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

Simform

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About The Position

Simform is hiring a Mid/Senior AI Engineer in its AI & Machine Learning department. The role focuses on building, evaluating, and deploying reliable, scalable, production-grade AI solutions, particularly in Generative AI, Agentic AI, LLMs, and RAG architectures, alongside traditional machine learning. The engineer will develop AI applications and pipelines, integrate them into production systems, deploy them on cloud platforms, and collaborate on architecture with cross-functional teams while mentoring junior engineers.

Simform is a digital engineering company working in Cloud, Data, AI/ML, and Experience Engineering. It partners with Microsoft, Google Cloud, and Databricks, has a presence in more than five countries, and primarily serves North America, the UK, and Northern Europe. The company describes its culture as friendly, engineering-oriented, growth-focused, and supportive of work-life balance.

The role is listed as full-time, based in Ahmedabad, Gujarat. A virtual walk-in drive is scheduled for October 31, from 10:30 AM to 5:00 PM.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Design and develop Generative AI applications using LLMs, prompt engineering, and structured outputs.
• Build 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 for accuracy, relevance, faithfulness, and task completion.
• Apply traditional machine learning 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 and contribute to architecture decisions.
• Mentor junior engineers.

Benefits

• Free health insurance.
• Office facilities including a game zone, an in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications and events.
• Library service.
• Flexible work timing.
• Leaves for life events.
• Work-from-home and hybrid options.
• Learning and growth opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level