ResponsibilitiesArchitect scalable AI systems that connect reasoning, automation, and real-time data. Collaborate with Engineering and Product teams to evolve Brained’s core intelligence stack. Integrate LLMs, retrieval systems, and agentic pipelines into secure, modular workflows. Push the limits of CERA’s contextual understanding and decision-making capabilities. Ensure system reliability, transparency, and performance at enterprise scale. Qualification & Experience5-6 years of experience in AI/ML architecture, backend systems, or intelligent automation. Strong foundation in distributed systems, LLM ops, and vector or graph-based reasoning. Proficiency in Python or Node.js; experience with cloud infra (AWS / GCP / Azure). A systems thinker who can turn abstract ideas into working intelligence.

ResponsibilitiesLead the development of responsive, dynamic web applications using HTML5, CSS3, and modern JavaScript. Architect, design, and implement robust and reusable front-end components and systems using frameworks like React.js, Vue.js, or similar. Seamlessly integrate and bind APIs with front-end applications, ensuring smooth data flow and consistent user experiences across the stack. Build and optimize data visualizations using libraries such as Chart.js and D3.js, while ensuring performance and responsiveness. Champion the implementation of cutting-edge web design principles, including cross-browser compatibility and mobile-first, responsive layouts using advanced tools like Bootstrap.js or custom CSS frameworks. Ensure optimal performance, scalability, and security of applications across multiple platforms. Mentor junior developers and review code to maintain high-quality development standards. Collaborate with UI/UX designers to ensure technical feasibility and adherence to design specifications. Continuously stay up-to-date with the latest front-end development trends and best practices, and contribute to evolving team workflows and processes.Qualification & Experience6-10 years of hands-on experience in front-end web development with advanced proficiency in HTML, CSS, and JavaScript (ES6+). Expertise in modern JavaScript frameworks and libraries like React.js, Vue.js, or similar. Strong understanding of responsive design principles and a deep knowledge of front-end technologies and tools (e.g., Bootstrap, Sass, Webpack, etc.). Experience in API binding and integration, with a deep understanding of RESTful API and GraphQL to handle asynchronous data. Proficiency in creating interactive, data-driven visualizations using Chart.js, D3.js, or similar libraries. Experience with state management (Redux, Vuex, or other equivalent). Expertise in performance optimization techniques for web applications. Solid understanding of front-end tooling, version control (Git), and build systems. Ability to troubleshoot and debug complex issues with exceptional problem-solving skills. Experience with API integration and full-stack development practices. Preferred Skills: Experience with Angular or other front-end frameworks is a plus. Knowledge of server-side technologies and/or familiarity with back-end processes. Exposure to agile development practices and tools (JIRA, Confluence, etc.). Experience with CI/CD pipelines and automated testing frameworks. Familiarity with design systems and UI/UX design tools. Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

ResponsibilitiesManual Testing: Gain a solid understanding of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) to design and execute basic test strategies. Perform different types of testing such as Functional, Regression, Smoke, Sanity, Integration, and System Testing. Write and execute simple test cases based on product specifications and user stories. Report defects using tools like JIRA or Trello, ensuring timely follow-up for resolution. Communicate testing progress, including issues discovered, to team members. Assist in improving testing processes and follow best practices within the team. Automation Testing: Assist in developing basic test scripts for automation using programming languages such as Java, Python, or JavaScript. Work with test automation frameworks like Selenium or other similar tools. Support developers in integrating automated tests into Continuous Integration/Continuous Deployment (CI/CD) pipelines. Validate and test APIs using tools like Postman or SoapUI. Qualification & ExperienceManual Testing: Familiarity with testing fundamentals and test design techniques (Boundary Value Analysis, Equivalence Partitioning, etc.). Automation Basics: Basic knowledge of at least one programming language (Java, Python, JavaScript) for automation tasks. Test Automation Tools: Some experience or exposure to automation frameworks like Selenium, Appium, or similar. API Testing: Basic experience with API testing tools like Postman or SoapUI. Defect Tracking: Familiarity with defect tracking tools such as JIRA or Trello. Soft Skills: Strong attention to detail, problem-solving skills, and the ability to communicate effectively with the team. Optional but a Plus: Exposure to CI/CD pipelines and performance testing tools like JMeter or LoadRunner. Basic understanding of Agile methodologies and collaboration tools like Jira, Trello, or Confluence. Education and Experience: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience. 1 year of experience in software testing or a similar role (internships or training programs count). Exposure to testing in an agile environment or fast-paced work setting is a plus.

