ForgeRock Developer

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really is :

We are seeking a detail-oriented and technically strong AI QA Engineer to ensure the quality, reliability, and performance of Large Language Model (LLM)-based systems. In this role, you will be responsible for designing and executing test strategies, validating model outputs, and building evaluation frameworks to enhance the accuracy, safety, and overall performance of AI-driven applications.We would particularly value candidates who have hands-on experience in developing evaluation frameworks (evals) for AI systems, along with strong expertise in comprehensive system testing and quality assurance practices.You are responsible for making MeltPlan work in the real world.

What You'll Do:

• Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI systems.
• Perform end-to-end system testing, regression testing, and performance testing for AI-driven applications.
• Validate model outputs for accuracy, consistency, safety, hallucination detection, and edge cases.
• Build automated test pipelines and quality benchmarks for AI systems.
• Collaborate closely with AI/ML engineers, product teams, and platform engineers to improve system reliability.
• Analyze failures, identify root causes, and provide actionable feedback to improve model behavior.
• Develop datasets, prompts, and testing scenarios to measure model performance across multiple use cases.
• Monitor production performance and continuously improve evaluation metrics and testing standards.
• Ensure compliance with responsible AI and quality assurance best practices.

What We're looking for: 

• Bachelor’s degree in Computer Science, Engineering, or related field
• 5–7 years of experience in QA/testing, preferably in AI/ML or data-driven systems
• Strong experience in AI/LLM evaluation frameworks and system testing.
• Hands-on experience with automated testing methodologies and QA processes.
• Familiarity with prompt engineering, AI benchmarking, and model validation techniques.
• Experience working with Python and testing frameworks.
• Understanding of LLM behaviors, hallucinations, prompt injection risks, and AI safety concepts.
• Exposure to tools/frameworks such as OpenAI Evals, LangSmith, DeepEval, Promptfoo, or similar platforms is preferred.
• Strong analytical and debugging skills with attention to detail.
• Excellent collaboration and communication skills.
• Familiarity with Large Language Models and Generative AI concepts
• Experience with API testing tools (e.g., Postman) and automation frameworks
• Understanding of NLP concepts such as tokenization, embeddings, and text generation
• Strong analytical and problem-solving skills
• Experience testing AI/ML models or data pipelines
• Experience with prompt engineering and prompt testing
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Exposure to AI safety, bias detection, and model governance

Bonus if you have:

• Have worked in construction or on project sites
• Have startup experience
• Experience working with Generative AI or conversational AI products.
• Knowledge of CI/CD pipelines and automation workflows.
• Prior experience in performance testing and monitoring distributed systems.
• Understanding of AI product lifecycle and production deployment environments.

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

Why meltplan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

Job Description: 

We are looking for a Hardware Design Engineer (5–8 years) to join our core engineering team. The role involves end-to-end ownership of embedded hardware design, including schematics, component selection, library creation, and guiding PCB layout through fabrication in collaboration with PCB teams. The ideal candidate should have strong communication skills, a practical understanding of real-world systems, and the ability to work closely with cross-functional teams. 

We are looking for a serious, long-term professional who is passionate about hardware design and willing to take full ownership of product development. 

Job Responsibilities:

• Design and develop end-to-end embedded hardware systems (analogue & digital) from concept to production 

• Architect and implement designs using MPUs/MCUs (i.MX, Sitara, STM32, Renesas) 

• Develop robust schematics, perform component selection, and ensure reliability, safety, and compliance considerations 

• Implement and integrate high-speed and industrial interfaces (DDR, Ethernet, USB, CAN, RS-485, SPI, I2C, UART) 

• Perform circuit simulations and design validation using tools like PSpice / LTSpice 

• Work closely with PCB layout engineers to: 

• Define stack-up and routing constraints 

• Ensure Signal Integrity (SI) and Power Integrity (PI) 

• Review and approve PCB layouts 

• Analyze schematics and design documents to guide PCB placement and routing strategy 

• Lead board bring-up, debugging, and root cause analysis 

• Use lab tools (oscilloscope, logic analyzer, etc.) for hardware validation and troubleshooting 

