
Job Title: AI Engineer
Location: Bengaluru
Experience: 3 Years
Working Days: 5 Days
About the Role
We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.
As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:
- Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
- Build and integrate GenAI agents.
- Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.
Key Responsibilities
- Build and optimize ML/DL models for document understanding, classification, and summarization.
- Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
- Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
- Package and deploy models as REST APIs or microservices in production environments.
- Collaborate with engineering teams to integrate models into existing products and workflows.
- Continuously monitor and retrain models to ensure reliability and performance.
- Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.
Required Skills & Experience
- 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
- Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
- Solid understanding of transformers, embeddings, and NLP pipelines.
- Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
- Exposure to OCR, document parsing, and unstructured text analytics.
- Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
- Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
- Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
- Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

About NeoGenCode Technologies Pvt Ltd
About
Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.
Candid answers by the company
IT & Engineering Talent Staffing
- Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
- Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
- Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.
2. End-to-End Project Delivery
- Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
- Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .
3. Additional Offerings
- Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
- Provides strategic IT consulting to align technology solutions with business objectives
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- Design and implement connectors to third-party systems (APIs, CRMs, marketing tools) to source and unify data.
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BeyondScale is a technology company on a mission to democratise AI for small and medium-sized businesses (SMBs). We're building Sitara, an AI-powered ERP suite that is a suite of micro-apps designed specifically for the service sector. Imagine a pocket CRM, a pocket POS, and a suite of essential tools—all streamlined for simplicity and powered by intelligent automation.
The Opportunity:
We're looking for a passionate Python Developer to join our growing team and play a key role in shaping the future of AI-powered ERP. You'll be instrumental in building Sitara, a product poised to disrupt a massive market with high growth potential.
What You'll Do:
- Design, develop, and maintain efficient, reusable, and reliable Python code for our AI-powered ERP platform.
- Develop and integrate web APIs and interact with SQL databases (NoSQL experience a plus).
- Implement automation using object-oriented programming (OOP) principles, multiprocessing, and threading.
- Write clean, well-documented code and actively participate in testing and debugging.
- Leverage Git and modern development workflow practices to ensure a smooth development cycle.
- While not required, familiarity with generative AI concepts (LLMs, RAG) is a plus.
You're a Great Fit If You:
- Have 1+ years of relevant job experience working with Python
- Possess a strong foundation in computer science fundamentals.
- Are a team player with a collaborative spirit and a positive attitude.
- Enjoy learning new technologies and are eager to push boundaries.
- Have excellent communication skills, including the ability to effectively say no when needed.
- Programming Language: Python (Strong knowledge)
- Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
- Memory Management: Reference Counting, Global Interpreter Lock (GIL)
- Distributed Computing: Dask, Apache Spark (Preferred)
- Data Processing: NumPy
- Inter-Service Communication: GRPC, REST API
- Containerization & Orchestration: Docker, Kubernetes
- Software Development Practices: Code Optimization, Debugging, Performance Tuning
- Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed
Skills And Expertise
- Python,
- Multithreading,
- Multiprocessing,
- Dask, Apache Spark,
- NumPy,
- REST API,
- Docker,
- Kubernetes,
- Code Optimization
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 2+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases.
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Requests, sklearn, Selenium
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good Humor
Key Skills Required :
- Proficiency in Python 3.x based web and backend development
- Solid understanding of Python concepts
- Strong experience in building web applications using Django
- Experience building REST APIs using DRF or Flask
- Experience with some form of Machine Learning (ML)
- Experience in using libraries such as Numpy and Pandas
- Hands on experience with RDBMS such as Postgres or MySQL including querying
- Comfort with Git repositories, branching and deployment using Git
- Working experience with Docker
- Basic working knowledge of ReactJs
- Experience in deploying Django applications to AWS,Digital Ocean or Heroku
Responsibilities :
- Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
- Building high quality code using coding standards based on the SRS/Documentation
- Building component based, maintainable, scalable and reusable backend libraries/modules.
- Building & documenting scalable APIs on the Open Spec standard
- Unit testing development modules and APIs
- Conducting code reviews to ensure that the highest quality standard are maintained
- Securing backend applications and APIs using industry best practices
- Troubleshooting issues and fixing bugs raised by the QA team efficiently.
- Optimizing code
- Building and deploying the applications
- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system








