Java NLP Engineer

Job Title : Data Scientist – NLP & LLM

Experience Required : 4 to 5+ Years

Location : Gurugram

Notice Period : Immediate Joiner Preferred

Employment Type : Full-Time

Job Summary :

We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.

Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python

Key Responsibilities :

• Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
• Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
• Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
• Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
• Perform data preprocessing, feature extraction, and training pipeline development.
• Evaluate model performance and iterate with scalable solutions.
• Collaborate with engineering and product teams to integrate models into production.

Required Skills :

• 4 to 5+ years of hands-on experience in Data Science and NLP.
• Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
• Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
• Familiarity with prompt engineering and fine-tuning LLMs is a plus.
• Excellent problem-solving and communication skills.

Job Description: Senior Java/Python Developer (AI & GenAI Specialist)

Location

Position Summary

We are seeking an experienced Senior Java/Python Developer with strong expertise in enterprise application development and extensive hands-on experience in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and AI-powered application development. The ideal candidate will lead the design, development, and deployment of scalable, intelligent solutions that integrate modern AI technologies with enterprise-grade Java and Python ecosystems.

This role requires a combination of strong software engineering skills, AI innovation capabilities, and architectural leadership.

Key Responsibilities

• Application Development

• Design, develop, and maintain scalable enterprise applications using Java and Python.

• Develop RESTful APIs, microservices, and event-driven architectures.

• Build high-performance backend systems using Spring Boot, FastAPI, Flask, or Django.

• Ensure code quality through unit testing, integration testing, and code reviews.

AI & Generative AI Development

• Design and implement AI-powered solutions leveraging Large Language Models (LLMs).

• Develop intelligent applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and similar platforms.

• Build Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.

• Implement AI agents, copilots, chatbots, virtual assistants, and workflow automation solutions.

• Engineer prompts and build prompt orchestration frameworks.

• Develop multi-agent AI systems and autonomous AI workflows.

Required Technical Skills

Core Programming

• Expert-level proficiency in:

o Java (Java 11/17/21)

o Python 3.x

• Strong understanding of OOP, design patterns, and software engineering principles.

Java Technologies

• Spring Boot

• Spring Cloud

• Hibernate/JPA

• Microservices Architecture

• Kafka/RabbitMQ

• REST API Development

Python Technologies

• FastAPI

• Flask

• Django

• Pandas

• NumPy

• Async Programming

Generative AI & LLMs

• OpenAI APIs

• Azure OpenAI

• LangChain

• LangGraph

• LlamaIndex

• Semantic Kernel

• Hugging Face

• Prompt Engineering

• RAG Frameworks

• AI Agent Frameworks

• Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)

Preferred Qualifications

• Experience developing enterprise AI copilots and intelligent assistants.

• Experience implementing AI solutions using Microsoft Copilot Studio, Azure AI Services, or similar platforms.

• Knowledge of AI governance, responsible AI, security, and compliance frameworks.

• Experience in travel, finance, telecom, retail, or large enterprise environments.

• Exposure to graph databases and knowledge graphs.

• Understanding of multimodal AI (text, image, audio, video).

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

• Generative AI certifications preferred.

Key Competencies

• Solution Architecture

• AI Innovation & Thought Leadership

• Problem Solving

• Stakeholder Management

• Technical Mentoring

• Agile Development

• Analytical Thinking

• Communication & Presentation Skills

Success Metrics

• Delivery of scalable AI-enabled enterprise solutions.

• Reduction in operational effort through AI automation.

• Successful deployment of GenAI applications into production.

• Application performance, reliability, and security.

• Adoption of AI best practices across development teams.

Hiring AI Engineer

Exp : 5 - 8 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune WFO

Skills :

Min 4 years strong programming experience in Python is a MUST.

Min 2 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks

RAG with deep retrieval experience (most important):

Owned a RAG system end to end in production, not a demo.

