Artificial Intelligence Developer
Bengaluru, Karnataka, India · Full Time
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- Experience
- 2–5 yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 days ago
- Work mode
- In office
- Education
- B.Tech / B.E. in Any Specialization
- Eligibility
- Candidates holding a B.Tech or B.E. degree in any specialization are eligible to apply.
- Resume
- Required to apply
Where you'll work
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Job description
About Wishup
Wishup stands as India's leading remote work platform since 2017, facilitating global businesses to connect with highly vetted remote professionals in diverse roles such as Virtual Assistants, Operations/Admin Managers, Executive Assistants, Project Managers, Bookkeepers, and Accountants. Maintaining an elite 0.1% acceptance rate, every professional undergoes upskilling and is supported through an AI-powered remote work management tool. The company is backed by prominent investors including Orios Ventures, Inflection Point Ventures, 500 Startups, and Tracxn Labs, and led by alumni from prestigious institutions like IIT Madras, IIM Ahmedabad, IIT Kanpur, IIT Bombay, and DCE.
Role Overview
We are seeking an AI Engineer who bridges product engineering and applied AI. This role involves not just fine-tuning models but crafting and deploying comprehensive full-stack systems where AI agents perform meaningful tasks. Responsibilities span the entire feature lifecycle from defining agent workflows and LLM prompting strategies to backend API and frontend interface development. Candidates passionate about producing production-grade work that amazes users with its intelligence will find this role ideal.
Key Details
- Position Type: Full-time
- Location: Bengaluru (On-site)
- Working Days: Monday through Friday
Key Responsibilities
- Develop, build, and deploy AI agents automating intricate multi-step processes leveraging LLMs such as Claude, GPT-4, and Gemini alongside tool-use frameworks
- Design and execute full-stack features including Node.js/Python backends, REST/GraphQL APIs, and React/Next.js frontends from conception to production
- Build and oversee MCP (Model Context Protocol) servers and AI agent integrations with third-party platforms like Slack, Gmail, CRMs, and databases
- Design robust prompt pipelines featuring structured outputs, tool/function calling, retrieval-augmented generation (RAG), and memory mechanisms
- Measure and refine agent behavior by assessing output quality, reducing hallucinations, optimizing token consumption, and enhancing latency
- Incorporate AI functionalities into existing products, including chat interfaces, dashboards, and automation triggers
- Collaborate closely with product and operations teams to translate business requirements into agentic workflows
- Manage DevOps tasks for your services including containerization, CI/CD pipelines, cloud deployment (AWS/GCP), monitoring, and alerting
Required Skills and Experience
- 2 to 5 years of professional experience in software engineering, particularly in full-stack or backend-focused roles
- Strong proficiency with JavaScript/TypeScript and/or Python, capable across the full development stack
- Hands-on experience working with LLM APIs from Anthropic, OpenAI, Gemini or similar providers
- Demonstrated history of building or shipping at least one AI agent or automation system in a production environment
- Solid understanding of REST APIs, SQL and NoSQL databases, and asynchronous system design
- Familiarity with prompt engineering, tool/function calling, and retrieval-augmented generation pipelines
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker
- Strong analytical and debugging capabilities to effectively troubleshoot complex agent chains end-to-end
Technology Stack
- AI/Agents: Claude API, OpenAI API, LangChain, Model Context Protocol (MCP), n8n
- Backend: Node.js, Python, TypeScript, REST, GraphQL
- Frontend: React, Next.js
- Infrastructure: AWS (ECS, Lambda, SQS), Docker, GitHub Actions
- Databases: PostgreSQL, MongoDB, Redis, Pinecone, pgvector
- Payments: Stripe API
Job Requirements
- Personal Laptop: Minimum 8GB RAM for Windows or 3GB RAM for Mac
- Processor: At least Intel i5 8th generation or equivalent
- Functional webcam and headset for communication
Minimum education
Bachelor's Degree