AI & Data Engineer
Builds AI-driven agentic systems that process structured/unstructured data, enabling autonomous reasoning, search, and workflow execution using LLMs, RAG pipelines, and semantic search.
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 2+ years building and deploying AI-driven applications with LLM orchestration (e.g., RAG pipelines, LangChain, LlamaIndex)
- Solid understanding of Transformer architectures (e.g., Gemini, GPT, Claude) and fine-tuning/prompt engineering
- Proven ability to build semantic search layers using PG Vector, embedding models, or Google Indexing
- Experience processing large-scale datasets using Python (Pandas/PySpark) or Scala
- Professional experience with Snowflake/Redshift and high-performance Advanced SQL
- Ability to design dimensional data models optimized for low-latency AI consumption
Nice to have
- 5+ years of experience in relevant technology
- B.Tech/M.Tech in Computer Science or related field
- Experience with multi-agent systems for complex reasoning tasks
- Hands-on experience with AWS (Bedrock, Lambda) for deploying and scaling AI workloads
- Direct experience leveraging Google Gemini for multimodal or long-context applications
Full description
Anovia is an industry-leading technology outsourcing support provider with expertise in the telecommunications industry. Operating for over 20 years, we specialize in workflow and knowledge processes, as well as technical support, helpdesk and multilingual support services. With over 200 professional experts across the globe, we service some of the worlds' most successful Fortune 500 and Fortune 1000 companies.
About the role:
We are looking for a hybrid AI and Data Engineer to build the next generation of "Agentic" systems. You will bridge the gap between raw structured/unstructured data and actionable AI, moving beyond simple chatbots to create autonomous agents that can reason, search, and execute complex workflows, including multi-agent systems and integrations with collaboration tools like Microsoft Teams or Google Chat.
Technical Qualifications:
1. GenAI & Agentic Development
- LLM Orchestration: 2+ years building and deploying AI-driven applications. You should be an expert in end to end RAG pipeline design and Agentic AI development, using frameworks like LangChain, LangGraph, LlamaIndex, and multi-agent frameworks for complex reasoning tasks.
- Model Proficiency: Solid understanding of Transformer architectures (Gemini, GPT, Claude), with a focus on Google's LLM ecosystem. Comfortable working with API parameters for LLMs (temperature, top-p, token limits, function calling, etc.) to tune model behavior for production use.
- Experience with fine-tuning, advanced prompt engineering, and optimizing context windows.
- Vector Expertise: Proven ability to build semantic search layers using PG Vector, embedding models, and Google Indexing.
- Integration: Experience connecting AI agents to collaboration platforms such as Microsoft Teams or Google Chat, for workflow and notification use cases.
2. Data Engineering & Scale
- Big Data Stack: Experience processing large-scale datasets using Python (Pandas/PySpark) or Scala.
- Warehousing & SQL: Professional experience with Snowflake or Redshift, including the ability to write high-performance Advanced SQL.
- Data Modeling: Ability to design dimensional data models optimized for low-latency AI consumption and high data quality.
3. Software Craftsmanship
- Production Standards: Focus on writing clean, maintainable code with robust CI/CD practices and ML Observability.
Preferred Qualifications:
- 5+ years of experience in relevant technology
- Education: B.Tech/M.Tech in Computer Science or a related field
- Cloud Infrastructure: Hands-on experience with AWS (Bedrock, Lambda) for deploying and scaling AI workloads