Data Scientist

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Job Description: 

Ideal experience required – 6-8 years

• Mandatory hands-on experience in .Net Core (8)
• Mandatory hands-on experience in Angular (10+ version required)
• Azure and Microservice Architecture experience is good to have.
• No database or domain constraint

Skills:

• 7 to 10 years of working experience in managing .net projects closely with internal and external clients in structured contexts in an international environment.
• Strong knowledge of .Net Core, .NET MVC, C#, SQL Server & JavaScript
• Working experience in Angular
• Familiar with various design and architectural patterns
• Should be familiar with Git source code management for code repository.
• Should be able to write clean, readable, and easily maintainable code.
• Understanding of fundamental design principles for building a scalable application
• Experience in implementing automated testing platforms and unit test. 

Nice to have:

• AWS
• Elastic Search
• Mongo DB

Responsibilities:

• Should be able to handle modules/project independently with minor supervision.
• Should be good in troubleshooting and problem-solving skills.
• Should be able to take complete ownership of modules and projects.
• Should be able to communicate and coordinate with multiple teams.
• Must have good verbal & written communication skill.

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

CITRIOT – Job Description for Tech Lead

Responsibilities:

• Determining project requirements and developing work schedules for the team that will be working in a hybrid environment (remote-in person).
• Delegating tasks and achieving daily, weekly, and monthly goals.
• Liaising with team members and managing time effectively to ensure projects are completed to standard in a time-constrained environment of our startup Citriot.
• Identifying risks and forming contingency plans as soon as possible. Be able to update work schedules and performing troubleshooting as required. Example: coming up with an alternative hardware platform or a software tech stack very quickly if one fails or is unable to deliver results, and ensuring that the team is capable of delivering the results.
• Analyzing existing operations and being a mentor towards the interns. Being empathetic towards the employees and resonating well with their level of knowledge and skills; while at the same time encouraging them to achieve more.
• Keeping up-to-date with industry trends and developments (very important).
• Being transparent with the team about challenges, failures, and successes.
• Writing progress reports and delivering presentations to the relevant stakeholders (not required very often, but an important responsibility).

Qualifications:

• Bachelor’s degree in computer science, engineering, or a related field (preferably CS or ECE). The candidate we’re looking for should have a research mindset and can complete projects in strict “startup-friendly” deadlines.
• Experience with Scrum/agile development methodologies.
• 2-5 years experience as a software engineer, firmware engineer or a hardware engineer in lead positions who is familiar with the following software/tools:
  • Experience & expertise in one or more programming languages: Python, JavaScript and C++
  • Experience programming microcontrollers in Embedded C or MicroPython
  • Experience with two or more of the following prototyping environments: Arduino (boards and IDE), Raspberry Pi (headless setup, GPIO programming), Nvidia Jetson/TX1/TX2 boards with setup
  • Strong conceptual knowledge on networking topologies, communication technologies and interfacing protocols (SPI, I2C, CAN, etc.)
  • Have worked on a PCB design project at least once in their career/university
  • Have experience programming embedded boards from either Microchip or STM32 (let us know if you have experience with any others as well)
• Experience in a similar role would be advantageous.
• Excellent technical, diagnostic, and troubleshooting skills.
• Strong leadership and organizational abilities.
• Willingness to build professional relationships with staff and clients.
• Excellent communication, motivational, and interpersonal skills.

If you are interested in the role, we request you to kindly attach a pdf/word file along with your resume(and/or cover letter) mentioning how well you would fit in our company based on the above points.

• 5+ years of software development or site reliability engineering or equivalent experience
• Skilled at problem solving, algorithms, and data structures
• Building tools and scripting frameworks from scratch
• Working with Cloud Automation tools like CloudFormation, Terraform, CDK, aws-cli
• Scripting languages like Python, Groovy, PowerShell, Bash, Perl etc.
• Configuration automation using Ansible or equivalent tools
• Exposure to Windows, Linux administration skills
• Project management tools like Jira, Trello
• Prior experience in dealing with Datastore technologies like Postgres, MySQL, SQL, DynamoDB is desirable
• Familiarity with basic networking, security and cloud engineering concepts
• Team player who is eager to help others to succeed through mentoring and leading by example
• Highly collaborative with effective written and verbal communication skills