Responsibilities Assist in the design, development, and testing of embedded software and firmware Collaborate with the engineering team to contribute to the development of cuttingedge embedded systems Learn and apply knowledge of embedded systems, programming languages, and software development methodologies Participate in code reviews and testing proceduresQualification & ExperienceBachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Currently enrolled in a Master's program in a related field Basic understanding of embedded systems and software development Master's degree in Electrical Engineering, Computer Engineering, or related fieldExperience with programming languages such as C/C++ Knowledge of hardware and software integration Passion for innovation and continuous learning

Responsibilities Spearhead the design, development and deployment of Generative AI solutions tailored for Honeywell business requirements. Provide technical leadership, mentorship and coaching to Data Scientists and AI/ML engineers. Develop top talents to build an effective and high performing team. Direct and support the team members to complete all the project deliverables.Work closely with cross-functional teams to align AI initiatives, ensuring smooth integration of LLM solutions with existing enterprise systems.Engage with senior leadership, providing regular updates on project milestones, risks, and achievements.Identify business requirements and opportunities for Generative AI use cases and work with key stakeholders to create new project / business case. Define best practices and consistent framework for deployment of Generative AI applications, implementing robust LLMOps process and reinforcing Responsible AI principles.Drive operational excellence activities required to ensure a streamlined production process of data science deliveries.Actively lead, analyze, and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.  Stay updated with advancements in AI, specifically Generative AI technologies, and identify potential applications in the enterprise space. Continuously optimize the existing AI/ML operations and help build effective model performance monitoring, alert, and improvement framework to proactively identify problems/issues before business impact. Partner and effectively communicate with Non-IT / Business users, functional counterparts, and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right  Qualification & Experience Bachelors in Computer Science, Data Science or Engineering fields 6+ years of IT experience in solution architect / data scientist / software development for large corporate/organizations 4+ years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc 4+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc, and/or natural language processing using NLTK, spaCy, Gensim, etc. 2+ years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure and/or AWS cloud platforms. Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning. Demonstrated experience in people skills and project management. Master’s Degree in Computer Science, Data Science or Engineering fieldsHands-on project experience with Generative AI Project experience with NLP/NLG, AI Conversational Agent (Chatbot) Experience with Azure OpenAI, Azure Databricks, Airflow, etc. Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment Certifications AI / ML and Cloud platforms Great communication skills

Responsibilities Analyze and interpret large datasets to identify trends and patterns Develop predictive models using machine learning algorithms Collaborate with crossfunctional teams to gather requirements and provide datadriven insights Present findings and recommendations to stakeholders Qualification & Experience Experience in data analysis and machine learning Proficiency in programming languages like Python or R Familiarity with data visualization tools such as Tableau or Power BI Pursuing a Master's degree in Data Science, Computer Science, or a related fieldStrong problem-solving and analytical skills Ability to work collaboratively in a team environment Passion for continuous learning and staying updated with emerging technologies

