As a Software Engineer – 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
Your qualification for this role:
- 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
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
Who are we?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.
