AI Solutions Engineer (GenAI & Full Stack)
Overview
This role focuses on designing, developing, and deploying AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, and LLaMA. The position requires full-stack development with Python backend and React.js frontend, along with expertise in prompt engineering and RAG. The engineer will build scalable cloud-native solutions on AWS or GCP and collaborate with cross-functional teams.
What You'll Do6
- 1Design, develop, and deploy AI-powered applications leveraging LLMs such as GPT, Claude, Gemini, and LLaMA.
- 2Create, optimize, test, and evaluate prompts to improve model performance, accuracy, and user experience.
- 3Develop and maintain full-stack applications using Python for backend services and React.js for frontend development.
- 4Integrate AI models and APIs into business applications and workflows.
- 5Build scalable cloud-native solutions on AWS or GCP.
- 6Analyze AI-generated outputs and continuously refine prompts, workflows, and system behavior.
Requirements6
- 12+ years of total software development experience, with minimum 1 year hands-on on AI / GenAI / LLM-based projects.
- 2Must have built AI/LLM solutions (assistants, chatbots, copilots, workflow automation) using OpenAI / Gemini / Claude / Llama or similar.
- 3Direct customer/stakeholder-facing experience — requirement gathering and translating business needs into technical solutions.
- 4Strong proficiency in Python with a backend framework (FastAPI / Flask / Django) and REST API development.
- 5Hands-on React.js experience with strong JavaScript, HTML & CSS, and frontend-to-backend integration.
- 6Hands-on Prompt Engineering, working knowledge of RAG, and experience with LLM orchestration frameworks (LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen or equivalent).
Who Should Apply
The ideal candidate is a developer with 1-3 years of experience, possessing strong proficiency in Python and React.js, and hands-on expertise in AI/LLM projects. They should have built AI solutions like chatbots or copilots, be skilled in prompt engineering and RAG, and possess strong customer-facing skills to translate business needs into technical solutions. A background in solutions engineering or consulting is preferred.
Salary Insight
Compensation is open to discussion.
Location
Required Skills
Application Tip
In your application, highlight specific AI/LLM projects you have built, especially those involving prompt engineering and full-stack integration, and emphasize your experience with customer-facing requirement gathering.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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