• Ensure DFM/DFT compliance and support manufacturing, assembly, and testing 

• Drive designs through prototype (PCBA), validation, and production readiness 

• Collaborate with firmware and mechanical teams for system-level integration 

• Participate in design reviews, risk analysis, and issue resolution

Required Skills:

• Strong expertise in analogue circuit design (power, filtering, protection, signal conditioning) 

• Solid experience in digital design using MCU/MPU-based system

• Hands-on experience with: 

o NXP i.MX / TI Sitara (MPU-based systems preferred)

o STM32 / Renesas microcontrollers 

• Proven experience in high-speed hardware design: 

o DDR memory interfaces 

o Ethernet, USB, and high-speed communication buses 

• Strong understanding of Signal Integrity (SI) and Power Integrity (PI) 

• Experience working with and guiding PCB design using: 

o Mentor Graphics Xpedition 

o Cadence Allegro o Altium Designer 

• Hands-on experience with simulation tools (PSpice, LTSpice) 

• Strong hardware debugging skills using: 

o Oscilloscope

o Logic analyzer

o Multimeter 

• Experience in board bring-up and hardware validation 

• Knowledge of DFM (Design for Manufacturing) and DFT (Design for Testability) 

• Exposure to EMI/EMC design practices 

• Experience in taking designs from schematic → PCB → PCBA → validation → production 

• Good understanding of hardware–firmware interaction and system integration 

• Strong problem-solving and root cause analysis capability.

Requirements:

- Writing, editing and proofreading website content.

- Write Articles, Blogs, Social media,  Forum and other SEO best practices.

- Develop content to support SEO strategies to drive traffic to the site and improve website Ranking.

- Understanding of Web publishing requirements.

- Experience in creating content for the web and growing a social audience.

- Editorial mindset with an ability to predict audience preferences.

- Expertise in social media platforms.

- Collaborate with multiple teams to develop compelling content plans.

- Ability to deliver high-quality documentation paying attention to details.  

- Basic Knowledge of technical terminologies.

- Excellent communication skills in English both written and spoken.

KEY RESPONSIBILITES:

Application Development

• Work with Salesforce Tech Lead on requirements gathering/design workshops and define system design and solutions to be implemented on the Salesforce Platform
• Responsible for designing/configuring, developing, testing, training, documenting, and deploying high-quality code and adhering to best practices on the platform
• Design, develop and integrate Salesforce apps and components with back-office systems such as ERP systems using modern web tools and technologies
• Assist in identifying, troubleshooting, and resolving defects encountered during various stages of project delivery, including during deployment and implementation in production environments
• Write well-structured code using Apex, LWC, JavaScript, CSS, and HTML using the appropriate features and capabilities of each framework or language
•  

System Administration

• Provide system administration support for the Salesforce environment, especially related to customized applications, user permissions, security settings, custom objects, and workflow
• Creating and maintaining system interface diagrams, functional designs, and technical specifications documentation
• Review Salesforce Release Notes to have familiarity with new additions and enhancements

Platform Engineering Team - where HE/SHE will be a direct impact on the entire engineering org by leading the design, build, and test of critical systems leveraged by all engineers every day. HE/SHE will manage and operate CI/CD systems, Artefact management systems, and common infra automation. HE/SHE will be partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug, and release software quickly.

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

• As a polyglot developer Ideally, you should have:
• 1.5+ years of development experience using any of technology java, scala, python or any similar exciting technologies.
• Hands-on experience in coding, and implementation of complex, custom-built applications Working knowledge of build tool like maven/sbt and code versioning systems like git/bitbucket/cvs/svn
• Familiarity with few databases, like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL etc Great OO skills, including strong design patterns knowledge
• Good communication and ability to work in a consulting environment is essential

• Think through hard problems in a consultancy environment, and work with amazing people to make the solutions a reality Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience
• Build custom software using the latest technologies and tools Craft your own career path

• Providing solution to real problems in Bigdata world.
• RnD on using the latest tools,techniques and cloud services.
• Automating the manual-timetaking tasks.
• Hands-on coding, usually in a pair programming environment.
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments
• Understanding the business domain deeply