ABOUT THE ROLE We’re hiring a strong senior IC engineer to own core projects at Writesonic. This is not a management position—it’s a hands-on builder role for someone who can go deep into hard problems, ship fast, and think like a product owner from an overall business, use-case, and customer perspective.You will take vague, high-impact problems and turn them into production systems that directly move revenue and retention. You’ll work across LLM infrastructure, product features, and AI tooling—operating with full autonomy and minimal hand-holding. WHAT YOU’LL DO - Own and ship core AI-powered product features end-to-end—from problem definition to production deployment and measurement. - Design, build, and optimize production LLM systems including RAG pipelines, AI agents, embedding workflows, evaluation frameworks, and fine-tuning pipelines. - Make architecture and system design decisions across backend services, databases (SQL and vector), APIs, and cloud infrastructure. - Dive deep into the business domain (marketing, SEO, GEO, content automation) to make smart product and engineering trade-offs. - Connect every engineering decision to user outcomes—ask “does this move revenue or retention?” before “is this technically elegant?” - Collaborate directly with founders and cross-functional teams, operating as a product-minded engineer rather than a spec-follower. MUST-HAVE QUALIFICATIONSBackend Engineering Fundamentals - Strong proficiency in Python as the primary language. - Solid grasp of system design, API design, SQL and vector databases, and cloud infrastructure. Production LLM Experience (2+ Years) - Built and shipped real production systems using LLMs, RAG pipelines, agents, embeddings, evals, or fine-tuning. - Understands the limits of models—not just the hype. Can clearly articulate the difference between RAG and fine-tuning and when to use each. Independent Ownership - Can take a vague problem, define the solution, build it, and measure its impact without hand-holding. - Track record of shipping autonomously and iterating based on real user/business feedback. Domain-Diving Instinct - Willingness and ability to learn the business domain (marketing, SEO, GEO, content) deeply enough to make smart product calls. - This is the rarest trait we screen for—engineers who understand the “why” behind what they build. Business-First Thinking - Consistently connects engineering decisions to user outcomes, revenue impact, and retention metrics. - Asks “does this move the needle for customers?” before optimizing for technical elegance. NICE-TO-HAVE - Open-source contributions or a published technical blog demonstrating depth of thinking. - Experience with GEO, SEO, AI search, or content automation systems. - Founding engineer or 0-to-1 product experience at an early-stage startup. WHO YOU’LL WORK WITH You’ll report directly to the Founder, Head of Engineering and work alongside a lean, high-output engineering team. Expect direct access to leadership, fast decision cycles, and zero bureaucracy. If you’ve thrived at places like Trilogy/Crossover, AI-native startups, or high-bar FAANG teams—you’ll feel at home. WHY WRITESONIC - Work on AI products used by millions—not internal tooling or incremental features. - Full ownership of high-impact projects from day one. - Startup speed with real revenue and real users. - Direct collaboration with founders who are technical and product-minded. - Competitive compensation aligned with top-tier IC roles in India.

• Own the full lifecycle of AI projects-from ideation and data collection to production deployment and post-launch evaluation. • Write well-designed, efficient, and testable code that integrates directly into product codebases • Implement Model Context Protocol (MCP) to connect LLMs with proprietary data sources and internal tools securely • Scope and build Generative AI solutions using a mixture of SaaS (OpenAI, AWS Bedrock) and Open Source solutions. • Work with development, QA, and infrastructure teams to scale and monitor AI solutions in production

