Natural Language Processing Engineer

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Company: Amura Health

Location: Velachery, Chennai

Work Model: 6 Days Work From Office (Mandatory)

About Amura Health:

Amura Health is building a transformative health platform focused on improving human potential through better health outcomes. The company believes that healthier bodies lead to healthier brains, enabling people to solve more complex problems, contribute meaningfully to society, and create a better future.

The organization is building next-generation healthcare technology products and platforms that aim to redefine the way medicine is practiced globally. With a strong focus on innovation, scale, and impact, Amura Health operates in a fast-paced, high-ownership environment where engineers work on meaningful and technically challenging problems.

Role Overview

We are looking for a highly skilled Senior Backend Engineer with strong expertise in Node.js and distributed backend systems. The ideal candidate should have experience building scalable APIs, microservices, and backend infrastructure capable of handling high-performance workloads.

This role requires end-to-end ownership of backend modules, including architecture, development, testing, deployment, optimization, and production support. The candidate will collaborate closely with engineering, DevOps, and product teams to build reliable and scalable systems.

Key Responsibilities

Develop scalable backend services, APIs, and microservices using Node.js frameworks such as Express.js and NestJS.

Own backend modules end-to-end from design and implementation to testing and deployment.

Write clean, maintainable, reusable, and high-quality production-grade code.

Optimize application performance, scalability, reliability, and system efficiency.

Troubleshoot production issues, perform root cause analysis (RCA), and improve platform stability.

Work with relational and NoSQL databases for scalable data management.

Implement caching solutions using Redis and optimize API response times.

Work with queues and asynchronous processing systems such as Kafka, RabbitMQ, or Amazon SQS.

Collaborate with DevOps teams for CI/CD pipelines, deployment automation, and infrastructure improvements.

Participate in system design discussions and architectural decision-making.

Contribute to engineering best practices, documentation, and code review processes.

Work effectively in a fast-paced startup environment with high ownership and accountability.

Required Skills & Technical Expertise

Strong expertise in Node.js and backend development.

Hands-on experience with TypeScript, Express.js, and NestJS.

Strong understanding of asynchronous programming and event-driven systems.

Experience designing and consuming REST APIs.

Strong knowledge of microservices architecture and distributed systems.

Experience with SQL databases such as PostgreSQL and MySQL.

Experience with NoSQL databases such as MongoDB, DynamoDB, and Redis.

Knowledge of caching strategies and performance optimization.

Hands-on experience with messaging systems such as Kafka, RabbitMQ, or SQS.

Understanding of Docker, Git, and CI/CD pipelines.

Exposure to AWS cloud infrastructure and deployment environments.

Strong debugging, monitoring, and performance tuning skills.

Knowledge of scalable backend architecture and system reliability.

Eligibility Criteria

4 to 7 years of hands-on backend development experience.

Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline.

Candidates from strong product engineering backgrounds will be preferred.

Experience working in fast-paced startup or high-growth product environments is preferred.

Strong communication, ownership, and problem-solving abilities are essential.

Must be comfortable working from office 6 days a week in Velachery, Chennai.

Ideal Candidate Profile

The ideal candidate is a strong backend engineer who has experience building scalable systems in product-driven environments. They should be comfortable taking ownership of backend services, solving complex engineering challenges, debugging production issues, and collaborating across teams.

The candidate should possess a startup mindset, demonstrate accountability, move quickly, and contribute proactively to engineering excellence.

Work Environment & Expectations

Work from Office model with mandatory in-office presence.

6 working days per week from the Velachery, Chennai office.

High ownership and accountability-driven engineering culture.

Collaborative and fast-paced startup environment.

Candidates should be comfortable working on high-impact systems and solving challenging technical problems.

Company Website

https://amura.ai

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.