NOTE: The position is with a US based company hiring in India (exclusively via Utkrusht) Title : Frontend Developer Location : Remote, India Pay : 12 - 20 LPA Skills : Typescript, ReactJs, Javascript, HTML & CSS --- APPLY NOTE: There is an assessment connected to this application. This is a quick no-code test. i.e. you will NOT be asked to code. Instead you'll be shown a piece of code and asked to verbally answer questions around the code like find faults or suggest improvements. -- Instructions for 30 min test: 1. Please sit in a quiet environment with a stable internet connection on a laptop only. 2. Preferably use Chrome Browser 3. Ensure your microphone and camera are functional before you start the assessment. NOTE: You will be video recorded, do not try to take external help :) THE TEST LINK: https://app.utkrusht.ai/assessment/5feba758-451d-48c1-85c4-c7afba5cfd54/interview --- What You’ll Do Build scalable frontend CRM systems with a globally distributed team, spread across 5 different continents. Design, build and maintain complex frontend systems, extend already made systems with a keen eye on high availability, low latency and modularity. Required Skills & Qualifications 2-4 years of experience with Typescript Experience with ReactJs frameworks A strong bias for action and high agency person A tendency to innovate with AI tools Ability to work with people in global time zones (NOTE: this job will require night hours to coordinate with team mates within reasonable constraints) Good to have skills Curiosity and inclination to collaborate on backend technologies with team members Experience with developer tools, including AI tools like cursor
NOTE: Utkrusht is hiring for multiple AI Engineer positions — for startups based out of UAE, US and inside India Title : Senior AI Engineer Location : Pune, Bangalore, Delhi Pay : 20 - 35 LPA Skills : Python, Llangchain (or similar agentic frameworks), Distributed Systems What You’ll Do Build massive scale AI Agentic orchestration platforms. Awesome scale. Awesome people to work with. No fluff. Here are some of the activities your day to day life will involve: Customer Collaboration : Work directly with customers (Fintech, Healthcare giants, soverign governments) to understand business challenges and architect AI solutions AI System Development: Build agentic AI systems, conversational AI, RAG implementations, and intelligent automation Full-Stack Solutions : Build complete applications from backend to frontend, leveraging AI throughout the development process Production Deployment: Deploy, monitor, and scale AI systems in customer environments Technical Consulting: Guide customers on AI strategy, technology choices and implementation approaches What We're Looking For Technical Mindset: You've delivered AI solutions to customers, not just internal projects or demos. You can communicate complex technical concepts to non-technical stakeholders You're comfortable architecting systems that are both intelligent and scalable You can work independently with customers while collaborating with the Unravel team Personal Qualities: High Agency: You take ownership and drive projects forward Craft-Focused: You care deeply about code quality and user experience Curious: You stay current with AI developments and love experimenting AI-Excited : You're genuinely energized by AI's potential to solve problems Team Player: You collaborate well and help others succeed Education & Experience (Required): Bachelor's degree (or higher) in Computer Science or equivalent experience 4-6 years of software engineering experience Demonstrated experience building and deploying AI/ML systems in production Portfolio of AI projects (personal or professional) Required Skills & Qualifications Python (primary language for AI/ML work) AI/ML Frameworks: PyTorch, Transformers, DSPy, LlamaIndex Web Technologies : Modern frontend frameworks, APIs, databases Good to have: Have build large scale distributed systems (Java, Kafka)
NOTE: Utkrusht hires for tier1 VC backed companies in the US and India. Your application and assessments will apply for multiple such roles and will be valid for 6 months. Title: Sr. AI Engineer Location: Bangalore Type : Work from Office Pay: 45 - 70 LPA What You’ll Do Build massive scale AI Agentic orchestration platforms. Awesome scale. Awesome people to work with. No fluff. Here are some of the activities your day to day life will involve: Design & Build LLM Workflows: Create systems that score freeform answers, generate contextual feedback, and assist users in real time. Develop prompt templates and chaining strategies that improve relevance, reduce token usage, and mitigate hallucinations. RAG Pipeline Implementation & Optimization: Build and tune retrieval-augmented generation pipelines that fetch dynamic context from vector stores (e.g., Pinecone, Weaviate). Ensure low-latency, high-accuracy retrieval combined with LLM-driven generation to personalize experiences (e.g., mock interviews, code reviews). reduce token usage, and mitigate hallucinations. LLM Evaluation & Analysis: Define and implement evaluation frameworks covering accuracy, consistency, bias, and interpretability for model outputs. Automate evaluation pipelines that monitor LLM performance over time and flag failure modes. Agent-Based System Development: Build tool-augmented agents that can evaluate coding, system design, or reasoning questions, using frameworks like LangChain, AutoGen or LlamaIndex. Research and integrate new agent orchestration techniques to improve multi-step reasoning. Cross-Functional Collaboration: Partner with backend engineers (Go, FastAPI), frontend engineers (React) and product managers to iterate on features, gather user feedback, and refine in production. Participate in agile ceremonies—standups, sprint planning, retrospectives—and provide regular status updates. Stay Current & Innovate: Review state-of-the-art papers, benchmarks, and open-source tools (e.g., retrieval research, prompt optimization techniques). Prototype new ideas (e.g., advanced retrieval strategies, custom fine-tuning flows) and demonstrate their feasibility to the team. Qualifications Agency and bias for action - you'll be a mis-fit if you need tasks to be defined. A natural curiosity towards building better computing systems Experience working with LLM workflows or AI agentic systems in production (1+ years of this is required) 4-7 years of experience after a relevant Bachelors of Engineering or Masters of Engineering degree (or equivalent) What is on Offer Real Impact: Own and shape the AI features that power our flagship product, influencing quality improvements for thousands of users. Competitive Compensation: Market-aligned salary and meritocratic equity grants. Cutting-Edge Environment: Continuous exposure to SOTA research, with opportunities to prototype and ship innovative AI features. Collaborative Culture: Work alongside a small, dedicated team of engineers, researchers, and product leaders—everyone’s voice matters. Learning & Growth: Regular “Tech Talks”, knowledge-share sessions, and support for attending conferences or workshops.