Infis AI | Full Stack Engineer | jaipur

4 weeks ago


Jaipur, India Infis AI Full time
Company DescriptionInfis AI enables businesses to achieve operational excellence with AI-powered visibility and seamless data integration. By connecting diverse systems like ERP, CRM, and QMS, our platform transforms raw data into actionable insights, helping organizations optimize workflows, identify bottlenecks, and make data-driven decisions in real time. AppShip empowers teams with tailored views and proactive alerts, ensuring compliance, efficiency, and scalability across departments and regions.

Note : This position will be with

AppShip India Pvt Ltd , a wholly-owned subsidiary of

AppShip Inc.

As part of the AppShip family, you will contribute to the development of technology under the Infis.ai brand while collaborating with teams across geographies. AppShip India Pvt Ltd serves as a vital extension of our operations, driving innovation and excellence for our products.

Role DescriptionThis is a full-time remote role for a Full Stack Engineer at Infis AI. The Full Stack Engineer will be responsible for core applications development, primarily involving the following skills:Web App DevelopmentData Integration and ETL PipelinesAI/ML AlgorithmsAdvanced Data Structures and Algorithms

As a key member of our engineering team, you will contribute to the development of our flagship Infis Platform. Your work will span multiple aspects of our technology stack, from implementing sophisticated algorithms to designing intuitive user experiences and optimizing backend performance.

Key Responsibilities

Software Development:Design, develop, and maintain scalable backend services using languages like

Python ,

Node.js , or similar.Build responsive and intuitive frontend applications using frameworks like

React

or

Angular .Implement distributed system architectures inspired by frameworks like

MapReduce .

Data Structures & Algorithms:Develop and manage robust data pipelines, integrations, and ETL processes.Develop heuristic methods and dynamic self-balancing data structures (e.g.,

AVL trees ) using graph databases like

Neo4j

or

Amazon Neptune .Work with

Directed Acyclic Graphs (DAGs)

and

polytree structures .Utilize real-time data processing frameworks like

Apache Kafka

or

Spark Streaming .

AI/ML Implementation:Employ

Large Language Models (LLMs)

to parse organizational documents and define entities.Implement algorithms such as

Density-Based Spatial Clustering (DBSCAN) ,

Principal Component Analysis (PCA) ,

t-SNE , and community detection algorithms.Develop and deploy machine learning models using libraries such as

TensorFlow ,

PyTorch , or

scikit-learn .

Cross-Functional Collaboration:Work closely with cross-disciplinary teams including product management, design, and operations.Participate in code reviews, brainstorming sessions, and contribute building the best practices.

QualificationsBachelor's or Master's degree

in Computer Science, Engineering, or a related field.Minimum of 3 years of experience

in software development with a track record of delivering high-quality projects.Proficiency in both

backend and frontend technologies

for developing

Web Applications .Strong understanding of

data integration tools

and building

ETL pipelines .Experience with

AI/ML algorithms

and frameworks.Familiarity with advanced algorithms and data structures, including

MapReduce framework, Large Language Models (LLMs),

Clustering algorithms ( DBSCAN ), Dimensionality reduction techniques ( PCA ,

t-SNE ), Community detection algorithms ( Louvain ,

Girvan-Newman ), Graph theory and algorithms ( DAGs ,

polytree structures ,

Hamiltonian paths ), Centrality measures, and similarity algorithms.Experience with

graph databases

( Neo4j ,

Amazon Neptune ).Familiarity with cloud platforms such as

AWS ,

Azure , or

Google Cloud .Experience in Combinatorial Optimization is a plus.Excellent problem-solving skills and the ability to adapt to new challenges.Self-motivated and comfortable working in a fast-paced startup environment.Strong communication skills and a collaborative mindset.



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