feature development)
- Experience leading a technical team.
- Collaborative Team: Work alongside talented, humble individuals dedicated to revolutionizing data team experiences globally.
- Remote Flexibility: Enjoy the freedom to work from anywhere in the world, prioritizing work-life balance.
- Cultural Immersion: Immerse yourself in a culture that values learning and knowledge-sharing.
Preferred:
What you will get?
Join the Atlan revolution and unleash your potential as a Customer Engineering Specialist.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
