Applied AI Engineer
Application Form
Applied AI Engineer Application Form
Role: Applied AI Engineer
Industry: Fintech, AI
Location: Bangalore
Type: Full-time
Experience: 2-3 years
About the company:
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview:
As a AI/ML Engineer you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML expertise you would lead the AI charter end-to-end.
Role Overview:
We are seeking an AI Application Developer with 2+ years of experience to help build next-generation AI-powered applications. In this role, you'll be working on developing and optimizing AI solutions that automate key data and business processes, enabling businesses to operate faster and more efficiently. You will collaborate closely with our engineering team to design and deploy intelligent systems that transform complex workflows.
Key Responsibilities:
- Design, develop, and maintain AI-powered applications that enhance data transformation and processing efficiency
- Build intelligent agents to automate workflows, including data extraction, decision-making, and task automation.
- Develop and optimize machine learning models and algorithms for real-time data analysis and decision-making.
- Continuously improve the performance, reliability, and scalability of AI systems.
- Stay at the forefront of AI and machine learning innovations, applying the latest techniques to drive product evolution.
Requirements:
- 2+ years of hands-on experience in AI application development, with a focus on machine learning, GenAI, or data automation.
- Proven experience building multi-agent AI applications, fine-tuning Large Language Models (LLMs) and optimization; experience in developing custom LLMs is a plus
- Proficient in Python, with hands-on experience of using frameworks such as PyTorch, Pandas, FastAPI, AutoGen and LangChain.
- Familiarity with cloud-based platforms such AWS or Azure as well as containerization technologies such as Docker and Kubernetes.
- Expertise in AI application techniques such as Retrieval-augmented generation (RAG), MCP/tools building, model grounding, and implementing guardrails to ensure reliable, efficient, and safe AI performance.
- Solid understanding of data processing frameworks, ETL processes, and tools (e.g., Apache Spark, Kafka, or similar)
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Nice-to-Haves:
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Contributions to open-source AI/ML projects
What We Offer
- High ownership: Build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: Influence architecture, shape the roadmap, and grow into leadership roles.
- Work with a founding team of repeat entrepreneurs & tech leaders, backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with 3 days in-office per week.
Role: Applied AI Engineer
Function: Engineering – AI/ML
Experience: 2-5 years
Industry: FinTech, AI
Location: Bangalore (Hybrid)
Compensation: 20-25L + Esops
Type: Full-time
About the company
The company is an venture-backed, AI-first fin-tech product company redefining how high-volume businesses run their finance operations.
Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system and AI agents that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results.
Position Overview
You join the founding engineering team to build high-performance GenAI capabilities that power reconciliation, document understanding, financial classification, and payment-behavior intelligence for enterprise finance teams. You own the AI charter end-to-end, turning cutting-edge research into production systems that transform how businesses run finance operations.
Role & Responsibilities
- You will design, develop, and maintain AI-powered applications that boost data transformation and processing efficiency.
- You will build intelligent agents that automate workflows such as data extraction, decision-making, and task execution.
- You will develop and optimize machine-learning models and algorithms for real-time analysis and decision-making.
- You will improve performance, reliability, and scalability of AI systems through continuous experimentation and tuning.
- You will track emerging AI research and quickly apply relevant techniques to keep the product ahead of the curve.
Must have Criteria
- 2-5 years of hands-on experience in AI, machine learning, or GenAI
- Proven ability to build multi-agent AI applications and fine-tune Large Language Models; experience developing custom LLMs is a plus.
- Strong GenAI and backend-engineering skills using Python frameworks such as PyTorch, Pandas, FastAPI, AutoGen, and LangChain.
- Expertise in techniques like retrieval-augmented generation (RAG), tool/agent chaining, model grounding, and guardrail implementation.
- Solid grasp of data-processing frameworks, ETL pipelines, and tools such as Apache Spark or Kafka.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Nice to Have
- Ability to deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and integrations.
- Knowledge of chunking strategies, prompt templates, and hybrid search in RAG systems.
- Experience in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, accounting, or compliance.
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Contributions to open-source AI/ML projects.
- Familiarity with cloud platforms (AWS or Azure) and container technologies (Docker, Kubernetes).
What We Offer
- High ownership: you build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: you influence architecture, shape the roadmap, and grow into leadership roles.
- Chance to work with a founding team of repeat entrepreneurs and tech leaders backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with three in-office days per week.
Apply Now
Share your details below to apply for this job.
Job Description
Role: Applied AI Engineer
Industry: Fintech, AI
Location: Bangalore
Type: Full-time
Experience: 2-3 years
About the company:
The company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results
Position Overview:
As a AI/ML Engineer you will be part of the founding engineering team to build high-performance, AI/GenAI capabilities that power reconciliation, document understanding, financial classification, and payment behavior intelligence for enterprise finance teams.
