Machine Learning

About TIFIN:

TIFIN is a cutting-edge fintech platform transforming financial lives through AI and investment intelligence. Backed by industry leaders like JP Morgan and Morningstar, we're dedicated to personalizing wealth experiences, akin to how AI has revolutionized entertainment, but with the critical responsibility of delivering superior financial outcomes. We blend design and behavioral science with investment intelligence to create engaging software and APIs that empower better investor outcomes. Our mission is to recognize each individual's unique needs and goals, matching them to tailored financial advice and investments across our marketplace and various divisions.

Our Values: Go with your GUT

• Grow at the Edge: We embrace personal growth, stepping out of comfort zones, and putting ego aside to unlock genius. We operate with self-awareness and integrity, striving for excellence without excuses.
• Understanding through Listening and Speaking the Truth: Transparency is key. We communicate with radical candor, authenticity, and precision to foster shared understanding. We challenge ideas, but once a decision is made, we commit fully.
• Win for Teamwin: We thrive in our genius zones and take full ownership of our work. We inspire each other with energy and attitude, collaborating seamlessly to achieve collective success.

The Opportunity:

TIFIN is seeking a highly skilled and experienced LLM Engineer to join our innovative, remote-first team. This is a unique opportunity to shape the future of personalized financial experiences by leveraging your expertise in Large Language Models (LLMs) and Generative AI. As an early-stage startup, we're looking for an independent contributor and leader who is ready to build systems from the ground up and own outcomes.

What You'll Do:

• Collaborate closely with design and product teams to craft intuitive and engaging conversational AI experiences for our users.
• Work autonomously to deliver high-quality features, taking full ownership of project outcomes.
• Analyze and leverage our extensive data to create highly personalized experiences.
• Fine-tune LLMs with proprietary data to enhance model performance and relevance for our specific use cases.
• Implement various RAG (Retrieval-Augmented Generation) approaches to augment LLMs with relevant, up-to-date, and domain-specific information.
• Act as both a technical leader and an individual contributor, embodying the startup mentality of doing "whatever it takes" to succeed.
• Design and set up new workflows, systems, and tools from scratch, with support from the wider team.

What You'll Bring:

• 8+ years of professional experience in software engineering or a related field.
• Proven experience working with Large Language Models (LLMs) and Generative AI technologies.
• Demonstrated experience in building and deploying conversational bots.
• Hands-on experience with fine-tuning machine learning models, specifically LLMs.
• Proficiency in utilizing RAG-based approaches for LLM augmentation.
• A strong understanding of financial concepts and investing is a significant plus, though not strictly required.
• Ability to thrive in a fast-paced, startup environment, with a proactive and problem-solving mindset.
• Excellent communication skills and the ability to articulate complex technical concepts clearly.

Our Benefits Package Includes:

• Competitive salary with performance-linked variable compensation.
• Comprehensive medical insurance.
• Tax-saving benefits.
• Flexible Paid Time Off (PTO) policy and company-paid holidays.
• Generous Parental Leave: 6 months paid maternity leave, 2 weeks paid paternity leave.

TIFIN is an equal-opportunity employer, valuing diverse talents and perspectives. We encourage all qualified applicants to apply, regardless of background.

• Strong Software Engineering Profile
• Mandatory (Experience 1): Must have 5+ years of experience using Python to design software solutions.
• Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.
• Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka
• Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure
• Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.
• Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

We are looking for a passionate technologist with experience in building SaaS tech experience and products for a once-in-a-lifetime opportunity to lead Engineering for an AI powered Financial Operations platform to seamlessly monitor, optimize, reconcile and forecast cashflow with ease.

Background

An incredible rare opportunity for a VP Engineering to join a top tier incubated VC SaaS startup and outstanding management team. Product is currently in the build stage with a solid design partners pipeline of ~$250K and soon raising a pre-seed/seed round with marquee investors.

Responsibilities

• Develop and implement the company's technical strategy and roadmap, ensuring that it aligns with the overall business objectives and is scalable, reliable, and secure.

• Manage and optimize the company's technical resources, including staffing, software, hardware, and infrastructure, to ensure that they are being used effectively and efficiently.

• Work with the founding team and other executives to identify opportunities for innovation and new technology solutions, and evaluate the feasibility and impact of these solutions on the business.

• Lead the engineering function in developing and deploying high-quality software products and solutions, ensuring that they meet or exceed customer requirements and industry standards.

• Analyze and evaluate technical data and metrics, identifying areas for improvement and implementing changes to drive efficiency and effectiveness.

• Ensure that the company is in compliance with all legal and regulatory requirements, including data privacy and security regulations.

Eligibility criteria:

• 6+ years of experience in developing scalable SaaS products.

• Strong technical background with 6+ years of experience with a strong focus on SaaS, AI, and finance software.

• Prior experience in leadership roles.

• Entrepreneurial mindset, with a strong desire to innovate and grow a startup from the ground up.

Perks:

• Vested Equity.

• Ownership in the company.

• Build alongside passionate and smart individuals.

Company Name: Intraedge Technologies Ltd (https://intraedge.com/" target="_blank">https://intraedge.com/)

Type: Permanent, Full time

Location: Any

A Bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience

• 4+ years of software development experience
• 4+ years exp in programming languages- Python, spark, Scala, Hadoop, hive
• Demonstrated experience with Agile or other rapid application development methods
• Demonstrated experience with object-oriented design and coding.

• Manage and improve the engineering process continuously and make sure the team delivers the quality code with zero-waste.
• Should provide technical leadership to major projects, but also build and manage a team of 5-8 top-notch engineers.
• Should do sprint planning and run daily stand-ups and deliver 100% hit rate.
• Maintain the legacy code base and reduce tech debt on a continuous basis.
• Able to handle multiple projects and deliver with stringent timelines without compromising the code quality.
• Work with the product team for roadmap planning and delivery as per the plan.
• Conduct sprint planning & sizing, engineering grooming, daily stand-ups, and deliver with zero spillovers.
• Prepare & publish sprint reports to the leadership team and provide visibility to stakeholders.
• Hire and mentor junior/ senior team and make them engineering champions.
• Mentor the engineering team with your technical skills to write scalable, generic, reusable code.
• Develop and Coach engineers on the team, share engineering pointers, conduct regular 1-1s with the team, and help them advance in their careers.

Requirements

• Having work experience in a Product organization with 7 -10 yrs also in leading a cross-functional engineering team that includes API Development and Backend & Middleware development.
• Should have experience in the continuous delivery process. Ship new features and improvising the code base continuously.
• Should have involved in setting up engineering process.
• Must have experience in microservices and distributed patterns.
• Must have worked on high traffic and throughput application.
• Must have prior experience in handling mid to large-size projects.
• Must have worked on high traffic and throughput application.
• Should have managed and lead the engineering team of Web App and Backend development teams.
• Must-Have Experience in Python programming & Postgressql/ Nosql (MongoDB as a data store.
• Must have experience in modern back-end tech stacks (Django, Postgress, NoSQL) and cloud design & deployment patterns.
• Must be conversant with AWS, Docker/Kubernetes
• Should be good with design patterns and integration patterns.
• Should have knowledge/ experience in concurrent programming & distributed locks.
• Requires solid understanding of technologies and architecture in a highly scalable and available set-up.
• Should have handled multiple epics, themes, and experience of delivering high-quality projects on time.
• Should have managed end to end development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations