Job Openings

Here at Bitontree we offer more than just job. Come, join us and be a part of our thriving work environment.

Jr. Business Development Executive

Experience :

Fresher

Positions:

We are seeking a motivated Business Development Executive (Fresher) to drive growth in IT services.
Responsibilities include conducting market research, generating leads, maintaining client relationships, assisting in presentations, supporting sales negotiations, and collaborating with marketing and technical teams for seamless service delivery.
Candidates should have a bachelor’s or Master's degree in Business Administration, Marketing, IT, or a related field, strong communication skills, and the ability to work independently and in a team.
Basic understanding of IT services, international markets, and familiarity with industry trends are preferred.

Software Engineer - Node.js

Experience :

3+ years

Position:

Key Responsibilities
Design, develop, and maintain scalable backend services using Node.js, NestJS, and Express.js.
Build clean, secure, and maintainable REST APIs with clear validation, error handling, and documentation.
Implement authentication, authorization, and application security best practices.
Work with SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Integrate third-party APIs, internal services, and asynchronous backend workflows.
Write unit and integration tests using Jest or similar testing frameworks.
Optimize backend performance for latency, throughput, reliability, and cost efficiency.
Work with Docker-based development and deployment environments.
Collaborate with frontend, QA, DevOps, and product teams to deliver stable releases.
Participate in code reviews and contribute to engineering quality standards.
Use AI coding tools such as Cursor, Claude, and Codex responsibly to improve development productivity.
Required Skills and Qualifications
3+ years of hands-on backend development experience with Node.js.
Strong practical experience with NestJS and Express.js.
Strong understanding of TypeScript, asynchronous programming, and backend design patterns.
Experience designing and maintaining REST APIs and OpenAPI/Swagger documentation.
Strong working knowledge of PostgreSQL, MongoDB, and Redis.
Experience with SQL and NoSQL data modeling, query optimization, and transactional workflows.
Basic knowledge of AWS services and cloud deployment concepts.
Basic understanding of CI/CD pipelines and release workflows.
Hands-on experience with Docker and containerized development.
Familiarity with Git, Jira, Postman, Swagger/OpenAPI, and standard engineering tools.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Strong debugging, problem-solving, communication, and teamwork skills.
Preferred Skills
Experience with message queues, background jobs, or event-driven systems.
Exposure to Kubernetes or container orchestration platforms.
Experience with observability tools, logging, monitoring, and production incident debugging.

AI Engineer / Agentic AI Systems Engineer

Experience :

3+ years

Position:

Key Responsibilities
Design, build, and maintain production-grade LLM applications, AI agents, and agentic workflows.
Implement agentic architectures using modern frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar systems.
Build RAG pipelines, context engineering workflows, structured tool use, and retrieval-based AI features.
Integrate AI systems with APIs, databases, internal tools, external services, and MCP-compatible systems where relevant.
Work with model providers such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar platforms.
Design multi-agent workflows with clear task orchestration, tool routing, memory/context handling, and failure recovery.
Build response evaluation, automated testing, and quality monitoring workflows for AI outputs.
Implement guardrails for prompt injection, unsafe tool use, data leakage, PII handling, and hallucination risk.
Optimize LLM usage for latency, accuracy, token consumption, and cost efficiency.
Work with vector databases and retrieval systems such as pgvector, Pinecone, Weaviate, Qdrant, Milvus, or similar tools.
Collaborate with product and engineering teams to turn AI use cases into reliable user-facing systems.
Use AI coding tools such as Cursor, Claude, and Codex as part of day-to-day engineering workflows.
Required Skills and Qualifications
1.AI Systems and Agentic Architecture
3+ years of hands-on software engineering or AI systems engineering experience.
Practical experience building LLM-powered applications or AI agents for production use.
Strong understanding of agentic architecture, tool use, RAG, orchestration, and context engineering.
Hands-on experience with frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar tools.
2.LLM Engineering and Evaluation
Strong understanding of prompt engineering, structured outputs, context windows, token usage, and model tradeoffs.
Experience building evaluation datasets, automated evals, regression checks, and response-quality monitoring workflows.
Understanding of hallucination risk, prompt injection, guardrails, AI safety, and production reliability patterns.
Ability to optimize AI workflows for accuracy, latency, cost, and maintainability.
3.Development and Infrastructure
Strong Python development skills and experience designing APIs.
Experience integrating model APIs and external systems into production applications.
Basic knowledge of AWS services, CI/CD workflows, and Docker-based deployment environments.
Working knowledge of SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Experience with vector databases or retrieval infrastructure.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Preferred Skills
React knowledge for collaborating on AI-powered user interfaces.
Experience with Vercel AI SDK, streaming AI interfaces, or conversational UI patterns.
Experience building voice agents or multimodal AI workflows.
Experience with n8n or business process automation workflows.
Exposure to Kubernetes or container orchestration platforms.
Understanding of transformers, tokenization, embeddings, and inference behavior.

