Your mission
As a Software Engineer II – AI, you will be at the forefront of building agent-based systems and intelligent pipelines that combine structured geospatial data with unstructured content. You’ll collaborate with AI researchers, data scientists, and product engineers to deliver scalable, high-performing solutions. If you thrive on pushing the boundaries of what AI can do in the real world — especially in dynamic environments like map making — this is the role for you.
Your Tasks
- Design and develop agentic systems using Python and frameworks like Lang Chain or Haystack
- Build and optimize scalable Retrieval-Augmented Generation (RAG) pipelines using LLMs and vector stores
- Integrate AI reasoning engines with data sources (SQL, NoSQL, REST APIs, file systems)
- Enhance system observability and monitoring for intelligent agents and workflows
- Implement testable, modular, and well-documented code with focus on production-readiness
- Collaborate with ML and backend engineers to tune performance and cost-efficiency
- Stay up-to-date with the latest developments in LLMs, multi-agent systems, and semantic retrieval
What you should bring along
- Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or equivalent
- 3+ years of experience in software development, with at least 2+ years in AI/ML systems
- Strong programming skills in Python, including async and multiprocessing capabilities
- Deep understanding of LLM integration patterns (OpenAI, Hugging Face, etc.)
- Experience building scalable RAG architectures with vector databases like FAISS, Weaviate, or Pinecone
- Familiarity with prompt engineering, semantic search, and knowledge graphs
- Proficiency in designing backend services with RESTful APIs and microservices
- Working knowledge of containerization (Docker), CI/CD pipelines, and cloud platforms (preferably AWS)
- Excellent communication and documentation skills
- Develop, extend and maintain AI-powered software products in an innovative and iteratively growing environment
- Implement tools to enhance both automated and semi-automated map data processing, combining backend/service-based software stacks and AI-based agentic workflows
- Build dashboards or monitoring systems to visualize agent reasoning and RAG system metrics
- Apply and extend CI/CD tools, and take end-to-end ownership of your developed AI stack, including DevOps and testing aspects
- Work closely with other full stack and frontend engineers on the team to (de)refine APIs and integrate systems with LLM-based capabilities
- Collaborate with other engineering teams and internal customers to identify opportunities, address critical needs, and solve complex problems using your AI and backend expertise
- Become an expert at leveraging internal platform resources, knowledge bases, and APIs in combination with LLMs and semantic retrieval
Nice to have
- Experience with agentic AI frameworks (Lang Graph, CrewAI, AutoGen, etc.)
- Knowledge of geospatial data or GIS platforms
- Experience with streaming data or real-time AI processing
- Familiarity with TypeScript or frontend frameworks for dashboarding agent behaviour
We are HERE
We are looking for a passionate and experienced Senior Software Engineer II – AI to join our Mumbai-based AI Innovation team. This role focuses on building intelligent agentic systems and next-generation Retrieval-Augmented Generation (RAG) pipelines for geospatial and enterprise-scale applications.
The Team
You will be part of a high-impact, agile team focused on designing and deploying intelligent solutions powered by large language models, real-time retrieval systems, and advanced reasoning capabilities. The team's mission is to automate and enhance map data operations using modern AI architectures.
