Responsibilities:

- Build AI agents and LLM-based applications in Python that automate real business workflows for our clients.

- Write durable, long-running workflows with Temporal.io, including retries, timeouts and human approval steps.

- Design prompts and structured outputs, and test them against real client data to make agent results reliable.

- Connect agents to client systems through APIs, databases and documents (emails, PDFs, spreadsheets).

- Build and maintain data pipelines that pull data from e-commerce platforms, marketplaces and APIs into structured datasets (secondary).

- Join client calls with senior engineers to understand requirements and explain how a solution works.

Skills & Experience:

Technical Skills:

- Solid Python fundamentals: functions, classes, async code, error handling and testing.

- Hands-on work with at least one LLM API (Claude, OpenAI or Gemini), through a job, internship or personal project.

- A basic grasp of how AI agents work: tool calling,



structured outputs and keeping state across steps.

- Interest in learning Temporal.io and agent frameworks such as PydanticAI or LangGraph.

- Basic understanding of ETL/ELT processes and REST APIs.

Soft Skills:

- Clear written and spoken English, with the ability to explain technical ideas to non-technical people.

- Curious and quick to learn, with the habit of reading docs and trying things before asking.

- Takes ownership of a task and works through problems on their own.

Good to Have:

- Postgres and solid SQL.

- Git, including branches and pull requests.

- Docker for running and shipping services.

- Experience using Claude Code, or writing Claude Code skills.

- Exposure to cloud platforms (AWS or GCP) or data warehouses (BigQuery, ClickHouse).

- A GitHub profile or demo of an agent or LLM project you built.

📌 AI Engineer (Goregaon)
🏢 Leading
📍 Goregaon