Java + Gen AI

Tekskills; Bulandshahr; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills is seeking a Software Engineer with GenAI expertise to design and implement intelligent agentic workflows integrated into SDLC tooling across the engineering stack.

You will build RAG pipelines, APIs, and microservices for AI-driven automation while collaborating with product, architecture, and DevOps teams to embed AI capabilities into CI/CD pipelines.

Qualifications

• GenAI solutions and agentic workflows experience.
• SDLC integration and AI-enabled automation expertise.
• Familiar with security, privacy and ethical AI standards.

Responsibilities

• Design and implement GenAI-powered applications and agentic workflows within SDLC tools and processes.
• Build and integrate Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI solutions.
• Develop APIs, microservices, and integration layers for AI-driven automation.
• Collaborate with product, architecture, and DevOps teams to embed AI capabilities into CI/CD pipelines.
• Ensure compliance with security, privacy, and ethical AI standards.

Skills

Strong programming

Python

Java

TypeScript

Prompt engineering

System design

Observability concept

Tools

OpenAI

Hugging Face

LangChain

Pinecone

Weaviate

Milvus

Docker

Kubernetes

Azure

AWS

GCP

Job description

Role & responsibilities

Java + Gen AI professionals

We are seeking a Software Engineer with expertise in building Generative AI (GenAI) solutions and designing Agentic experiences

Integrated into the Software Development Life Cycle (SDLC).

The ideal candidate will develop intelligent agents and AI-driven

workflows that enhance automation, decision-making, and developer productivity across engineering platforms.

Key Responsibilities

Design and implement GenAI-powered applications and agentic workflows within SDLC tools and processes.

Build and integrate Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI solutions.

Develop APIs, microservices, and integration layers for AI-driven automation. Implement vector database solutions for semantic search and knowledge retrieval.

Collaborate with product, architecture, and DevOps teams to embed AI capabilities into CI/CD pipelines. Ensure compliance with security, privacy, and ethical AI standards.

kills Needed Strong programming

skills in Python, Java, or TypeScript. Hands-on experience with LLM frameworks (e.g., OpenAI, Hugging Face, LangChain). Knowledge of Agentic AI architectures and orchestration frameworks.

Proficiency in RAG techniques, vector databases (e.g., Pinecone, Weaviate, Milvus), and embedding models. Familiarity with ML model deployment, prompt engineering, and fine-tuning techniques.

Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). Understanding of SDLC best practices, CI/CD pipelines, and DevOps automation.

Strong problem-solving and system design skills. Plus: Experience with observability agents for monitoring AI workflows and performance

Immediate Joiners / Serving Notice Period candidates ONLY