Senior Full Stack Engineer GenAI & LLM

Hiring for a Client - Bespoke Technology

Roles & Responsibilities

• Work directly with customers to understand business processes, pain points, and technical requirements
• Design and develop custom AI-powered applications and workflows
• Build scalable backend services using Python
• Develop modern front-end interfaces using React.js
• Guide and handle a team independently
• Integrate third-party APIs, enterprise systems, and data sources
• Deploy and customize AI solutions based on Large Language Models (LLMs)
• Create, evaluate, and optimize prompts for business use cases
• Build conversational AI systems, copilots, knowledge assistants, and intelligent automation workflows
• Collaborate with Product, Engineering, and Customer Success teams to deliver solutions quickly
• Troubleshoot customer issues and provide technical guidance during implementations
• Participate in client meetings, solution workshops, and technical discussions
• Document solutions, integrations, and implementation approaches
• Location: Bangalore, HSR Layout
• Full-time role
• Full Stack AI Engineer combining software engineering, customer-facing problem solving, and AI implementation
• Will work directly with customers, product teams, and engineers

Ideal Candidate

• Strong Full-Stack AI Engineer Profile with Python, React, and LLM/GenAI experience, plus customer-facing delivery
• Mandatory (Experience 1): Must have 3+ years of total software development experience building and deploying production-ready applications, including at least 1 year of hands-on AI/ML work building LLM-based applications (RAG, chatbots, AI assistants, or agentic workflows) delivered to production or a client.
• Mandatory (Experience 2): Must have customer-facing experience — requirement gathering, translating business needs into solutions, working directly with stakeholders/customers.
• Mandatory (Tech skill 1): Must have strong Python, with FastAPI/Flask/Django, and building/consuming REST APIs.
• Mandatory (Tech skill 2): Must have hands-on React.js, strong JavaScript/HTML/CSS, integrating frontend with backend.
• Mandatory (Tech skill 3): Must have good software architecture/design understanding, SQL, and database design.
• Mandatory (Tech skill 4): Must have experience on AI/GenAI/LLM projects with OpenAI, Gemini, Claude, Llama, or similar.
• Mandatory (Tech skill 5): Must have hands-on prompt engineering, RAG, and frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen).
• Mandatory (Tech skill 6): Must have built AI assistants, chatbots, copilots, knowledge assistants, or workflow-automation systems.
• Mandatory (Skill): Must be able to handle and guide a team independently, with strong problem-solving and analytical thinking.
• Mandatory (Communication): Must have strong communication and presentation skills (client meetings, workshops, technical discussions).
• Mandatory (Impact): Must be able to show evidence of shipping AI/software solutions that created measurable business impact (adoption, efficiency, or outcome metrics).
• Mandatory (Stability): Must have a stable career history with consistent tenure; frequent job-hopping will not be considered.
• Preferred (Education): Bachelor's in Computer Science, Engineering, IT, or related field.
• Preferred (Background): Customer-facing / solutions engineering, implementation/technical consulting; enterprise integration exposure.
• Preferred (Nice to Have): Docker, AWS/Azure/GCP, CI/CD, vector DBs (Pinecone, FAISS, Weaviate, ChromaDB), AI agents/multi-agent, data pipelines/orchestration.

Experience: 3–5 years · Work from office · 5 days a week · Notice period up to 30 days

Benefits

• Fast-growing AI-driven startup environment
• Exposure to enterprise clients and AI tools
• High ownership and learning opportunities
• Employee centric work culture
• Competitive salary and perks