Langoor
Website:
langoor.com
Job details:
About
Langoor, A 'born in digital era' digital marketing agency is challenging and changing the very way marketers make sense of the digital disruption and navigate their way to Impact Business x Marketing x Brand Performance.
Going beyond the elementary impact of digital in terms of search, social and storytelling, marketers need to look at their customer journeys in the digital domains and focus their action based on insights of digital behaviour and contextise their marketing mix strategies and action.
Driving Indian Brands into the Digital First Marketing Era with our expertise in Data x Technology x Strategic Thinking x Creative Edge delivering agile Marketing Transformations & Brand Performance.
About the role
You will join an embedded pod working directly inside a client environment on live production systems. This is not a maintenance role. In a single quarter you could be building product integrations, shipping a data pipeline, and standing up an AI agent for a business workflow. The pod moves fast and the client expects production quality code, not prototypes.
What we expect from you
- You write clean, production ready code and you ship it fast. You do not need heavy process to move.
- You pick up unfamiliar stacks and tools quickly and without much hand holding.
- You already use modern AI coding tools as part of your daily workflow and can show what that has done to your output.
- You are comfortable when requirements are unclear and you do not wait for a fully specified ticket to start making progress.
- You can hold a technical conversation directly with a client stakeholder, not just with your own team.
Must-have skills
- Python, 5 years hands on, including production deployment experience. FastAPI experience is a strong plus.
- JavaScript and React.js, working knowledge sufficient to build and ship UI features independently.
- Comfortable working across relational, document, or graph databases (Postgres, MongoDB, Neo4j, or similar). The specific database matters less than understanding the concepts.
- Familiarity with vector databases for AI and RAG workflows (Pinecone, Weaviate, pgvector, or similar).
- Demonstrated use of AI tools in your development workflow, such as AI assisted coding tools, and awareness of how to apply AI capabilities within a product.
- Git and version control workflows in a team setting (branching, PRs, code review).
- Ability to design and consume REST APIs.
Good-to-have skills
- Kubernetes, container orchestration in a production environment.
- Cloud platform experience, AWS, Azure, or GCP.
- CI or CD pipeline exposure.
- Exposure to data pipeline work (any tooling works, e.g. Airflow, dbt, Prefect; concepts matter more than the specific tool).
- Exposure to building AI agents or working with LLM APIs.
- Comfortable writing unit and integration tests as part of your normal workflow.
- Experience working in fast, iterative cycles (agile or otherwise) with shifting priorities.
- Prior experience working directly embedded with a client rather than purely internal teams.
What this role is not
- This is not a role for someone who prefers a fixed scope and stable domain. The problem domain changes.
- This is not an entry level supervised role. You will be expected to operate independently within a few weeks of starting.
Click on Apply to know more.
