Aera Technology4 дня назад
AI/ Machine Learning Engineer
Зарплата не указана
Full-timePune
Обязанности
- 01Design and implement state-of-the-art ML and LLM-powered features for the Aera Platform.
- 02Build and own agentic workflows end to end — multi-step reasoning, tool use, subagent orchestration, and long-horizon autonomous loops — with human-in-the-loop checkpoints where the stakes demand them.
- 03Build the eval harness before you build the agent. Own offline and online evaluation, golden datasets, regression gates tied to prompt and model versions, and test suites that hold up under non-determinism.
- 04Optimize agent performance and cost across the full set of levers: context engineering and compression, prompt caching, parallel and async tool calls, model selection and routing, structured outputs, and token budgets.
- 05Instrument what you ship. Build the tracing and observability that lets anyone profile agent behaviour, find the bottleneck, and prove a regression — rather than argue about it.
- 06Design tool and skill surfaces that models can actually use correctly, including MCP servers and reusable agent skills.
- 07Operationalize data science: integrate models into robust pipelines, inference paths, and serverless infrastructure that survive real enterprise load.
- 08Treat agent security as part of the design, not a review step — tool permissioning, sandboxing, and prompt-injection resistance.
- 09Collaborate closely with Data Science, Engineering, and DevOps to deliver solutions others can maintain.
- 10Explore and integrate emerging AI techniques, and bring back a point of view on what's real and what's hype.
Требования
- 01B.E./B.Tech in Computer Science, Computer Engineering, or a related field.
- 023–5 years in software engineering and architecture.
- 03At least 2 years designing and deploying ML or LLM-based systems, including 6–12 months on LLM-specific work.
- 04You architect and own complex, high-stakes systems that orchestrate multiple components — and you can point to the design docs and architectural decisions you wrote to get there. You've owned something from architecture through production reliability, not just to launch.
- 05You are a systems thinker. You look across business domains, find the problem that's actually being solved several times over, and abstract it into building blocks the whole platform can stand on. You step one click out from the problem in front of you and interrogate the assumption underneath it.
- 06You are a power user of agentic coding tools — Claude Code, or equivalent agent harnesses — with real intuition for where models are strong, where they fail, and how to tell the difference before it reaches production. You bring engineering discipline to agent-generated work: you review it, you gate it, you are accountable for it. We care that you've hit the failure modes, not that you've installed the CLI.
- 07You are fluent in current agentic engineering practice, not last year's. Context engineering, tool and skill design, subagent patterns, agent memory, evals and LLM-as-judge, structured outputs, prompt caching, RAG as one retrieval technique among several.
- 08Excellent problem-solving, communication, and collaboration.
Условия
- 01This role will be based in our Pune office.