Software Engineer - Python

Experience :

3+ years

Position:

Key Responsibilities
Design, build, and maintain production-grade LLM applications, AI agents, and agentic workflows.
Implement agentic architectures using modern frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar systems.
Build RAG pipelines, context engineering workflows, structured tool use, and retrieval-based AI features.
Integrate AI systems with APIs, databases, internal tools, external services, and MCP-compatible systems where relevant.
Work with model providers such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar platforms.
Design multi-agent workflows with clear task orchestration, tool routing, memory/context handling, and failure recovery.
Build response evaluation, automated testing, and quality monitoring workflows for AI outputs.
Implement guardrails for prompt injection, unsafe tool use, data leakage, PII handling, and hallucination risk.
Optimize LLM usage for latency, accuracy, token consumption, and cost efficiency.
Work with vector databases and retrieval systems such as pgvector, Pinecone, Weaviate, Qdrant, Milvus, or similar tools.
Collaborate with product and engineering teams to turn AI use cases into reliable user-facing systems.
Use AI coding tools such as Cursor, Claude, and Codex as part of day-to-day engineering workflows.
Required Skills and Qualifications
1.AI Systems and Agentic Architecture
3+ years of hands-on software engineering or AI systems engineering experience.
Practical experience building LLM-powered applications or AI agents for production use.
Strong understanding of agentic architecture, tool use, RAG, orchestration, and context engineering.
Hands-on experience with frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar tools.
2.LLM Engineering and Evaluation
Strong understanding of prompt engineering, structured outputs, context windows, token usage, and model tradeoffs.
Experience building evaluation datasets, automated evals, regression checks, and response-quality monitoring workflows.
Understanding of hallucination risk, prompt injection, guardrails, AI safety, and production reliability patterns.
Ability to optimize AI workflows for accuracy, latency, cost, and maintainability.
3.Development and Infrastructure
Strong Python development skills and experience designing APIs.
Experience integrating model APIs and external systems into production applications.
Basic knowledge of AWS services, CI/CD workflows, and Docker-based deployment environments.
Working knowledge of SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Experience with vector databases or retrieval infrastructure.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Preferred Skills
React knowledge for collaborating on AI-powered user interfaces.
Experience with Vercel AI SDK, streaming AI interfaces, or conversational UI patterns.
Experience building voice agents or multimodal AI workflows.
Experience with n8n or business process automation workflows.
Exposure to Kubernetes or container orchestration platforms.
Understanding of transformers, tokenization, embeddings, and inference behavior.

HR Executive

Experience :

1-2 Years

Position:

Key Responsibilities
Handle end-to-end recruitment activities including sourcing, screening, scheduling interviews, and onboarding.
Coordinate with hiring managers to understand hiring requirements and timelines.
Manage job postings on portals, Naukri, LinkedIn, and other recruitment platforms.
Maintain candidate databases and ensure a smooth recruitment process and candidate experience.
Handle HR operations including employee documentation
Ensure HR policies and procedures are followed.
Participating in employee engagement activities.
Coordinate with employees for asset management and other operational requirements.
Support day-to-day HR administrative activities and reporting.
Required Skills & Qualifications
1–2 years of experience in HR Recruitment and HR Operations.
IT industry experience is mandatory.
MBA/PGDM in HR is preferred.
Strong understanding of recruitment processes and HR operations.
Experience with job portals,Naukri, Indeed, LinkedIn hiring, and candidate coordination.
Good communication, interpersonal, and coordination skills.
Ability to multitask and work in a fast-paced environment.
Knowledge of MS Office tools like Excel, Word, and PowerPoint.
Strong organizational and problem-solving skills.