ResponsibilitiesData Analysis and Processing: Utilize Python, SQL, and Data Science tools like Pandas, NumPy, and Matplotlib to analyze and process large datasets. Model Development: Assist in developing and implementing machine learning models to solve specific business problems. Collaboration: Work closely with senior data scientists and AI experts to understand project requirements and deliver solutions. Research and Innovation: Stay updated with the latest advancements in AI and machine learning and contribute innovative ideas to ongoing projects. Documentation: Document processes, models, and results to ensure clarity and reproducibility of work. Support: Provide support in integrating AI models into production environments and troubleshooting any issues that arise. Good Communication: Effectively communicate with team members to ensure smooth project execution and report findings clearly. LLM Integration with Python: Work on integrating Large Language Models (LLMs) using tools such as Lang chain and OpenAI API within Python-based applications. Qualification & ExperiencePython: Proficiency in Python programming for data analysis and machine learning. SQL: Strong knowledge of SQL for database management and data extraction. Data Science Tools: Experience with data science libraries such as Pandas, NumPy, and Matplotlib. Analytical Skills: Ability to analyze and interpret complex datasets. Communication Skills: Effective communication skills to collaborate with team members and present findings.

ResponsibilitiesDiagnose and resolve software and hardware incidents, requests and coordinate/implement scheduled changes, including operating systems, telecoms and enterprise software applications.  To take ownership of issues by carrying out incident analysis to implement temporary or permanent fixes with the aim of restoring service to the customer as soon as possible; escalating incidents to other support teams where necessary.  To accurately record, update and document incidents and requests in the Service Desk ticketing system.  To maintain a first class level of customer service ensuring that all customers are treated efficiently and in an appropriate and professional manner.  Maintain excellent verbal communication skills with the ability to communicate effectively with technical and non-technical colleagues at all levels in the organization.  To create, maintain and publish relevant support documentation in order to assist all users in the quick resolution of their incidents and service requests and enable users to become more self-sufficient.  Verify IT Asset Management (ITAM) records up to date.  Provide support and management of physical access and general security of the premises where required.  To complete daily/weekly/monthly IT Health Checks for the Local Office.  Proactively notify Business and IT management of any issues as soon as they’re identified and provide regular updates on proposed solutions.  Assist in BCP planning and testing by ensuring IT hardware and facilities are DR ready.  Report to Business and IT Management on a periodic basis on IT issues, progress, initiatives, upcoming hardware/software replacements/upgrades and anything else which may impact Business operations.  Act as general on-site resource for all IT teams supporting the site.  Cross organisational support – remote support for other locations.  Work after hours as required and be available to participate in an on-call schedule.Qualification & Expeirence 1 year of experience in a similar role.  Demonstrated understanding of ITIL and Change Management.  Excellent communication and interpersonal skills – both written and verbal.  Demonstrated analytical and problem management skills.  Experience in ensuring compliance with industry and local government standards. Bachelor's degree or technical qualification prevalent to the position. 

