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Job DescriptionWho We Are At Amsive, we're more than just a performance marketing agency; we're a team that thrives on collaboration and innovation. We offer a supportive environment where personal growth is just as important as professional development. We're a team of passionate individuals ready to tackle challenges, learn from one another, and drive results. We believe in empowering our team members, providing them with the tools they need to succeed, and trusting them to lead the way. With decades of expertise and a commitment to integrated solutions, we don't meet the industry standard; we're setting it. If you're looking for a place where your work matters, a career path you can grow on your terms, and a team that's as invested in your success as you are, Amsive is for you. We offer a unique blend of flexibility, growth opportunities, and a culture that values each individual. Join us, and be part of the team ready to welcome, support, and grow with you. This is a REMOTE position. Candidates can be located anywhere in US time zones. Candidates will be required to work ET or CT time zone. New York Metropolitan area is a plus. What we are looking for: Amsive is looking for a Technical AI Agent Developer to join our team. This Developer will have strong engineering expertise to design, build, and scale AI agents across our organization. This role requires deep knowledge of software engineering, cloud infrastructure, and AI frameworks to deliver robust and production-ready agents. You will play a key role in the full lifecycle of agent development including architecture and infrastructure setup, coding, integration, deployment, and monitoring. You will also play a role in selecting the frameworks and toolsets we adopt as a team such as Google ADK, Langlfow, etc. What you will be doing: • Collaborate with SMEs across departments to analyze workflows and identify automation/AI opportunities., • Architect, develop, and optimize AI agents using Google ADK, Vertex AI, and LLM orchestration frameworks., • Implement RAG pipelines (retrieval-augmented generation) with embeddings, vector databases, and efficient context handling., • Build integrations with internal systems (CRM, marketing automation, analytics, etc.) and external APIs., • Ensure scalability, security, and maintainability of deployed agents., • Prototype quickly, validate concepts, and transition successful agents into production., • Document development processes, standards, and best practices., • Partner with data and engineering teams to ensure proper model governance, monitoring, and performance optimization., • Design modular, scalable, and secure system architectures for multi-agent ecosystems., • Develop monitoring, logging, and observability solutions to ensure reliability and track agent performance., • Write clean, testable, and maintainable code following engineering best practices., • 4+ years professional software engineering experience., • Hands-on experience with AI agent frameworks, conversational AI platforms, or workflow automation tools., • Strong proficiency in Python and JavaScript/TypeScript, Go, or Java., • Direct experience or familiarity with LLM orchestration frameworks such as Langchain., • Familiarity with Google Cloud Platform (GCP), especially Vertex AI, Dialogflow, and Google ADK (or willingness to learn).Proven experience with cloud-native development (GCP, AWS, or Azure) including containerization (Docker, Kubernetes)., • Experience with system integrations, REST APIs, webhooks, and microservice design., • Familiarity with vector databases., • Knowledge of RAG (Retrieval-Augmented Generation), embeddings, and prompt engineering., • Strong grasp of data structures, distributed systems, and concurrency., • CI/CD experience with GitHub Actions, GitLab CI, or similar pipelines. If you need any assistance seeking a job opportunity at Amsive, or if you need reasonable accommodation with the application process, please call (331) 318-7800. Amsive is proud to be an Equal Opportunity Employer. We are committed to building a supportive and inclusive environment for all employees. It is Amsive’s continuing policy to provide equal employment opportunity and not to discriminate on the basis of race, color, religion, pregnancy or childbirth, marital status, national origin, ancestry or citizenship status, age, disability, sex, sexual orientation, gender identity, veteran status or any other characteristic protected by applicable federal, state or local laws. This policy applies to all aspects of employment, including (but not limited to) application for employment, recruiting, hiring, compensation, benefits, promotions and transfers, training, layoffs, rehires, termination of employment and all other terms and conditions of employment. As part of the Company's equal employment opportunity policy, Amsive will also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces service medal veterans, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities. Powered by JazzHR MUfNZyG7fz

Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem. EisnerAmper is seeking an AI Solution Architect who will serve as a lead developer on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, au

Job Title - Senior ETL Developer - Azure Data Tools. Azure Data Factory, Azure SQL Database Services, Data Lake and MS SQL. Developer will be involved in developing solutions for enterprise data warehousing (EDW), reporting and business intelligence (.