At Everway, our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood. We’re a global community of over 600 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive. We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully. Join us at Everway - together, we can unlock the full potential of every mind. About the role At Everway, we're building AI capabilities that serve 250M+ users and transform how 1,500+ employees work. We're looking for a Senior AI Engineer to be the founding engineer for AI Enablement — building MCP infrastructure, agentic workflows, and driving AI adoption across the business. This is a founding role with significant growth potential. You'll be the engineer who builds the core infrastructure that connects AI agents to our internal systems. You'll ship production solutions and contribute to the roadmap as the function evolves. As we scale, you'll have the opportunity to grow into a leadership position and help build a team. You'll build MCP servers that securely connect LLMs to Salesforce, Snowflake, Google Workspace, and internal tools. You'll develop agentic workflows that automate business processes across sales, marketing, customer success, and operations. And you'll work directly with stakeholders across the organisation to understand requirements and deliver working solutions. We've already demonstrated strong traction: 400+ weekly active AI users, tools delivering measurable ROI, and executive support for ambitious next steps. You'll join at the right moment to take on a critical growth area and make it your own. Main Responsibilities - MCP Development: Build and maintain Model Context Protocol servers that securely connect LLMs to enterprise systems (Salesforce, HubSpot, Snowflake, Google Workspace, internal APIs) - Agentic Workflow Development: Develop and ship production-grade agentic workflows with appropriate orchestration, guardrails, and observability - Systems Integration: Build robust, secure integrations between AI systems and enterprise tools, handling authentication, rate limiting, and data governance requirements ● Stakeholder Collaboration: Work with teams across Sales, Marketing, Operations, and Customer Success to understand automation needs and deliver solutions - Technical Documentation: Create documentation and reusable patterns that enable broader AI adoption across engineering teams - Grow with the Function: As we scale, help recruit and mentor team members to expand AI Enablement capabilities Essential Criteria - BSc in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience) - 3+ years of software engineering experience, with meaningful exposure to AI/ML systems in production - Hands-on experience with MCP (Model Context Protocol) — you've built MCP servers or have deep familiarity with the architecture and specification - Experience building agentic AI systems: multi-step workflows, tool use, orchestration frameworks (LangGraph, CrewAI, or similar) - Strong production Python skills — API development, async programming, systems integration - Experience integrating with enterprise systems (CRM, data warehouses, productivity tools) via APIs - Solid engineering fundamentals: CI/CD, testing, containerisation, cloud deployment (AWS preferred) - Comfortable working autonomously and delivering in a fast-moving environment - Clear communicator — able to work with non-technical stakeholders and translate requirements into working solutions Desirable Criteria - Experience with multiple LLM providers (OpenAI, Anthropic, AWS Bedrock) - Interest in growing into team leadership and mentoring - Knowledge of AI governance, data protection, and responsible AI practices - Background in internal tooling, platform engineering, or developer experience - Experience in EdTech, SaaS, or scaling organisations Please submit your application on our website by 17th April 2026. Please note: applications may close early due to high demand, so early submission is encouraged. Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success! We are committed to providing a Drug-Free Workplace for all employees. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. You can view our Recruitment and Selection Policy here. Please click the link for our Privacy Notice

Babcock & Wilcox is seeking a highly experienced and versatile Senior Software & Embedded Systems Engineer to lead the development, enhancement, and maintenance of a comprehensive suite of industrial control software and embedded systems. This role encompasses full-cycle software engineering responsibilities across multiple generations of Windows-based applications and embedded firmware, supporting pollution control and industrial automation systems. The ideal candidate will bring deep expertise in Delphi and embedded C/C++ development, strong systems integration skills, and a proactive, customer-focused mindset. This is a long-term opportunity for a self-starter who thrives in a dynamic, collaborative environment and is looking to make a lasting impact. Key Responsibilities: · Design, develop, and maintain Windows-based control software using Delphi (Embarcadero RAD Studio). · Develop and support embedded firmware in C/C++ for industrial platforms. · Implement and maintain industrial communication protocols including OPC DA, Modbus TCP, MQTT, and IP Multicast. · Collaborate with automation and controls engineers to integrate software with PLC systems and industrial hardware. · Manage full software lifecycle: requirements analysis, design, development, testing, deployment, documentation, and maintenance. · Create and maintain installers using InnoSetup and InstallAware. · Participate in QA/testing, customer support, and training activities. · Design and implement intuitive, high-quality user interfaces. · Document architecture, codebase, and development decisions for internal and external stakeholders. · Troubleshoot and resolve post-deployment issues, including user-reported concerns. Required Qualifications: · Minimum 7 years of experience in object-oriented, component-based software development for Windows. · Strong proficiency in Delphi (RAD Studio); C#/C++ experience considered if willing to transition to Delphi. · Embedded systems programming experience in C/C++ for industrial applications. · Familiarity with development environments such as MPLAB X, Atmel Studio, and IAR Embedded Workbench. · Experience with SQL/DBMS (Firebird preferred). · Proficiency with installer builders (InnoSetup, InstallAware). · Strong documentation and technical writing skills. · Excellent customer-facing communication skills, including remote and in-person support and training. · Ability to work independently and manage shifting priorities and deadlines. · Comfortable working with dispersed teams, including field service engineers and shop personnel. Preferred Qualifications: · Experience with Allen-Bradley / Rockwell Automation platforms and PLC programming (ladder logic, structured text). · Familiarity with RS Logix 500, Studio 5000, and Connected Components Workbench. · Background in industrial automation and control system integration. · Knowledge of industrial communication layers (Ethernet, RS-485) and protocols (OPC DA/UA, Modbus TCP). · Electrical/electronics background, including use of multimeters and oscilloscopes. · Experience working in industrial/manufacturing environments. · Located in the Virginia Tidewater area (Newport News/Virginia Beach) . What We Offer: · Competitive salary and comprehensive benefits package (health/life insurance, 401K matching, paid vacation). · Flexible work schedule and remote work options. · Supportive and collaborative team environment. · Opportunities for professional growth across technical and business domains. · Minimal travel requirements. · Long-term career stability with a focus on innovation and autonomy.