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Synram Technolab

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Artificial Intelligence Engineer

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Summary

Onsite AI Engineer in Gwalior building and deploying AI-powered applications for Synram Technolab: integrating LLMs, RAG pipelines, vector databases, and prompt engineering into business products, with Python, MongoDB, and AWS Cloud. Full-time, permanent, 2-5 years of experience.

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Job Description: AI Engineer

Job Title: AI Engineer

Experience Required: 2-5 Years

Location: Onsite Gwalior, Madhya Pradesh

Employment Type: Full-Time, Permanent

Immediate Joiner: Preferred

Company Overview

SynRam Software Services Pvt. Ltd. is a next-generation technology company and a key subsidiary of FG International GmbH, Germany. In collaboration with ISM Technology GmbH, we are developing innovative, proprietary technology products with a focus on scalable, intelligent, and high-quality software solutions.

About the Role

We are looking for a skilled and innovative AI Engineer with 2-5 years of hands-on experience in developing AI-powered applications, integrating Large Language Models (LLMs), and building intelligent solutions using modern AI technologies.The ideal candidate should have practical experience with Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AWS Cloud, and MongoDB.The candidate will be responsible for developing, deploying, and optimizing AI-driven applications, building knowledge-based systems, integrating LLMs with business applications, and creating scalable AI solutions that deliver accurate, relevant, and reliable results.

Key Responsibilities

  • Design, develop, and implement AI-powered applications using modern AI frameworks and technologies.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for document-based question answering and knowledge retrieval.
  • Integrate Large Language Models (LLMs) into applications to develop intelligent conversational systems and AI-powered features.
  • Design and implement effective prompt engineering strategies to improve response accuracy, relevance, and consistency.
  • Work with vector databases to store, index, retrieve, and manage embeddings for semantic search and AI applications.
  • Develop document ingestion, text chunking, embedding generation, and retrieval workflows.
  • Integrate AI models and services with backend systems, REST APIs, and existing business applications.
  • Work with MongoDB to manage application data, conversation histories, metadata, and other structured or semi-structured information.
  • Deploy, manage, and optimize AI applications using AWS Cloud services.
  • Implement efficient data retrieval, context management, and response-generation mechanisms.
  • Evaluate AI model performance and improve response quality, latency, reliability, and cost efficiency.
  • Implement error handling, logging, monitoring, and debugging for AI-powered applications.
  • Apply appropriate data security, access control, and privacy practices when working with AI systems.
  • Collaborate with developers, product managers, and other stakeholders to translate business requirements into practical AI solutions.
  • Stay updated with emerging AI technologies, LLM capabilities, RAG techniques, and industry best practices.

Required Skills & Qualifications (Mandatory)

  • 25 years of professional experience in AI engineering, machine learning, or AI application development.
  • Strong programming skills in Python.
  • Hands-on experience working with Large Language Models (LLMs) and integrating them into applications.
  • Practical experience implementing Retrieval-Augmented Generation (RAG) pipelines.
  • Strong understanding of prompt engineering, prompt optimization, and context management.
  • Hands-on experience with vector databases, such as Pinecone, ChromaDB, FAISS, Weaviate, or similar technologies.
  • Understanding of vector embeddings, semantic search, similarity search, and document retrieval techniques.
  • Experience with MongoDB, including data modeling, CRUD operations, and query optimization.
  • Practical experience deploying or managing applications on AWS Cloud.
  • Familiarity with REST APIs, JSON, and third-party AI service integrations.
  • Understanding of document processing, text chunking, embedding generation, and retrieval optimization.
  • Knowledge of authentication, authorization, API security, and secure data handling.
  • Strong problem-solving, analytical, debugging, and communication skills.
  • Ability to develop scalable, maintainable, and production-ready AI applications.

Preferred Skills

  • Experience with AI frameworks and libraries such as LangChain, LlamaIndex, or LangGraph.
  • Familiarity with LLM providers and APIs, such as OpenAI, Anthropic, or AWS Bedrock.
  • Experience with AWS services such as Amazon Bedrock, AWS Lambda, Amazon S3, Amazon ECS, or Amazon EC2.
  • Knowledge of hybrid search, reranking, metadata filtering, and advanced RAG architectures.
  • Experience building AI chatbots, knowledge assistants, document intelligence systems, or conversational AI applications.
  • Understanding of LLM evaluation, hallucination reduction, response grounding, and retrieval quality improvement.
  • Familiarity with Docker, CI/CD pipelines, and application deployment practices.
  • Knowledge of relational databases and data integration techniques.
  • Understanding of AI application monitoring, token usage optimization, latency reduction, and cost management.
  • Familiarity with AI agents, tool calling, and multi-step AI workflows.
  • Experience with authentication and authorization for enterprise AI applications.

Preferred Candidate ProfileThe ideal candidate should have practical experience building and deploying AI-powered applications using LLMs, RAG, vector databases, and cloud technologies.We are looking for someone who can independently develop AI workflows, integrate external AI services, optimize retrieval and generation quality, and deliver scalable solutions for real-world business requirements.Candidates with hands-on experience building RAG-based applications, AI chatbots, knowledge retrieval systems, or enterprise AI assistants will be preferred.

Job Details

  • Job Type: Full-Time, Permanent
  • Work Location: Onsite Gwalior, Madhya Pradesh
  • Experience: 2-5 Years
  • Industry: IT Services & Consulting
  • Department: Artificial Intelligence / Software Engineering
  • Education: Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field preferred.
  • Joining Preference: Immediate joiners preferred.

Apply Now

If you are passionate about artificial intelligence and enjoy building intelligent, scalable, and practical AI solutions, we invite you to join SynRam Software Services Pvt. Ltd.

Email: career@synram.co

Contact: +91-9111381555

Key Skills

Python, Artificial Intelligence, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, Vector Embeddings, Semantic Search, AWS Cloud, Amazon Bedrock, MongoDB, LangChain, LlamaIndex, REST APIs, Document Processing, AI Chatbots, and AI Application Development.


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