Golang developer

Position Overview 

The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems. 

Responsibilities 

• Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms 
• Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning 
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection 
• Deploy, maintain and monitor containerized ML workloads 
• Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows 
• Implement AI-driven data validation, schema and concept drift detection and metadata management. 
• Establish governance frameworks for AI systems, including bias detection, explainability, and auditability 
• Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention 
• Develop automated test suites for model performance, regression, edge cases and bias validation 
• Monitor model KPIs (accuracy, precision, recall, latency, calibration) 
• Ensure reproducability of experiments and production models 
• Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption 

Qualifications 

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field 
• 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering 
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure 
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn 

What we're looking for

Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.

We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.

You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.

Engineering Lead:

In this role, you will:

Own engineering execution across the team:

·        Plan sprints, set timelines, track progress, and hold people accountable

·        Run gate reviews before production deploys and flag risks before they become misses

·        Coordinate between our algo team and platform team

·        Be the person who makes sure things ship by being close enough to the work to know when something's going wrong

Roll up your sleeves and build alongside the team:

·        Debug production issues together with engineers, not delegate and wait

·        Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues

·        Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint

Bring technical depth across algorithms and platform:

·        Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes

·        Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers

·        Ideally have worked on desktop applications or integrations with CAD software APIs

Make the team better over time:

·        Give direct, specific feedback - including the uncomfortable kind

·        Know when an engineer needs clearer specs vs more autonomy vs a push

·        Identify process gaps and fix them without adding bureaucracy

Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).

Requirements:

·        5-7 years in software engineering, with experience leading teams of 5–10 engineers

·        Strong Python - comfortable reading and contributing to algorithm code

·        Experience scaling platforms that serve real customers with reliability requirements

·        Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters

·        Desktop application development or API integrations with CAD software is a strong plus

·        You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically

·        Startup experience preferred - you know the difference between useful process and process theater

Preferred Qualifications:

·        Background in 3D / manufacturing

·        Experience with computational geometry / 3D modelling workflows 

·        You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title

·        You use AI tools in your daily workflow - Claude Code, Cursor

ACCOUNT BASED MARKETING MANAGER

Marketing · Growth

📍 Noida 🕐 Full-Time 🧭 2-5 years

THE MISSION

We aren't automating scripts — we're deprecating the era of manual-heavy testing entirely. We're hiring for this mandate for one of our Port-folio Client in (B2B SaaS AI Product Company). Their AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.

Drive targeted account engagement and conversion through strategic ABM initiatives and precise budget management.

THE PILLARS OF IMPACT

🚀 1. Strategic Account Engagement (50%)

– Develop personalized campaigns for high-value accounts.

– Leverage LinkedIn ads for precise audience targeting.

– Collaborate with sales for seamless lead handoff.

– Optimize campaigns to exceed conversion targets.

⚙️ 2. Budget Management and Optimization (30%)

– Manage and optimize budgets exceeding $20,000.

– Track and report on ROI for marketing spend.

– Ensure efficient allocation of resources across campaigns.

🧠 3. Creative Development (20%)

– Design impactful landing pages for campaigns.

– Create ad creatives that drive engagement.

– Collaborate with design team for visual assets.

MUST-HAVES — DO NOT APPLY UNLESS YOU HAVE THESE

– Hands-on experience with LinkedIn ads

– Managed budgets exceeding $20,000

– Ability to create landing pages and ad creatives

THE BAR — WHAT YOU MUST PROVE

LinkedIn Ads Expertise: Successfully ran LinkedIn ad campaigns with high engagement rates.

Budget Management: Managed marketing budgets over $20,000 with a proven track record.

Creative Development: Developed landing pages and ad creatives that enhanced campaign performance.

Collaboration with Sales: Aligned marketing strategies with sales targets for improved conversions.

YOUR PATH

Reports to the VP of Marketing, working closely with the sales and design teams. In 12-18 months, potential growth into a Senior ABM Manager role, leading larger-scale initiatives and strategic planning.

