AI Engineer Location: Remote | Type: Full Time Company: Vikara, Boutique AI Innovation Studio We’re seeking an AI Engineer with a passion for transforming innovative ideas into real-world, AI-powered products. You thrive on exploring the latest advancements in artificial intelligence, move quickly from concept to prototype, and aren’t afraid to experiment. If you prefer showcasing your work through your GitHub contributions rather than academic accolades, we’d love to connect! What you'll Do: Rapidly prototype AI-driven MVPs using GenAI, LLMs, and modern AI toolchains. Tackle real-world client challenges across diverse industries (healthcare, education, climate, logistics, etc.) Use tools like LangChain, GPT-4, Claude, OpenCV, Whisper, Pinecone, vector DBs, and whatever’s next. Collaborate directly with our AI PMs, engineers, and designers. Own end-to-end implementation: idea → prototype → usable product. Share your work internally and externally --- we believe in building in public Who You Are: A builder. You’re not waiting to be told — you figure it out and get it done. Comfortable with GenAI APIs, Python, notebooks, and rapid prototyping. Curious about product thinking, UX, and edge-case handling. Always experimenting with new models, hacks, and AI agentsHungry to learn, unafraid to fail, and care more about skills than titles. What We Offer: Opportunity to work on cutting-edge AI problems with real-world impact. Mentorship from industry pros in product, engineering, and design. Exposure to live client work and fast-paced execution cycles. High ownership. Real impact. No busy work. Competitive compensation Job Type: Full-time Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Work from home
Job Description We are looking for talented AI and ML engineers who can play a part to build the most optimized products applying LLMs and other high-end ML modeling techniques in healthcare industry. Join forces with the top 1% of ML engineers and grow with the best minds. Basic Requirements - 10+ years of experience in engineering and machine learning methods. - In-depth understanding of applied machine learning algorithms, especially LLMs, NLP, and statistics. - Experience in deploying models and algorithms in production. - Proficiency in Python. - Experience with both SQL and NoSQL databases - Good testing skills - Comfortable with data science as well as with the engineering required to bring your models to production. Key responsibilities - Building backend infrastructure, data pipelines, and/or machine learning models for our AI-backed product. - Build working AI models and automate modeling pipelines. - Implement new features solving complex data management problems. - Deploy LLMs and other machine learning models to end-users and running experiments. - Build great ML models using computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. Job Type: Full-time Pay: ₹450,000.00 - ₹550,000.00 per year
We are looking for an experienced AI Engineer who specializes in building agentic systems from task-orchestration agents to workflow automation agents, retrieval-augmented agents, research/coding agents, and domain-specific autonomous agents. This is a full-stack AI engineering role , ideal for someone who loves shipping: rapid MVPs → stable production, high ownership, and fast problem-solving. Candidates must have built and deployed at least two AI agents in production in the past 12 months and be comfortable operating in high-velocity environments. What You’ll Do1. Build & Deploy AI Agents Design, build, and ship agentic workflows across multiple domains (research agents, coding assistants, reasoning agents, scheduling agents, analytics agents, workflow automation bots, etc.). Own the end-to-end lifecycle : data ingestion → reasoning → action taking → evaluation → monitoring. Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration. 2. Agent Architecture & Infrastructure Architect systems using modern agent stacks (LangChain, LlamaIndex, OpenAI Assistants, Model Context Protocol (MCP), custom orchestration). Build robust retrieval pipelines (RAG), vector embeddings, caching layers, and knowledge-grounding systems. Integrate agents with external tools and systems (APIs, SaaS apps, CRMs, internal services, databases, messaging platforms). 3. Productionization Deploy agents as microservices with proper observability, evals, guardrails, fallbacks, and monitoring. Optimize inference cost, latency, accuracy, and task-completion rates. Run systematic evaluations: function calling accuracy, groundedness, hallucinations, long-context stability. 