Job Description
What's the role?:
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
Who are you?:
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
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.
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
Who are you?:
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
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.
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