Your growth at AI is mapped to what you ship — not how long you've been here.

Required Skills

LinkedIn outreach, Landing Pages, B2B SaaS Sales, LinkedIn Campaign’s, Ad creatives, LinkedIn Campaign Manager, Account Based Marketing (ABM), LinkedIn Campaign Manager, LinkedIn Ads, Demand Generation, Account Engagement

• B2B SaaS
• Enterprise Marketing
• Performance Marketing
• Paid Media
• Pipeline Generation
• Landing Page Optimization
• Conversion Rate Optimization (CRO)

1. Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation

1. To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.

1. To actively engage yourself to collect inventory, stocks and work reports of the distributor in a

daily/weekly basis.

1. To look after smooth functioning and supply chain of the authorized distributor under your

periphery.

1. To oversee sales executive schedule and plan them accordingly.

1. To facilitate cross-functional communications among project stakeholders.

1. To actively engage yourself with core marketing policies required for business development.

1. To look after the grievances and claims arising from time to time maintaining proper

coordination with the company.

1. To actively follow other marketing strategies and instructions as and when instructed by the company.

Skills:-

Javascript, HTML, CSS, Angular.

Responsibilities: -

• Developing and maintaining all server-side network components.

• Ensuring optimal performance of the central database and responsiveness to
front-end requests.

• Collaborating with front-end developers on the integration of elements.

• Designing customer-facing UI and Front-end services for various business
processes.

• Developing high-performance applications by writing testable, reusable, and
efficient code.

• Implementing effective security protocols, data protection measures, and
storage solutions.

• Running diagnostic tests, repairing defects, and providing technical support.

• Documenting Node.js processes, including database schemas, as well as
preparing reports.

• Recommending and implementing improvements to processes and
technologies.

• Keeping informed of advancements in the field of Front-end development.

Required Skills and Professional Expertise:

• Bachelor's degree in computer science, information science, or similar.

• Proven hands-on- experience on Software Development.

• At least one year of experience in Angular js.

• Hands-on-experience in designing application using  Angular js, HTML, CSS, Javascript.

• Profound insights of Angular (Class loading, Memory Management,
Transaction Management etc.)

• Experience in developing Web applications using at least one popular web
framework (MVC)

• Experience with test-driven development.

• Superb interpersonal, communication, and collaboration skills.

• Exceptional analytical and problem-solving aptitude.

• Availability to resolve urgent web application issues outside of business hours.

Notice period : immediate to 30 Days

• Server Monitoring
• Deployments
• Collecting information about the reported issues
• Ensuring whether all the information has been logged in the ticketing system or not
• Must be able to follow and execute instructions specified in user guides, emails to run, monitor and trouble shoot
• Must be able and willing to document activities, procedures
• Must have trouble shooting skills and have knowledge on Antivirus, Firewall, Gateway
• Should be ready to work for extended shifts, if
• Good customer management skills bundled with good communication skills
• Databases: concepts and ability to use DB tools such as psql,
• Good Understanding of Oracle, weblogic, Linux/ Unix Terminology and able to execute commands
• Internet Technologies : Tomcat/ apache concepts, basic html, etc
• Able to use MS- Excel, Power Point

Experience with Hibernate and Spring.

•   Experience with Spring-boot, spring MVC
• Experience with all phases of the Software Development Lifecycle, including system analysis, design, coding, testing, debugging and documentation
• Teamwork & collaboration skills to work across organizations
• Problem solving skills to develop quick yet sound solutions to resolve complex issues
• Programming Language(s): Java, J2EE, JSON, HTML, DHTML, HTML 5, XML, EXTJS.
• Experience with XML/HTTP and Web Services
• Experience with HTML, JSP, CSS, JQuery / Ajax / JSON,
•     Experience /Knowledge of Angular, React.
• Experience building J2EE based Web Applications
• Experience with MySql.