4. Collaboration & Product Work Work closely with product managers, domain experts, and engineers to translate business workflows into agent behaviors. Create reusable frameworks and libraries to accelerate subsequent agent builds. Document and evangelize agent best practices internally. What You Bring Required: 4–7 years of hands-on experience in AI/ML engineering. Successful deployment of at least two production AI agents in the past 12 months (not prototypes). Expertise in: LLMs: OpenAI, Anthropic, Gemini, Llama, DeepSeek Agent frameworks: LangChain, OpenAI Assistants, custom orchestration, state machines Retrieval (RAG), vector DBs (Pinecone, Weaviate, Chroma, PGVector) API integration & tool-use architectures Python/Node for server-side agent logic Microservice deployments (Docker, Kubernetes, CI/CD) Strong debugging skills across distributed systems, prompt engineering, inference optimization, and agent reasoning traces. Comfortable building MVPs in days and scaling them to stable production within weeks/months. Nice to Have Experience building MCP servers or integrating with MCP tools. Experience with structured function-calling workflows (JSON schema, tool plans, agent graphs). Background in building internal agent frameworks or automation engines. Experience designing evaluation frameworks for agents (task completion metrics, scenario tests). Familiarity with workflow engines (Temporal, Airflow, Prefect). Success Looks Like In your first 3–6 months, you will: Build and deploy multiple agents that solve real business workflows. Improve accuracy, response quality, and reliability of existing agents. Establish a reusable internal agent framework to increase build velocity. Contribute significantly to cost, latency, and performance improvements. Become a core owner of agentic architecture and experimentation. Why Join Us Work directly with founders and senior leaders driving AI-first transformation. Build real agents used daily — not research prototypes. High autonomy + high impact environment. Opportunity to shape the foundation of agentic systems across the org. Competitive compensation + massive growth opportunity. How to Apply Send your GitHub, agent demos, or examples of deployed agents to: jobs@vikara.ai *Required: Please create your profile on Aithors.ai to process your application Job Type: Full-time Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Work from home
We are looking for an experienced AI Engineer (Voice Agents) who has designed, built, and deployed production-grade AI voice agents not just prototypes. You’ll join a fast-moving, product-led team where ideas go from MVP to production in weeks, not quarters. This is a hands-on role for someone who enjoys owning the full lifecycle architecture, modeling, evaluation, deployment, monitoring, and iteration. What You’ll Do 1. Build & Ship Voice Agents Design, build, and deploy inbound and outbound voice agents for real-world business workflows. Own E2E pipeline — speech-to-text, LLM reasoning, prompt strategy, dialog state management, TTS, telephony integration. Rapidly iterate MVPs and harden them to production quality with robust SLAs. 2. Engineering & Architecture Architect scalable agentic systems using modern tooling (OpenAI, Anthropic, DeepSeek, Inspector, Whisper, PlayHT, ElevenLabs, PolyAI-style dialog). Implement retrieval (RAG), vector stores, and memory systems to boost accuracy in complex tasks. Integrate voice agents with CRM, ticketing, telephony, and workflow orchestration systems . 3. Production & Reliability Set up observability: monitoring, logging, red-teaming, evals, hallucination detection. Drive latency reduction, call-success metrics, correctness of agent actions. Run A/B tests, fine-tuning, guardrails, fallback flows. 