AI Application Engineer
Full Job Description
Join Rearc in Pune, India, as an AI Application Engineer and be instrumental in advancing our machine learning and artificial intelligence capabilities. You will design and deploy efficient, reliable, and production-ready intelligent systems by leveraging your expertise in Machine Learning, AI application development, and LLMOps. Collaborate with cross-functional teams to build and operationalize GenAI solutions, pushing the boundaries of AI in customer environments. Essential to this role is building strong partnerships with technical teams and stakeholders, aligning with business objectives to support and execute AI-driven initiatives.
What You Bring
A minimum of 2 years of experience in AI engineering, machine learning (ML), or related fields, with proven expertise in building and deploying intelligent systems.
Generative AI (GenAI expertise)
- A strong understanding of state-of-the-art generative AI techniques, including large language models (LLMs), text generation, and other foundation models.
- Familiarity with AI orchestration tools such as LangGraph, CrewAI, Bedrock Agents, and smolagents.
- Experience in fine-tuning, prompt engineering, or adapting generative models for specific use cases.
- Proficiency in AI model evaluation, including human-in-the-loop and LLM judge paradigms.
- Familiarity with Natural Language Processing (NLP) libraries and frameworks.
Knowledge Base & Tool Integration
- Hands-on experience implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models.
- Knowledge of at least one vector store or database (e.g., Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search.
- Familiarity with common data ingestion/ETL patterns for populating knowledge bases.
- Experience implementing LLM tool calling, either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients.
Amazon Bedrock Or Databricks AI Experience
- Experience using Amazon Bedrock or Databricks Mosaic AI for deploying and managing generative AI models.
- Ability to integrate Generative AI scripts with other services (such as AWS S3 or Lambda or Databricks Apps) to build scalable and secure AI solutions.
Software & Tools Proficiency
- Strong programming skills in Python or similar languages.
- Familiarity with CI/CD pipelines and MLOps practices for seamless integration, testing, and deployment of AI models.
Nice-to-Haves
- Experience with containerization and orchestration for deploying AI services.
- Understanding of cloud security best practices and cloud architecture design for AI workloads.
- Experience writing MCP servers.
- Experience training or fine-tuning ML models (classical ML or LLMs/diffusion models).
What You'll Do
- Collaborate with colleagues to understand customer business objectives and technical challenges, contributing to the design and development of effective GenAI solutions.
- Apply GenAI principles using modern tools and frameworks like LangGraph to build scalable, reliable, and maintainable Compound AI systems, ensuring adherence to rigorous industry and ethical standards.
- Continuously research and stay abreast of the latest state-of-the-art technologies and patterns in AI application development.
- Promote knowledge sharing through blog posts, articles, and internal talks, fostering a collaborative environment for ongoing innovation.
Company
Rearc
Rearc empowers engineers to create exceptional products and experiences by fostering an environment of free thinking, challenging the status quo, and encouraging diverse problem-solving approaches. We...