• Translate architectural decisions and requirements into implementation-ready technical designs • Perform hands-on development and configuration of intranet components using Microsoft 365 out-of-the-box capabilities and custom development (e.g. SPFx, Power Platform, APIs) • Design, deploy, and configure Azure components required for integration with external systems • Implement, configure, and validate intranet components across development, test, UAT, and production environments • Ensure delivered components comply with architectural standards, security, performance, accessibility, and maintainability principles • Perform technical quality assurance activities, including reviewing developed components against technical designs and standards • Support UI consistency and accessibility validation from a technical implementation perspective • Design, implement, and enhance custom migration tooling and execution mechanisms where required • Support migration preparation, execution, and validation activities from a technical standpoint • Provide structured reporting on technical delivery, migration progress, risks, and readiness • Contribute to knowledge transfer and ensure continuity for operations and future evolution

Role Description The Distinguished Software Engineer is responsible for conceptualizing and leading the overall design enhancement, integration, testing, release and life cycle support of present and future MSD software products. This role is a primary guide for ensuring all teams deliver simple technical solutions to complex problems with forethought and proper abstractions and modularity for long-term code lifespan. - Responsible for guiding and mentoring various teams in the design, development and testing of software for use with and in MSD’s products. - Provide expertise to the design of appropriate cloud, UI, architectural, database and instrument controls for company software products. - Oversee as well as conduct modeling of behaviors, object hierarchies, database structures and systems. - Present and participate in peer reviews of code and designs as required. - Focus on the constant innovation, refinement and optimization of our software development processes, practices, and tools. - Focus on the constant innovation, improvement, and optimization in the technical stack used in the software, as well as the technical stack on which the software is deployed. - Develop and implement standard operating procedures (SOPs) as needed. - Responsible for conceptualizing future software directions for MSD and future-proofing the technical solutions. - Specific duties may vary depending upon departmental requirements. Qualifications - A minimum of Bachelor’s degree in Computer Science or related field is required, Master’s degree preferred. - Minimum 20 years of experience in a software engineering environment with demonstrated leadership responsibilities. - Experience with Agile software management in a lead role. Requirements - Advanced knowledge of best software processes/practices related to the software development life cycle. - Experience with the full stack of client and web applications, from UI through database and devops development. - Expert knowledge of Java as well as one or more other object oriented or scripting languages, as well as relational databases. Java and JavaFX, SQL, JavaScript and frameworks like React/Angular, Html and CSS are highly desired. - Experience with cloud based deployments and operations. AWS desired. - Advanced knowledge of build tools/automated build systems and installation software desired: Jenkins/TeamCity/CodeBuild, etc. - Strong logical problem solving abilities and demonstrated ability to understand large software code bases and recognize areas for improvement and extension as required. - Aptitude for and track record of architecting new solutions, decomposing complex problems into simplified steps with proper abstractions and modularity for long-term code lifespan. - Demonstrated ability to understand large existing software code bases and recognize areas for improvement and extension as required. - The ability to provide guidance, mentoring and training to colleagues. - Demonstrated propensity to be creative, collaborative, proactive, and self-motivated in the execution and completion of assigned accountabilities. - Excellent oral, written communication and interpersonal skills. - Excellent organizational, planning, and time management skills with the ability to manage multiple and often changing priorities and issues of varying complexity, while meeting time-sensitive deadlines and deliverables. - Ability to work independently, as an effective team member and with all levels of the company. Benefits - Comprehensive benefits package to support employees' well-being and financial security. - Medical, dental, and vision coverage, along with prescription benefits. - 401(k) plan with company matching. - Flexible spending accounts. - Company-paid short- and long-term disability insurance. - Group life and accidental death and dismemberment insurance. - Paid vacation, paid sick leave, paid holidays, and paid parental leave. - Employee assistance program. - Voluntary perks including fitness club membership contribution, pet insurance, identity theft protection, home and auto insurance discounts, and optional supplemental life insurance.