4. Collaboration & Product Work Work closely with product, engineering, and domain stakeholders to define agent behavior. Translate business processes into voice agent flows that operate with high autonomy. Contribute to internal frameworks and reusable components for deploying voice agents faster. What You Bring 4–7 years of hands-on AI/ML engineering experience. At least one real, production-deployed AI voice agent (inbound or outbound) that handled real customer calls. Deep expertise in: Speech-to-Text (Whisper, AssemblyAI, Deepgram, Google STT) LLMs (OpenAI, Anthropic, Llama, Gemini, DeepSeek) Text-to-Speech (ElevenLabs, PlayHT, Azure TTS) Telephony (Twilio, SIP, WebRTC, Asterisk, etc.) RAG, embeddings, vector databases Python/Node JS for AI agent orchestration Experience deploying production microservices (Docker, Kubernetes, CI/CD). Strong latency optimization + debugging skills — especially for real-time audio . Ability to work in fast environments: MVP in weeks → robust production in months. Nice to Have Experience with vendor ecosystems like ElevenLabs , PolyAI, Sierra, Decagon, Replicant . Experience building frameworks for agent evaluation and “reasoning trace” inspection. Background in conversation design or dialog management. Experience with reinforcement learning for dialog optimization. Success Looks Like In the first 2–4 months you will: Deliver at least one production-ready voice agent handling real customer traffic. Build internal tooling that reduces time to deploy new agents. Improve latency, call success rate, and downstream business outcomes. Establish metrics, dashboards, and evaluation tooling for all voice agents. Become the go-to owner for AI voice agent architecture and innovation. _ Why Join Us _ Work directly with experienced founders and a high-caliber product/engineering team. Own end-to-end systems with massive autonomy. Ship real products that touch thousands of customers. Opportunity to shape core AI infrastructure and voice agent strategy. Competitive compensation + high-growth environment. How to Apply Send your GitHub/portfolio, past projects, and a brief note on the voice agents you’ve deployed to: jobs@vikara.ai Required: Please create your profile on (Aithors.ai) Job Type: Full-time Pay: ₹2,200,000.00 - ₹3,500,000.00 per year Benefits: Work from home
About Us Vikara AI builds intelligent, automation-first solutions that power modern operations across robotics, manufacturing, research, and enterprise workflows. We partner with industry-leading clients to deliver reliable, scalable AI and automation systems with exceptional support. We are looking for a Junior Support Analyst to assist one of our robotics clients by troubleshooting recurring errors, reviewing logs, and ensuring smooth daily operations. Overview The Junior Support Analyst will be responsible for first-line troubleshooting of issues reported by a robotics client. You will diagnose problems using SOPs, video walkthroughs, and training materials, and escalate complex issues to senior engineers when needed. This is an excellent role for someone early in their career who enjoys problem-solving, learning new systems, and supporting customers in a highly technical environment. Key Responsibilities Monitor and respond to incoming error reports from the robotics system (tickets, logs, alerts). Diagnose routine issues using provided documentation, training videos, and troubleshooting guides. Perform step-by-step resolution activities, ensuring fixes follow the client’s defined SOPs. Document each fix clearly, including root cause, resolution steps, and time to repair. Flag frequently recurring issues and share patterns with the engineering team. Escalate issues that fall outside standard troubleshooting workflows. Maintain updated internal knowledge base articles and help improve training materials. Support the client by ensuring timely communication and clear status updates. Assist senior engineers with follow-up analysis when required (e.g., log reviews, replication testing). Required Skills & Qualifications 1–2 years of experience in technical support, IT helpdesk, QA, or operations support. Strong problem-solving skills and comfort working methodically through instructions. Ability to learn new technical systems quickly (training will be provided). Good communication skills to explain issues and resolutions clearly. Basic familiarity with tech tools like ticketing systems, spreadsheets, or log viewers. Ability to stay organized and document work accurately. A proactive mindset and willingness to dive into details. Work Schedule This role operates in a rotational shift system . Candidates must be comfortable working across the following shifts: Shift 1: 9:00 AM – 6:00 PM Shift 2: 5:00 PM – 2:00 AM Shift 3: 1:00 AM – 10:00 AM Job Type: Contractual / Temporary Pay: ₹200,000.00 - ₹300,000.00 per year Benefits: Work from home Application Question(s): Required* Please indicate your preferred shift among the following: 1. Shift 1: 9:00 AM – 6:00 PM 2. Shift 2: 5:00 PM – 2:00 AM 3. Shift 3: 1:00 AM – 10:00 AM” Expected Start Date: 15/12/2025