Jobs at Devsinc

Supports internal audits by reviewing financial records, testing internal controls and policy compliance, identifying risks and process gaps, investigating discrepancies, preparing audit documentation and reports, and following up on corrective actions. The role also assists with process reviews, risk assessments, and special assignments while maintaining confidentiality and developing practical audit and corporate governance skills.

Acts as the strategic HR partner for a business cluster, owning the employee lifecycle and advising leadership on workforce planning, performance, talent, employee relations, retention, engagement, and organizational change. Uses people analytics to identify risks and connect workforce decisions to commercial outcomes. Supports restructuring, succession planning, performance improvement, policy compliance, leadership coaching, and collaboration with Talent Acquisition, Compensation, Learning and Development, and HR Operations.

Develop and maintain scalable Python backend applications, APIs, microservices, and database solutions. Lead system design, technical discussions, client collaboration, troubleshooting, performance optimization, and delivery. Integrate cloud services and third-party systems, write tested code, participate in reviews and Agile processes, mentor junior developers, and own complex technical challenges in a client-facing services environment.

Develop and maintain AI/ML applications using Python, machine learning, deep learning, generative AI, LLMs, RAG, and agentic AI frameworks. Build backend services and REST APIs, integrate models and vector databases, and support deployment, monitoring, debugging, optimization, and fine-tuning. Collaborate with engineering teams, participate in code reviews, and deliver well-documented solutions in a fast-paced, client-focused environment.

Develop, maintain, and optimize web and mobile applications across multiple technology stacks. Apply object-oriented programming, data structures, algorithms, and design patterns; work with SQL and NoSQL databases; debug and optimize systems; participate in code reviews; and collaborate with cross-functional teams while continuously learning new technologies.

Manage the company’s presence across social media platforms by creating, scheduling, and publishing content; responding to customer interactions; researching trends; developing campaigns; monitoring engagement and competitor activity; and tracking performance. The role requires strong copywriting, communication, creativity, and familiarity with social media analytics, content creation tools, video editing, and scheduling platforms.

Develops, trains, evaluates, deploys, and monitors machine learning and deep learning models. Analyzes structured and unstructured data, builds predictive and recommendation systems, creates data pipelines, and integrates models into production APIs. Uses Generative AI, LLMs, RAG, prompt engineering, and cloud AI services to deliver scalable solutions. Collaborates with technical and business stakeholders, documents experiments, and improves model performance through statistical analysis, feature engineering, and monitoring.

Build fast, accessible, responsive web applications using React, Next.js, and TypeScript. Translate Figma designs into polished interfaces, develop reusable component systems, integrate APIs, manage state, optimize performance, and create AI-powered user experiences. Write comprehensive automated tests, participate in Agile ceremonies and code reviews, present work to clients, and collaborate with designers, product managers, and backend engineers.

Architects, builds, and scales full-stack applications using Node.js, React, Angular, MongoDB, cloud platforms, and modern infrastructure. Owns features from design through deployment and production support, develops APIs and shared UI systems, integrates AI and RAG capabilities, and participates in incident response. The role mentors engineers, leads delivery, communicates technical decisions to stakeholders, and drives projects toward deadlines while maintaining strong testing, security, and operational practices.

Designs and scales Python backend services and APIs while building production agentic AI, RAG, LLM, data, and ML systems. Deploys cloud-native services, establishes evaluation and observability practices, leads technical design, mentors engineers, presents solutions to clients and leadership, and supports production incidents.

Own the full AI/ML lifecycle, designing, deploying, evaluating, optimizing, and monitoring production LLM and generative AI systems. Build RAG, semantic search, AI agents, APIs, microservices, and scalable inference pipelines. Lead architecture, MLOps, security, cloud deployment, experimentation, and model quality improvements while mentoring engineers and collaborating with clients and cross-functional stakeholders.

Design, develop, and deploy scalable AI/ML and data engineering solutions using Python, SQL, machine learning, generative AI, data pipelines, and cloud platforms. Lead client discovery, technical presentations, solution architecture, proposals, demos, and proofs of concept. Partner with sales and leadership to convert opportunities, address technical objections, build client relationships, and support successful project handoffs. Translate complex technical solutions into business value while driving projects from discovery through closure.

Develop, train, evaluate, and deploy machine learning and deep learning models. Prepare data, engineer features, build Generative AI and LLM applications, create RAG pipelines, integrate models through APIs, and support production deployment. Collaborate with software engineers, product teams, stakeholders, and clients to architect solutions, communicate technical approaches, and help convert opportunities into successful projects.

Leads Voosha’s video content from concept and pre-production through shooting and final editing. Produces reels, promos, product walkthroughs, testimonials, YouTube videos, and event coverage. Responsibilities include scripting, storytelling, editing, color, sound, motion graphics, social content ideation, AI-assisted video creation, and shoot management.

Design and maintain Voosha’s visual identity across social media, campaigns, events, and its creator marketplace platform. Develop creative concepts, social posts, ads, banners, product collateral, presentations, and other branded assets. Use AI tools to accelerate ideation and production, refine short-form copy, monitor social trends, and collaborate with content and video teams.

Develop, train, test, and optimize machine learning and deep learning models. Build AI-powered solutions, preprocess structured and unstructured data, explore generative AI and LLM applications, evaluate model performance, and integrate models into software applications. Collaborate cross-functionally while maintaining documentation, code quality, testing, and version control best practices.

Assists with designing, developing, debugging, testing, deploying, and monitoring software applications. Writes clean, documented code, participates in code reviews, collaborates with QA, Product, and DevOps teams, and applies software development best practices while growing technical skills.

Supports the Talent Acquisition team with end-to-end recruitment activities, including candidate sourcing, talent pipeline development, resume screening, interview coordination, job postings, application management, ATS updates, and candidate follow-up. Collaborates with hiring teams across technical and non-technical functions while maintaining accurate recruitment records and supporting daily hiring operations.

Assist with developing, testing, maintaining, and debugging software applications and cloud infrastructure solutions. Contribute to OpenStack-related tasks using Python or MERN stack technologies, write maintainable code, troubleshoot technical issues, and collaborate with engineers while learning new technologies.

Develop and optimize real-time computer vision and medical image segmentation models for ultrasound-guided clinical procedures. Responsibilities include training PyTorch models, evaluating clinician-annotated datasets, optimizing GPU inference, deploying models with Docker and AWS, maintaining reproducible ML pipelines, and collaborating directly with clinicians, infrastructure engineers, external partners, and clients.