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Walk-In Drive - Mid/Sr AI Engineer (Virtual)

SimformRemote2d ago
RemoteFull-timevia indeed

Required Skills

awsazureci/cddockergcpgitkubernetesllmmachine learningnlppythonpytorchtensorflow

Job Description

Mid/Sr AI Engineer

Location: Ahmedabad, Gujarat

Employment Type: Full\-Time

Experience: 3–7 Years

Department: AI \& Machine Learning

Walk\-In Date \& Time \- 31st Oct, 10:30 AM to 5:00 PM

  • *About Simform:**

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, Google Cloud, and Databricks. With a presence in 5\+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work\-life balance that gives a sense of freedom and opportunity to grow.

  • *Role Overview:**

We are looking for a Mid/Sr AI Engineer with expertise in Generative AI, Agentic AI, LLMs, and RAG architectures, complemented by a solid foundation in traditional machine learning. You will build, evaluate, and deploy production\-grade AI solutions with a strong focus on reliability, scalability, and code quality.

  • *Key Responsibilities**
  • Design and develop Generative AI applications using LLMs, prompt engineering, and structured outputs.
  • Build advanced RAG pipelines using embeddings, hybrid search, reranking, and vector databases.
  • Develop AI agents and workflows using LangGraph, LangChain, tool calling, and MCP where appropriate.
  • Develop and deploy enterprise level applications using Azure AI services.
  • Implement AI evaluation frameworks, automated regression testing, and quality metrics to assess accuracy, relevance, faithfulness, and task completion.
  • Apply traditional ML techniques for classification, regression, predictive analytics, and NLP where required.
  • Build data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Write clean, modular, testable, and maintainable Python code following software engineering best practices.
  • Integrate AI solutions into production systems through APIs, with appropriate security, monitoring, and observability.
  • Deploy and optimize AI applications on AWS, Azure, or GCP.
  • Collaborate with cross\-functional teams, contribute to architecture decisions, and mentor junior engineers.
  • *Required Skills \& Qualifications**
  • Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
  • 3–7 years of experience in AI/ML development and software engineering.
  • Strong Python programming skills and experience with PyTorch, TensorFlow, or scikit\-learn.
  • Understanding of machine learning fundamentals, including classification, regression, model evaluation, and feature engineering.
  • Hands\-on experience with LLMs, Generative AI, RAG, embeddings, and vector databases.
  • Experience with LangChain, LangGraph, or equivalent LLM orchestration frameworks.
  • Understanding of AI agents, tool calling, workflow orchestration, and failure handling.
  • Familiarity with evaluation frameworks such as RAGAS, DeepEval, or equivalent tools.
  • Experience with APIs, automated testing, Git, CI/CD, databases, and cloud deployments.
  • Knowledge of production monitoring, debugging, security, and performance optimization.
  • *Preferred Qualifications**
  • Experience with MCP, GraphRAG, multi\-agent systems, and advanced retrieval techniques.
  • Knowledge of LLM fine\-tuning, LoRA/PEFT, and model optimization.
  • Familiarity with Langfuse, LangSmith, Arize Phoenix, MLflow, Docker, and Kubernetes.
  • Exposure to computer vision, multimodal AI, and MLOps/LLMOps practices.
  • *Why Join us**
  • Young Team, Thriving Culture
  • Flat\-hierarchical, friendly, engineering\-oriented, and growth\-focused culture.
  • Well\-balanced learning and growth opportunities
  • Free health insurance.
  • Office facilities with a game zone, an in\-office kitchen with affordable lunch service, and free snacks.
  • Sponsorship for certifications/events and library service.
  • Flexible work timing, leaves for life events, WFH, and hybrid options.

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Job Overview

Job type
Full-time
Work mode
Remote
Location
Anywhere in India
Posted
2d ago
Source
Indeed