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

Simform - Product Engineering Company
  • 🇮🇳 India
  • On-site
  • Senior
  • 1 day ago
  • AI
  • Machine Learning
  • AI/ML
  • GCP
  • Databricks
  • RAG
  • LangGraph
  • LangChain
  • MCP
  • Azure AI
  • Natural Language Processing
  • Python
  • AWS
  • Azure
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Git
  • CI/CD
  • LoRA
  • LangSmith
  • MLflow
  • Docker
  • Kubernetes
  • Computer Vision
  • MLOps
  • Health insurance
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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.

Walk-In Drive - Mid/Sr AI Engineer (Virtual) · Simform - Product Engineering Company

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