Java Backend + AI Agent Developer
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Before you apply
LocationPune, Maharashtra; Hyderabad, Telangana
SenioritySenior
Experience5–8 yrs
Company size1,001–5,000 people
PostedDec 11, 2025 · 10mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5–8 years of experience in Core Java, concurrency, multithreading, and performance tuning
Strong expertise in Spring Boot, REST APIs, and microservices architecture
Proficiency in SQL/NoSQL databases and integrating real-time data streams
Solid understanding of LLMs, RAG, embeddings, and vector databases
Practical experience building AI agent pipelines
Hands-on experience with OpenAI API, LangChain, or similar frameworks
Knowledge of prompt engineering and model fine-tuning techniques
Demonstrated experience deploying AI-driven or agentic systems in production
Familiarity with vector databases such as Pinecone, FAISS, Milvus, Weaviate
Experience with cloud ecosystems (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Working knowledge of Python for interacting with core AI/ML services or models
Experience with modern vector databases such as Weaviate, Pinecone, Chroma, etc.
Skills
Java (8/11/17)
Spring Boot
Spring Cloud
RESTful APIs
MySQL
PostgreSQL
MongoDB
Redis
LangChain
LangGraph
OpenAI Assistants
ReAct
AutoGen
HuggingFace
LlamaIndex
RAG
LLMs
GPT
Claude
Llama
Mistral
prompt engineering
vector databases
Pinecone
FAISS
Milvus
Weaviate
AWS
Azure
GCP
Docker
Kubernetes
Python
Chroma
Java Backend + AI Agent Developer1
Key Responsibilities
Java Backend Engineering
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Develop, optimize, and maintain high-performance backend applications using Java (8/11/17).
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Build robust microservices using Spring Boot / Spring Cloud.
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Design scalable RESTful APIs and event-driven architectures.
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Implement secure, highly available, low-latency backend systems.
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Work with both relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Redis.
Agentic AI Development
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Build and integrate AI agents using frameworks such as:
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LangChain / LangGraph
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OpenAI Assistants / ReAct / AutoGen
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HuggingFace, LlamaIndex, or custom agentic frameworks
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Develop advanced agentic workflows including:
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Tool calling and function calling
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Task planning and retrieval-augmented generation (RAG)
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Dynamic reasoning and multi-agent collaboration
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Integrate leading LLMs (GPT, Claude, Llama, Mistral, etc.) into Java-based systems.
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Build workflows and pipelines for prompt engineering, model orchestration, and inference.
Required Skills
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5–8 years of experience in Core Java, concurrency, multithreading, and performance tuning.
•
Strong expertise in Spring Boot, REST APIs, and microservices architecture.
•
Proficiency in SQL/NoSQL databases and integrating real-time data streams.
•
Solid understanding of LLMs, RAG, embeddings, and vector databases.
•
Practical experience building AI agent pipelines.
•
Hands-on experience with OpenAI API, LangChain, or similar frameworks.
•
Knowledge of prompt engineering and model fine-tuning techniques.
•
Demonstrated experience deploying AI-driven or agentic systems in production.
•
Familiarity with vector databases such as Pinecone, FAISS, Milvus, Weaviate.
•
Experience with cloud ecosystems (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Desirable Qualifications
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Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
•
Working knowledge of Python for interacting with core AI/ML services or models.
•
Experience with modern vector databases such as Weaviate, Pinecone, Chroma, etc.