Has built an MCP server or client, or built agents using LangGraph/Semantic Kernel (tool calling, multi-step workflows).

ou will work closely with AI engineers, product teams, and domain experts to build intelligent document processing and knowledge automation solutions. Responsibilities include:

• Develop AI-powered document ingestion and processing pipelines.
• Build knowledge extraction engines using NLP, Machine Learning, and Generative AI.
• Develop document-to-knowledge compilers that transform PDFs, Word documents, policies, regulations, and manuals into structured knowledge.
• Build AI agents and Agentic AI workflows for enterprise automation.
• Develop rule extraction and rule generation frameworks from business documents.
• Create semantic search and enterprise knowledge retrieval solutions.
• Develop backend APIs and AI services using Python.
• Design and optimize document processing pipelines for scalability and performance.
• Build and maintain MySQL databases for knowledge repositories and AI applications.
• Integrate LLMs from providers such as OpenAI, Azure OpenAI, Gemini, Claude, and open-source ecosystems.
• Collaborate with cross-functional teams to design scalable AI architectures.
• Participate in code reviews and follow software engineering best practices.
• Continuously evaluate and adopt emerging AI and GenAI technologies.

REQUIRED SKILLS — PROGRAMMING & DEVELOPMENT

• Strong proficiency in Python and a solid understanding of Object-Oriented Programming (OOP).
• Experience building REST APIs and backend services.
• Experience working with JSON, XML, and structured data formats.
• Knowledge of software design patterns and scalable architecture.
• Strong debugging, analytical, and problem-solving skills.

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

• Strong understanding of Machine Learning concepts and algorithms.
• Experience with Natural Language Processing (NLP) and Generative AI solutions.
• Hands-on experience with Large Language Models (LLMs).
• Understanding of prompt engineering techniques.
• Knowledge of Agentic AI concepts and AI agent architectures.
• Experience developing AI-powered applications and workflows.

TECHNOLOGY STACK

AI & GenAI: Python · OpenAI · Azure OpenAI · Hugging Face · Agentic AI Frameworks · LLMs · NLP · Machine Learning

Knowledge Systems: ChromaDB · Pinecone · FAISS · Vector Databases · Semantic Search

Document Processing: Docling · OCR · PDF Processing · Apache Tika · Document Intelligence

Backend: Python · FastAPI · Flask · REST APIs

Database: MySQL

Tools & Technologies: Git · Docker · JSON · CI/CD · Azure / AWS / GCP

Role: Developer – Java GenAI

Location: Hyderabad / Bangalore

Work Mode: Hybrid

Experience: Relevant experience in Java, GenAI and Microservices

Notice Period: Immediate to 15th October Joiners

Key Skills: Java, Spring Boot, Microservices, Kafka, LLM, RAG, Vector Databases, LangChain/LangGraph, Spring AI, PL/SQL, GCP/AWS, JMS, DevOps, CI/CD, JUnit, Mockito, Oracle/RDBMS, Redis/NoSQL.

Good to Have: Azure, Docker, Kubernetes/PaaS, Python, GitHub Copilot.

Strong understanding of Agile/Scrum with excellent communication, teamwork, organization and problem-solving skills.

AI Engineer

Experience: 2–4 Years

Employment Type: Full-Time

Work Mode: Coimbatore / Hybrid

About Techjays

Techjays is an AI Reimagination Company focused on building intelligent, scalable, and impactful software solutions. We help businesses solve complex challenges through AI, automation, and modern software engineering.

We are looking for an AI Engineer who is passionate about building AI-powered applications and integrating modern AI technologies into real-world products.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using Python and modern AI frameworks.
• Build and implement LLM-based applications, including Retrieval-Augmented Generation (RAG) systems.
• Work with LLM APIs such as OpenAI, Gemini, and Anthropic.
• Develop AI agents and workflows using frameworks such as LangChain and LangGraph.
• Integrate vector databases and implement efficient embedding and semantic search solutions.
• Develop scalable backend services and REST APIs.
• Work with databases, data processing pipelines, and cloud-based services.
• Collaborate with frontend and backend teams to integrate AI capabilities into applications.
• Evaluate AI model performance, improve response accuracy, and optimize application performance.
• Debug, test, and maintain production-grade AI applications.

Required Skills

• 2–4 years of experience in software development, AI engineering, or a related field.
• Strong programming knowledge in Python.
• Hands-on experience with LLMs and Generative AI applications.
• Understanding of RAG architecture, embeddings, and semantic search.
• Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.
• Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Qdrant.
• Experience in building REST APIs using FastAPI or Flask.
• Good understanding of SQL and NoSQL databases.
• Familiarity with Git, Docker, and basic cloud services.
• Strong problem-solving and analytical skills.

Good to Have

• Experience building AI agents and multi-agent systems.
• Knowledge of React or other frontend frameworks.
• Exposure to AWS, Azure, or GCP.
• Understanding of model evaluation, prompt engineering, and fine-tuning.
• Experience deploying AI applications in production environments.

