Posted on: 26/06/2026
Position : AI/ML Fullstack Engineer (GenAI, Python, React)
Overall/Total Experience : 3-5 years only
Location : Bengaluru
Working Days : 5 Days Working from office
Notice Period Requirement : 30 Days (Maximum)
Client's Company Size : Startup/Small Enterprise
Role & Responsibilities :
- Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs) such as GPT, Claude, Gemini, and LLaMA.
- Create, optimize, test, and evaluate prompts to improve model performance, accuracy, and user experience.
- Develop and maintain full-stack applications using Python for backend services and React.js for frontend development.
- Integrate AI models and APIs into business applications and workflows.
- Build scalable cloud-native solutions on AWS or GCP.
- Analyze AI-generated outputs and continuously refine prompts, workflows, and system behavior.
- Implement best practices for model orchestration, prompt management, and LLM evaluation.
- Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions.
- Participate in rapid prototyping, experimentation, and deployment of new AI use cases.
- Ensure application reliability, performance, security, and scalability.
Candidate Requirements :
- Strong Forward Deployed / Solutions Engineer Profile with AI/LLM Implementation focus.
- Must have 2+ years of total software development experience, with minimum 1 year hands-on on AI / GenAI / LLM-based projects.
- Must have built AI / LLM based features (assistants, chatbots, copilots, or workflow automation) using OpenAI / Gemini / Claude / Llama or similar.
- Must have worked directly with external clients or end-users to gather requirements and translate business needs into technical solutions.
- Must have strong proficiency in Python with a backend framework (FastAPI / Flask / Django) and REST API development.
- Must have hands-on React experience with strong JavaScript, HTML & CSS, and frontend-to-backend integration.
- Must have hands-on Prompt Engineering, working knowledge of RAG, and experience with LLM orchestration frameworks (LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen or equivalent).
- Must have SQL and database design knowledge with sound software architecture fundamentals.
- Preferred - Prior experience in solutions engineering, implementation consulting, technical consulting, or enterprise software integrations.
- Preferred - Bachelor's in CS / Engineering / IT or related field.
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