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Gleantap
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1 to 50 Employees · Austin, US
4 open roles0 posted in 7d4 in 30d
Hiring: Engineering
What employees say
+ Smart leadership that is driven
− Small crew and evolving product
More reviews on the company profile.
Job description
Overview
This is not a pure AI research role.
Responsibilities
- Build, maintain, and improve backend features in our existing PHP application.
- Develop AI agents and automation workflows using Python.
- Integrate LLMs such as OpenAI, Claude, Gemini, or similar models into product features.
- Build RAG-based systems using embeddings, vector databases, and document retrieval.
- Work with frameworks and tools such as LangChain, LlamaIndex, or similar AI orchestration libraries.
- Design APIs, backend services, background jobs, and data processing workflows.
- Build and maintain ETL pipelines to move, clean, transform, and structure data.
- Work with structured and unstructured data from CRMs, conversations, customer records, emails, websites, and third-party integrations.
- Implement prompt pipelines, tool/function calling, intent classification, memory, and agent workflows.
- Collaborate with product, engineering, and leadership to turn business problems into AI-powered features.
- Support integrations with third-party APIs and internal systems.
Qualifications
- Strong backend development experience.
- Hands-on experience with
- Strong experience with
- Practical experience working with LLM APIs such as OpenAI, Anthropic Claude, Gemini, or similar.
- Understanding of AI agent concepts, prompt engineering, function calling, and structured AI outputs.
- Familiarity with LangChain, LlamaIndex, or similar frameworks.
- Strong SQL skills and comfort working with relational databases.
- Understanding of ETL concepts, data pipelines, data cleaning, and transformation.
- Familiarity with core machine learning concepts such as classification, prediction, embeddings, model evaluation, training vs inference, and feature engineering.
- Ability to debug production issues and work in an existing codebase.
- Strong problem-solving ability and ownership mindset.
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Job application FAQ
Last updated 2 October 2026
- How do I apply for AI Backend Engineer at Gleantap?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Gleantap may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Backend Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Backend Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this AI Backend Engineer role at Gleantap?
- This is a mid-level AI Backend Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.