What We’re Looking For

• Someone who enjoys solving real-world problems using AI.
• Ability to take ownership of tasks and deliver solutions independently.
• Strong learning mindset and willingness to explore emerging AI technologies.
• Good communication and collaboration skills.

Job Description: Senior Full Stack AI Engineer 

Position: Senior Full Stack AI Engineer ​

Experience: 6+ Years​

Location: Bangalore (preferred), Hyderabad​

Joining: Immediate 

About the Role 

We are looking for highly skilled Senior Full Stack AI Engineers who can independently 

design, build, and deploy AI-powered applications leveraging Large Language Models 

(LLMs). The ideal candidate should be equally comfortable working across the full stack, 

from developing scalable backend services and modern frontend applications to creating AI-

driven solutions and automated testing frameworks that enable developer-led quality 

engineering. 

This role requires hands-on expertise in LLM development, application architecture, and test 

automation, effectively helping organizations accelerate delivery while reducing dependency 

on traditional QA teams. 

Key Responsibilities 

∙Design, develop, and deploy AI-powered applications using Large Language Models 

(LLMs), with experience in Claude preferred. 

∙Architect and build scalable full stack applications using Java, Spring Boot, 

ReactJS, NextJS, TypeScript, and JavaScript. 

∙Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-

augmented generation (RAG), and model integrations. 

∙Create end-to-end automated test suites using Playwright, Perfecto, and other 

modern automation frameworks to support developer-led testing. 

∙Build and integrate RESTful APIs and microservices following modern architecture 

principles. 

∙Design and manage data solutions using SQL, NoSQL, and MongoDB. 

∙Develop event-driven applications using messaging platforms such as Kafka. 

∙Implement secure, scalable, and high-performance solutions using Spring Security, 

OAuth, and multi-threaded programming. 

∙Leverage AWS services including ECS, Lambda, and Step Functions to build cloud-

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Location -Bangalore

Work Mode -Fully in-office, 6 days a week

Experience -3+ years in AI engineering, with LLM-based systems shipped to production

About the Role

● The AI Engineer will own systems that read, search and reason over project and tender documents.

● Inputs include large tender packages, scanned PDFs, BOQs, tables, forms and engineering drawings such as P&IDs.; Outputs should include accurate answers with source references, structured data and workflows used by estimators and project teams in live bids, planning, procurement and execution.

● The role covers taking features from initial experiments to production and owning their accuracy, latency and cost after release.

Key Responsibilities

Agents and Retrieval

● Build AI agents that plan and execute multi-step tasks using document search, tools and APIs.

● Build RAG pipelines covering ingestion, retrieval, reranking and answers with source references.

● Use agent workflows within retrieval to refine searches, collect supporting evidence and verify outputs.

Document Intelligence

● Build extraction pipelines for PDFs, scanned documents, tables and forms.

● Convert unstructured tender content into structured data that the platform can use.

Vision and Image Understanding

● Build image-understanding workflows for P&IDs;, including symbols, equipment, labels and connections.

● Locate and remove selected elements from diagram images while preserving surrounding content.

Quality and Reliability

● Create evaluation datasets and automated checks to measure accuracy and catch regressions.

● Debug failures across retrieval, agent decisions, tool calls and model outputs.

Product and Production

● Build backend services and REST APIs. ● Integrate AI features into the Workwise web application.

● Take features from experiment to production while managing reliability, latency and cost

Required Qualifications

● 3+ years of hands-on experience building AI systems, including at least one LLM-based application running in production.

● Strong Python and software engineering fundamentals.

● Experience with backend services, REST APIs, databases, authentication and frontend integration.

● Experience building applications using LLM APIs.

● Working knowledge of RAG, embeddings, retrieval and vector databases.

● Experience with tool calling, structured outputs and multi-step agent workflows.

● Working understanding of multimodal models and image processing for visual analysis and editing.

● Systematic evaluation skills: measuring results and investigating system failures.

● Ownership of implementation, testing, deployment and ongoing improvement.

Good to Have

● OCR, document layout analysis or complex table extraction.

● Computer vision experience, including object detection, segmentation or image inpainting.

● Familiarity with construction, procurement or tender documents.

● Cloud infrastructure and production monitoring.

● Working knowledge of Go.