ResponsibilitiesBuild and ship the AI engine: retrieval-augmented generation, context-aware reasoning, evidence citation, and the evaluation harness around it.? Architect production-grade agentic applications using LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration layer.? Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors.? Apply RAG techniques where they actually?help:?vector databases (Pinecone, Chroma, Weaviate, pgvector), hybrid retrieval with ElasticSearch or Solr, BM25 + similarity search, re-ranking.? Maintain vendor-agnostic LLM abstractions so providers can be swapped behind a clean interface as enterprise constraints evolve.? Design prompt and context engineering frameworks that?optimize?accuracy, repeatability, cost, and latency.? Build the backend around it? Build modular backends in Python (FastAPI, async patterns) with comfort dipping into TypeScript/Node.js (Fastify, NestJS, Hono, Express) when the stack calls for it—aligned with clean architecture, OOP, SOLID, and domain-driven design.? Stand up prototype?front-ends?in Next.js, React, and TypeScript to make ideas tangible?quickly knowing?a front-end specialist will own the polished, production surfaces.? Design and ship REST APIs at scale, with OpenAPI/Swagger, webhook patterns, and clean integration boundaries.? Work across relational, document, key-value, and graph stores as the problem demands; use event-driven patterns where they fit, not by default.? Build enterprise integration surfaces: SSO (OAuth 2.0, OIDC, SAML), RBAC, ingestion pipelines from document and content systems, downstream tool connectors.? Implement audit trails, data classification, and change-history patterns where the use case requires them.? Ship, Operate, Harden?Spin up the infra, write the evals, wire the MCP servers, deploy the agents, and harden the bits that survive contact with real users.? Deploy on AWS (or Cloudflare for edge use cases) using containerization (Docker, Kubernetes, ECS, Fargate) or serverless (Lambda)—chosen for fit, not preference.? Own CI/CD end-to-end with GitHub Actions or equivalent; manage infrastructure as code with Terraform or Bicep.? Treat evals as a first-class discipline: hands-on harnesses, golden datasets, regression rubrics—not theoretical frameworks.? Apply engineering practices that hold up in production: TDD, secrets management and rotation, SAST/DAST, structured logging, metrics, tracing.? Use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, Codex) through structured workflows, sub-agents, skills, and templates—with discipline and review.? Qualification & Experience4+ years backend and AI engineering experience, production-grade.? Hands-on LLM integration experience: orchestration, RAG, vector stores, retrieval tuning, prompt versioning, evals.? Hands-on experience with agents, not just prompted models. You have wired tools to a model and let it run multi-step using LangGraph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration.? Strong Python with OOP, SOLID, 12-factor application development, and microservice architecture. You have built FastAPI services and similar.? Comfortable in TypeScript—enough to read it, ship in Node.js when needed, and stand up a Next.js + React prototype to make an idea tangible. You don't need to own polished front-end surfaces.? End-to-end implementation experience with vector databases, retrieval pipelines, and eval harnesses.? Enterprise integration experience: REST APIs at scale, OAuth/SSO, webhook patterns, ingestion from document and content systems.? Cloud-native AWS deployment experience—with Docker, Kubernetes, and GitHub Actions or equivalent. Cloudflare experience a plus.? Active, structured use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) with demonstrable workflows, sub-agents, skills, and templates.? Comfort building for production environments where audit logs, data classification, RBAC, and change history matter.? A deep working understanding of how LLMs behave—and where they break—and how to optimize for accuracy, latency, and cost.? A no-compromise attitude on clean code, TDD, security, observability, scalability, performance, and cost.? A real, recent trail of built things: GitHub, a portfolio, side projects, indie tools, or OSS contributions.? A founder's mindset and genuine appetite for ambiguous, high-impact technical challenges.? Bachelor's or?Master's in Computer Science, Machine Learning, or a related technical discipline.? DevOps depth: end-to-end infrastructure ownership, observability stacks (OpenTelemetry, Application Insights, Datadog), incident response.?Public writing, talks, or threads about building with AI.? MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker).? Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue).? Eval frameworks: Ragas, DeepEval, Promptfoo, LangSmith, or custom harnesses.? Healthcare or life sciences domain exposure.? AWS professional certifications or other relevant industry certifications.

Responsibilities  Act as platform owner for the MDM system, responsible for platform availability, performance and operational excellence.  Lead the deployment, configuration and administration of MDM platform and related components.  Oversee the integration of MDM platform with source and target systems, ensuring reliable data flows and synchronization.  Manage upgrades, patches and technical enhancements of the MDM platform in coordination with vendors and internal teams.  Monitor system health, perform root cause analysis and proactively resolve performance issues.  Develop and maintain technical documentation including architecture diagrams, workflows and operational manuals.  Collaborate closely with relevant stakeholders to ensure technical solutions meet business requirements and compliance standards.  Work with IT Security team to implement security controls, access management and data privacy policies on the platform.  Automate routine operational tasks using scripting to improve efficiency and reduce errors.  Support capacity planning, disaster recovery and backup strategies for Informatica MDM.  Participate in development cycles, coordinating with DevOps for integration related to MDM platform deployments. Qualification & Expeirence Bachelor's degree in Computer Science, Information Technology or related discipline.  Minimum 5 years experience managing or administering Informatica MDM platform in enterprise environments.  Strong expertise with MDM hub, PowerCenter and Informatica Data Quality tools.  Hands on experience with database technologies and data integration techniques,  Solid understanding of ETL processes, data modelling and metadata management.  Experience with monitoring and troubleshooting complex MDM workflows and batch processes.