Role Description This role will be a key part of building Midnite’s new internal back office platform and shaping how internal tools evolve across the business. You’ll work across the stack to deliver high-quality admin experiences used by teams every day, while also contributing to practical AI-enabled improvements in both internal tooling and engineering workflows. This is a senior individual contributor role with meaningful ownership, particularly across the frontend experience, working closely with Product, Design, and engineering teammates to build scalable systems from the ground up. - Build fullstack features for Midnite’s internal back office platform. - Own features end-to-end across backend APIs and internal UIs. - Write production code across Python backend and modern frontend technologies, primarily Vue + Tailwind. - Work closely with Product and Design to implement high-quality internal experiences. - Design and build APIs as part of fullstack feature delivery. - Contribute to practical AI-enabled features and internal tooling improvements. - Explore ways AI and automation can improve engineering workflows and team efficiency. - Participate in code reviews and maintain a high quality bar across the codebase. - Mentor junior engineers and contribute to raising the technical standard of the team. Qualifications - 5+ years of engineering experience across frontend and backend. - Strong frontend capability in a modern JavaScript framework such as Vue, React, or Angular. - Backend development experience in Python or a similar language. - Ability to build end-to-end features across UI, API, and database layers. - Experience working closely with Product to build good product experiences. - Strong ownership and ability to operate effectively in a fast-moving, ambiguous environment. - Interest in AI tooling, automation, and practical experimentation. - Clear communication and ability to work well with Product, Design, and engineering teammates. Benefits - Private health insurance (optical included, dental optional). - Income protection. - 25 days’ holiday + generous parental leave. - Flexible working + fully supported home setup. - Salary sacrifice schemes (nursery, tech & more) + retail discounts. - Quarterly team socials. - Clear pay bands and a strong focus on growth and feedback.

Role Description We are looking for a Senior LLM Developer / AI Full Stack Developer in Lithuania or Latvia to work remotely for our client. Key Responsibilities: - Design and implement end-to-end GenAI solutions using Python. - Build agentic workflows using frameworks such as LangGraph, tool/function calling, MCP, and multi-agent orchestration. - Develop robust RAG pipelines including ingestion, chunking, embeddings, vector search, re-ranking, and grounding validation. - Implement memory strategies (short-term, long-term, summarised, vector-based memory). - Integrate and evaluate multiple LLM models (e.g., GPT-4.x series, GPT-4o). - Develop structured output and tool-calling systems with schema enforcement. - Build evaluation frameworks covering hallucination detection, quality scoring, latency, and cost metrics. - Implement Responsible AI guardrails including input/output filtering and fallback strategies. - Collaborate with DevOps/LLMOps teams for deployment, monitoring, scaling, and cost optimisation. Qualifications - Strong hands-on Python development (mandatory). - Experience with GenAI frameworks (LangChain, LangGraph, CrewAI). - Deep understanding of agentic reasoning, orchestration, and tool integration. - Experience with Azure AI Foundry and Azure OpenAI. - Familiarity with vector databases (Azure AI Search, Pinecone, Weaviate, OpenSearch). - Understanding of tokenisation, context windows, rate limits, and cost optimisation. - API integration, async programming, and resilient error handling patterns. - Strong knowledge of Responsible AI risks and mitigation. Requirements - Production-first mindset (observability, resilience, scalability). - Ability to balance innovation with compliance and safety. Benefits - Remote full-time work. - B2B contract. - Rate: 33 - 35 EUR/h (negotiable). Recruitment Process - CV Screening: Applications are reviewed within 24 hours. - Pre-Screening Interview: A brief Q/A session (Automated or with a Recruiter) designed to learn more about your experience related to the required job position. - Automated Session (Recommended): You can complete this session on your own at a time that is convenient for you. The questions and follow-ups are well-structured and designed to highlight your experience and provide detailed insights into your background. This option is recommended because it's usually more detailed and allows us to provide feedback from the hiring manager faster. - Session with a Recruiter: You can also have the session with a recruiter. The questions are the same, but the discussion may be a bit less detailed, and feedback might take a little longer. - Shortlisting: Qualified candidates are presented to the hiring manager for review. - Formal Interviews: On-site discussions with the hiring manager or project team, with feedback provided within 1-2 weeks. - Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process. Information about the processing of your personal data is provided in our Privacy Policy, which is available online at Privacy Policy.