Senior AI Engineer - Python & LLM Solutions
Listing checked September 30, 2026 · pay as published by Talentxo
Overview
As a Senior AI Engineer, you will work with customers to understand their business processes and technical needs, then design and build custom AI-powered applications and workflows. You will develop scalable backend services using Python and modern front-end interfaces with React.js, while also deploying and customizing solutions based on Large Language Models (LLMs). The role involves creating and optimizing prompts, building conversational AI systems, copilots, and knowledge assistants, and integrating third-party APIs and enterprise systems. You will guide a team independently and collaborate with Product, Engineering, and Customer Success teams to deliver solutions. This position is based in Bengaluru and requires 3-5 years of experience.
What You'll Do12
- 1Engage with customers to map business processes, identify pain points, and gather technical requirements.
- 2Design and develop custom AI-powered applications and workflows.
- 3Build scalable backend services using Python.
- 4Develop modern front-end interfaces using React.js.
- 5Guide and manage a team independently.
- 6Integrate third-party APIs, enterprise systems, and data sources.
- 7Deploy and customize AI solutions based on Large Language Models (LLMs).
- 8Create, evaluate, and optimize prompts for business use cases.
- 9Build conversational AI systems, copilots, knowledge assistants, and intelligent automation workflows.
- 10Collaborate with Product, Engineering, and Customer Success teams to deliver solutions.
- 11Troubleshoot customer issues and provide technical guidance during implementations.
- 12Participate in client meetings, solution workshops, and technical discussions.
Requirements12
- 1Strong proficiency in Python with experience in FastAPI, Flask, or Django.
- 2Hands-on experience building and consuming REST APIs.
- 3Good understanding of software architecture and design principles.
- 4Knowledge of SQL and database design.
- 5Hands-on experience with React.js, JavaScript, HTML, and CSS.
- 6Experience integrating frontend applications with backend services.
- 7Experience working on AI, Generative AI, or LLM-based projects.
- 8Understanding of Prompt Engineering techniques.
- 9Experience with OpenAI, Gemini, Claude, Llama, or similar models.
- 10Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent frameworks.
- 11Understanding of Retrieval-Augmented Generation (RAG).
- 12Experience building AI assistants, chatbots, or workflow automation systems.
Who Should Apply
Candidates with 3-5 years of experience in full-stack development and AI, particularly those who have built LLM-based applications and are proficient in Python and React.js, will fit well. The role suits someone who has worked with LangChain or similar frameworks, understands RAG, and can handle customer-facing technical discussions. Those without hands-on experience in Generative AI or prompt engineering may find it challenging. Additionally, a lack of experience in leading a team or integrating enterprise systems could be a drawback.
Salary Insight
Open to Discussion
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$72/hour
This role
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Most AI Training roles pay $42–$98 per hour.
Based on 1,121 similar roles that publish pay · 303 publish only a top rate; those count at the rate they gave
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Compensation
Undisclosed by Talentxo
Confirmed during Talentxo profile screening.
Required Skills
Application Tip
Highlight specific projects where you used Python and React.js to build AI solutions, and detail your experience with LLM frameworks like LangChain or LlamaIndex. Quantify the impact of your prompt engineering or RAG implementations to demonstrate fit.
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