Hiring for a client - Bespoke TechnologyRoles & ResponsibilitiesWork directly with customers to understand business processes, pain points, and technical requirementsDesign and develop custom AI-powered applications and workflowsBuild scalable backend services using PythonDevelop modern front-end interfaces using React.jsGuide and handle a team independentlyIntegrate third-party APIs, enterprise systems, and data sourcesDeploy and customize AI solutions based on Large Language Models (LLMs)Create, evaluate, and optimize prompts for business use casesBuild conversational AI systems, copilots, knowledge assistants, and intelligent automation workflowsCollaborate with Product, Engineering, and Customer Success teams to deliver solutions quicklyTroubleshoot customer issues and provide technical guidance during implementationsParticipate in client meetings, solution workshops, and technical discussionsDocument solutions, integrations, and implementation approaches
Location: Bangalore, HSR LayoutFull-time roleFull Stack AI Engineer combining software engineering, customer-facing problem solving, and AI implementationWill work directly with customers, product teams, and engineersIdeal CandidateStrong Full-Stack AI Engineer Profile with Python, React, and LLM/GenAI experience, plus customer-facing deliveryMandatory (Experience 1): Must have 3+ years of software development experience, building and deploying production-ready applications.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 daysBenefitsFast-growing AI-driven startup environmentExposure to enterprise clients and AI toolsHigh ownership and learning opportunitiesEmployee centric work cultureCompetitive salary and perks