Sr AI Engineer
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Job Description
Senior AI Engineer
Location: Ahmedabad, Gujarat
Employment Type: Full\-Time
Experience: 4–7 Years
Department: AI \& Machine Learning
- *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 Senior 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.
- 4–7 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
- 3d ago
- Source
- Indeed