With deep GenAI and Applied ML expertise you would lead the AI charter end-to-end.
Role Overview:
We are seeking an AI Application Developer with 2+ years of experience to help build next-generation AI-powered applications. In this role, you'll be working on developing and optimizing AI solutions that automate key data and business processes, enabling businesses to operate faster and more efficiently. You will collaborate closely with our engineering team to design and deploy intelligent systems that transform complex workflows.
Key Responsibilities:
- Design, develop, and maintain AI-powered applications that enhance data transformation and processing efficiency
- Build intelligent agents to automate workflows, including data extraction, decision-making, and task automation.
- Develop and optimize machine learning models and algorithms for real-time data analysis and decision-making.
- Continuously improve the performance, reliability, and scalability of AI systems.
- Stay at the forefront of AI and machine learning innovations, applying the latest techniques to drive product evolution.
Requirements:
- 2+ years of hands-on experience in AI application development, with a focus on machine learning, GenAI, or data automation.
- Proven experience building multi-agent AI applications, fine-tuning Large Language Models (LLMs) and optimization; experience in developing custom LLMs is a plus
- Proficient in Python, with hands-on experience of using frameworks such as PyTorch, Pandas, FastAPI, AutoGen and LangChain.
- Familiarity with cloud-based platforms such AWS or Azure as well as containerization technologies such as Docker and Kubernetes.
- Expertise in AI application techniques such as Retrieval-augmented generation (RAG), MCP/tools building, model grounding, and implementing guardrails to ensure reliable, efficient, and safe AI performance.
- Solid understanding of data processing frameworks, ETL processes, and tools (e.g., Apache Spark, Kafka, or similar)
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Nice-to-Haves:
- Deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and external integrations.
- Familiarity with chunking strategies, prompt templates, and hybrid search (semantic + keyword) in RAG systems.
- Experience with enterprise SaaS or fintech domains (banking, reconciliation, ERP, accounting, compliance etc.)
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Contributions to open-source AI/ML projects
What We Offer
- High ownership: Build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: Influence architecture, shape the roadmap, and grow into leadership roles.
- Work with a founding team of repeat entrepreneurs & tech leaders, backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with 3 days in-office per week.
Role: Applied AI Engineer
Function: Engineering – AI/ML
Experience: 2-5 years
Industry: FinTech, AI
Location: Bangalore (Hybrid)
Compensation: 20-25L + Esops
Type: Full-time
About the company
The company is an venture-backed, AI-first fin-tech product company redefining how high-volume businesses run their finance operations.
Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system and AI agents that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time results.
Position Overview
You join the founding engineering team to build high-performance GenAI capabilities that power reconciliation, document understanding, financial classification, and payment-behavior intelligence for enterprise finance teams. You own the AI charter end-to-end, turning cutting-edge research into production systems that transform how businesses run finance operations.
Role & Responsibilities
- You will design, develop, and maintain AI-powered applications that boost data transformation and processing efficiency.
- You will build intelligent agents that automate workflows such as data extraction, decision-making, and task execution.
- You will develop and optimize machine-learning models and algorithms for real-time analysis and decision-making.
- You will improve performance, reliability, and scalability of AI systems through continuous experimentation and tuning.
- You will track emerging AI research and quickly apply relevant techniques to keep the product ahead of the curve.
Must have Criteria
- 2-5 years of hands-on experience in AI, machine learning, or GenAI
- Proven ability to build multi-agent AI applications and fine-tune Large Language Models; experience developing custom LLMs is a plus.
- Strong GenAI and backend-engineering skills using Python frameworks such as PyTorch, Pandas, FastAPI, AutoGen, and LangChain.
- Expertise in techniques like retrieval-augmented generation (RAG), tool/agent chaining, model grounding, and guardrail implementation.
- Solid grasp of data-processing frameworks, ETL pipelines, and tools such as Apache Spark or Kafka.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.
Nice to Have
- Ability to deploy reliable inference and data APIs (REST; GraphQL optional) for ML/LLM features and integrations.
- Knowledge of chunking strategies, prompt templates, and hybrid search in RAG systems.
- Experience in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, accounting, or compliance.
- Familiarity with observability, retries, drift detection, automated retraining, and rollback/version control.
- Contributions to open-source AI/ML projects.
- Familiarity with cloud platforms (AWS or Azure) and container technologies (Docker, Kubernetes).
What We Offer
- High ownership: you build core AI/ML systems from the ground up alongside the CTO.
- Career velocity: you influence architecture, shape the roadmap, and grow into leadership roles.
- Chance to work with a founding team of repeat entrepreneurs and tech leaders backed by top-tier VCs.
- Competitive salary and meaningful ESOPs.
- Flexible work culture with three in-office days per week.
Apply Now
Share your details below to apply for this job.
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