Duties: Candidate should expect to be onsite 3 days a week, so it s hybrid. The Junior Developer role partners with the Actuary team, IT data team, and primary vendor to support the Actuarial Modeling and Data Management Platform. This position will be accountable for data development, integration, and application support, contributing to the overall performance and usability of the platform. This is an exciting opportunity for a developer with strong Python skills and an interest in actuarial, risk, or financial systems to grow into a specialized engineering career. Exposure to C++ or high-performance computing is a plus, but not a requirement. Contribute to the development of platform features and enhancements using Python. Assist in building data pipelines and integration workflows to support actuarial modeling. Collaborate with senior developers on performance tuning and application reliability. Participate in testing, verification, and deployment of technical solutions. Partner with Actuary Model Development to provide data and tooling support. Work with Actuary Valuation teams to enable model analytics and workflow automation. Skills: Provide with all subs: Current Location and ability to meet location requirements Work Authorization status Availability to Start / upcoming vacations Interview Method Used (video or in-person only) prefer over telephone interview Technical Vetting Summary (if applicable who conducted it, what was assessed) Relevant Experience Overview (brief explanation of why the candidate is a strong fit) Resume Gaps or Job-Hopping Explanation Note any employment gaps and provide explanation if available) Call out any short stints, indicating whether the roles were contract or full time Motivation & Interest / Why the candidate is looking for a new opportunity 2-5 years experience python developer SKILLS Strong proficiency in Python with hands-on project or professional experience. Understanding of software development principles: testing, debugging, version control. Exposure to C++ is desirable but not essential a willingness to learn is valued. Basic knowledge of data management, SQL, and cloud technologies (AWS/Azure). Strong problem-solving and documentation skills. Effective communication skills and ability to work in cross-functional teams. Education: EDUCATION An undergraduate degree in Computer Science, Engineering, IT, or related field (or equivalent combination of education and experience).

Duties: The Senior Developer role partners with the Actuary team, IT data team, and primary vendor to design, build, and optimize the Actuarial Modeling and Data Management Platform. This position will be accountable for developing and maintaining high-performance components, ensuring the platform scales effectively with complex actuarial and risk modeling demands. You will act as a technical leader, bringing deep engineering expertise while working closely with actuarial and data specialists to ensure the platform delivers robust, efficient, and production-grade solutions. Platform Development & Optimization • Lead the design, development, and optimization of core platform components using modern C++ and Python., • Collaborate with Python and data teams to integrate actuarial models, analytics, and data pipelines., • Ensure computational performance, scalability, and reliability across actuarial workloads. Provide with all subs: • Current Location and ability to meet location requirements, • Work Authorization status, • Availability to Start / upcoming vacations, • Interview Method Used (video or in-person only) prefer over telephone interview, • Technical Vetting Summary (if applicable who conducted it, what was assessed), • Relevant Experience Overview (brief explanation of why the candidate is a strong fit), • Resume Gaps or Job-Hopping Explanation, • Note any employment gaps and provide explanation if available), • Call out any short stints, indicating whether the roles were contract or full time Expert C++ skills (C++22 and later) with proven experience in building high-performance, data-intensive systems. Strong understanding of actuarial/risk systems, financial modeling platforms, or large-scale computational engines. Familiarity with Python and ability to work in multi-language environments. Deep knowledge of data management and integration in hybrid cloud ecosystems (AWS / Azure). Hands-on experience with parallelization, GPUs, and performance optimization techniques. Excellent interpersonal and communication skills; ability to interface effectively with actuarial stakeholders. Strong leadership qualities: mentoring, influencing, and guiding technical direction across teams. EDUCATION • An undergraduate or advanced degree in Computer Science, Engineering, or related field (or equivalent combination of education and experience). Candidate should expect to be onsite 3 days a week, so it s hybrid.