Generative AI Engineer

Utkarsh Placement Pvt. Ltd.; Thane; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Utkarsh Placement Pvt. Ltd. in Thane, Maharashtra, seeks a Generative AI Engineer to build end-to-end GenAI applications, including LLM-powered solutions and RAG pipelines.

You will work on multi-agent orchestration, semantic search, and API exposure, aligning AI capabilities with enterprise data sources. The role emphasizes Python-based backend development, REST APIs, and scalable deployments in a collaborative, fast-paced environment.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science or related
• 2–4 years of AI/ML or Generative AI development experience

Responsibilities

• Design end-to-end Generative AI apps using LLMs (OpenAI, Gemini)
• Build and optimize RAG pipelines with vector DBs and semantic search
• Develop multi-agent systems using LangChain/LangGraph
• Integrate LLMs with enterprise data for context-aware responses
• Expose RESTful APIs for AI services and app integration
• Work with vector databases (ElasticSearch, Chroma, Azure AI Search)
• Optimize model performance, latency and output quality for production
• Collaborate with frontend, backend and product teams
• Implement prompt engineering to improve accuracy and relevance
• Ensure scalability, reliability and maintainability of AI systems

Skills

GenAI & LLMs

RAG & Semantic Search

Multi-agent systems

REST API design

Python programming

Education

Bachelor's degree in CS/AI/DS

Tools

LangChain

LangGraph

Flask / FastAPI

Job description

JOB PROFILE

Job Description: Generative AI Engineer

Location: Thane

Experience: 24 Years

Role Summary

We are looking for a skilled Generative AI Engineer with hands-on experience in building LLM-powered applications, multi-agent systems, and Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will have strong expertise in modern GenAI frameworks and be capable of designing scalable, production‑grade AI solutions.

Key Responsibilities

• Design and develop end‑to‑end Generative AI applications using LLMs (OpenAI, Gemini, etc.)
• Build and optimize RAG pipelines leveraging vector databases and semantic search
• Develop and orchestrate multi‑agent systems using frameworks like LangChain and LangGraph
• Integrate LLM models with enterprise data sources to deliver context‑aware responses
• Design and expose RESTful APIs for AI services and application integration
• Work with vector databases such as ElasticSearch, Chroma, or Azure AI Search
• Optimize model performance, latency, and response quality for production use cases
• Collaborate with frontend, backend, and product teams for seamless solution delivery
• Implement prompt engineering strategies and improve output accuracy and relevance
• Ensure scalability, reliability, and maintainability of AI systems

Key Skills & Technologies

GenAI & LLMs:

• OpenAI, Gemini, Azure OpenAI, AWS Bedrock
• Prompt Engineering, RAG, Semantic Search

Frameworks & Tools:

• LangChain, LangGraph
• Flask / FastAPI for API development

Vector Databases & Search:

• ElasticSearch, Chroma, Azure AI Search

Programming & Backend:

• Python (mandatory)
• REST API development
• Basic knowledge of Java / backend integration (good to have)

Cloud & Deployment:

• AWS (EC2, S3, Lambda) or Azure
• CI/CD and scalable deployments

Good to Have

• Experience with multi‑agent architectures / agent orchestration
• Exposure to chatbot architectures and conversational AI systems
• Understanding of frontend frameworks (React.js)
• Experience with speech (STT/TTS) or multimodal AI applications

Qualifications

• Bachelor’s degree in Computer Science / AI / Data Science or related field
• 2–4 years of relevant experience in AI/ML or Generative AI development

Key Competencies

• Strong problem‑solving and analytical thinking
• Ability to work in a fast‑paced, innovation‑driven environment
• Good communication and collaboration skills

If you are passionate about frontend development with a strong understanding of full‑stack concepts, this role could be a great fit for you.

Location: Thane, Maharashtra