How often are new jobs added?

Every minute. We scan thousands of hiring sources in real-time so you see roles as soon as they go live, often hours before they appear on public job boards.Early access = higher odds of getting interviewed.

Why can I only view limited per day on the free plan?

Free access gives everyone a fair starting point. But seeing every job instantly creates an unfair advantage, so unlimited browsing is reserved for Pro users who want full access to fresh, hidden, and time-sensitive roles. Limiting free browsing also prevents automated scraping by competitors.

What sources do you pull jobs from?

We aggregate from: - company career pages - startup platforms - ATS systems (Greenhouse, Lever, Ashby, Workable, etc.) - niche regional job boards - hidden talent networks not indexed by Google Over 50,000 sources → one unified feed.

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Yes. We automatically remove: - expired listings - spam - shady postings - duplicates - fake "ghost jobs" Every job you see is active, real, and verified at the source.

What’s the benefit of upgrading to Pro?

Pro gives you an information advantage. You unlock: - unlimited job browsing - real-time alerts for your saved filters - early access to newly discovered roles - deeper filtering (salary, remote, visa, experience, etc.) - access to hidden sources most job seekers never find Pro users consistently apply earlier and get significantly higher interview rates.

Can I filter by location, experience, remote, or salary?

Yes and Pro unlocks the power filters job boards don’t show you, including: - roles posted in the last 24 hours - company ATS only - startup-only sources - remote-flex categories - international roles by timezone

Why are early alerts so important?

Most job applications pile up within the first 6–12 hours after posting. If you apply early, you skip the crowd and rank higher in recruiter screening. Our alerts give you that timing advantage.

If the employer provides it, yes. If not, we attempt to estimate using salary bands from public and private datasets (Pro only).

Is DayOneJobs suitable for senior roles too?

Yes. We cover all roles, from internships to senior-level. Filters simply let you tailor your feed to your level.

JOB DETAILS

Engineering Manager – Fullstack & AI Engineering

CompanyCodvo.ai

LocationPune

Work ModeOn Site

PostedMarch 29, 2026

About The Company

At Codvo.ai, we help enterprises move beyond AI experimentation to real AI execution. We design, train, and operate AI systems that integrate seamlessly into enterprise workflows—delivering reliable, governed, and measurable outcomes. Powered by Hybrid Teams and our NeIO 2.0 Operational AI Platform, we enable organizations to scale AI from pilots to production—transforming operations with intelligent automation, digital coworkers, and continuous optimization. Codvo.ai — Enterprise AI Execution

About the Role

Job Description: Engineering Manager – AI Engineering Location: [Remote – India] Experience: 8–14+ years Role Type: Full-time  About Codvo.ai Codvo.ai is a next-gen technology consulting and product engineering companyfocused on delivering AI-driven digital transformation. We blend engineeringexcellence, innovation, and a strong problem-solving culture to craft solutions thatscale. We partner with global enterprises across FinTech, Digital Commerce,HealthTech, and Emerging Tech ecosystems.If you are passionate about building teams, solving deep technical challenges, andapplying AI to accelerate product development — this role is for you. About the Role We are looking for an Engineering Manager – AI Engineering who combines peopleleadership, technical depth, and hands-on programming expertise. You will lead ahigh-performing engineering team that builds intelligent, scalable, and productiongrade systems leveraging AI, automation, cloud, and modern full-stack frameworks.This is a hybrid role that blends AI engineering, hands-on development, deliverymanagement, and team leadership. Key Responsibilities  AI Engineering Leadership • Lead teams building AI-powered applications, intelligent automation, and datadriven solutions.• Guide engineers on integrating LLMs, vector search, prompt engineering, and AIpipelines into products.• Partner with AI/ML specialists to convert POCs into scalable productionsystems. Hands-On Technical Contribution (Must be 30–40% hands-on)• Contribute actively to codebases using Node.js, Python, React.js, Angular, andrelated frameworks.• Design microservices, APIs, and cloud-native applications with AI componentsembedded.• Perform code reviews, provide architectural direction, and ensure highengineering standards.• Build reusable components, utilities, and internal tooling that accelerate AIdelivery. Delivery & Execution • Own delivery excellence across sprints — scope planning, engineeringestimations, prioritization, dependency management, and stakeholderalignment.• Drive high-quality, on-time delivery for AI and application engineering initiatives.• Ensure strong CI/CD, DevOps automation, and observability practices within theteam. People Leadership • Lead, mentor, and coach a team of 6–12 engineers, AI developers, and techleads.• Conduct 1:1s, performance reviews, skill assessments, and career coaching.• Hire strong engineering talent and ensure smooth onboarding and competencygrowth.• Build a culture of ownership, innovation, continuous learning, andexperimentation. Architecture & Technical Direction • Work closely with architects to define scalable AI + application architectures.• Lead design discussions around distributed systems, API contracts, data flows,and model integration.• Evaluate new AI tools, frameworks, and cloud services; make recommendationsfor adoption. Cross-Functional Collaboration • Partner with Product Managers, UX designers, AI/ML engineers, and DevOpsteams to deliver cohesive solutions.• Translate business problems into technical solutions with clear trade-offs andmeasurable impact.• Communicate progress, risks, and technical decisions clearly to stakeholdersand customers. Qualifications  Must Have • 8–14+ years of engineering experience with 2–5+ years in team/peoplemanagement.• Strong hands-on programming expertise in:o Node.jso Pythono React.jso Angular• Experience delivering AI-enabled applications, generative AI features, or MLintegrated systems.• Solid understanding of microservices, distributed systems, API design, andcloud platforms (AWS/Azure/GCP).• Proven ability to lead engineering teams and deliver complex projects end-toend. Good to Have • Experience with vector DBs (Pinecone, Qdrant, Weaviate, PGVector).• Knowledge of LLM orchestration (LangChain, LlamaIndex, custom pipelines).• Exposure to MLOps, model deployment, and AI observability.• Experience with enterprise consulting/client-facing delivery.

Key Skills

Engineering ManagementAI EngineeringNode.jsPythonReact.jsAngularMicroservicesDistributed SystemsAPI DesignCloud PlatformsAI ApplicationsGenerative AIMLOpsDevOpsTeam LeadershipTechnical Direction