Be One of Us, Where Passion Meets Profession

Bitontree always looks for talented and skillful people ready to show enthusiasm to join our vibrant team.

Perks and Benefits

Here at Bitontree, we are proud to be an alliance that takes full accountability for its work. At every step, we focused on building a strong team that can go beyond the limits to achieve its goals. Every individual at Bitontree is open to sharing their ideas and opinions. It is the freedom provided to every employee so that our team can breathe and grow in a healthy environment.

5 Days Working

No Contract

Bonus Plan

Work Life Balance

Career Growth

Work From Home

Open Door Policy

Learning & Development

Job Openings

Here at Bitontree we offer more than just job. Come, join us and be a part of our thriving work environment.

Jr. Business Development Executive

Experience :

Fresher

Positions:

We are seeking a motivated Business Development Executive (Fresher) to drive growth in IT services.
Responsibilities include conducting market research, generating leads, maintaining client relationships, assisting in presentations, supporting sales negotiations, and collaborating with marketing and technical teams for seamless service delivery.
Candidates should have a bachelor’s or Master's degree in Business Administration, Marketing, IT, or a related field, strong communication skills, and the ability to work independently and in a team.
Basic understanding of IT services, international markets, and familiarity with industry trends are preferred.

Software Engineer - Node.js

Experience :

3+ years

Position:

Key Responsibilities
Design, develop, and maintain scalable backend services using Node.js, NestJS, and Express.js.
Build clean, secure, and maintainable REST APIs with clear validation, error handling, and documentation.
Implement authentication, authorization, and application security best practices.
Work with SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Integrate third-party APIs, internal services, and asynchronous backend workflows.
Write unit and integration tests using Jest or similar testing frameworks.
Optimize backend performance for latency, throughput, reliability, and cost efficiency.
Work with Docker-based development and deployment environments.
Collaborate with frontend, QA, DevOps, and product teams to deliver stable releases.
Participate in code reviews and contribute to engineering quality standards.
Use AI coding tools such as Cursor, Claude, and Codex responsibly to improve development productivity.
Required Skills and Qualifications
3+ years of hands-on backend development experience with Node.js.
Strong practical experience with NestJS and Express.js.
Strong understanding of TypeScript, asynchronous programming, and backend design patterns.
Experience designing and maintaining REST APIs and OpenAPI/Swagger documentation.
Strong working knowledge of PostgreSQL, MongoDB, and Redis.
Experience with SQL and NoSQL data modeling, query optimization, and transactional workflows.
Basic knowledge of AWS services and cloud deployment concepts.
Basic understanding of CI/CD pipelines and release workflows.
Hands-on experience with Docker and containerized development.
Familiarity with Git, Jira, Postman, Swagger/OpenAPI, and standard engineering tools.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Strong debugging, problem-solving, communication, and teamwork skills.
Preferred Skills
Experience with message queues, background jobs, or event-driven systems.
Exposure to Kubernetes or container orchestration platforms.
Experience with observability tools, logging, monitoring, and production incident debugging.

AI Engineer / Agentic AI Systems Engineer

Experience :

3+ years

Position:

Key Responsibilities
Design, build, and maintain production-grade LLM applications, AI agents, and agentic workflows.
Implement agentic architectures using modern frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar systems.
Build RAG pipelines, context engineering workflows, structured tool use, and retrieval-based AI features.
Integrate AI systems with APIs, databases, internal tools, external services, and MCP-compatible systems where relevant.
Work with model providers such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar platforms.
Design multi-agent workflows with clear task orchestration, tool routing, memory/context handling, and failure recovery.
Build response evaluation, automated testing, and quality monitoring workflows for AI outputs.
Implement guardrails for prompt injection, unsafe tool use, data leakage, PII handling, and hallucination risk.
Optimize LLM usage for latency, accuracy, token consumption, and cost efficiency.
Work with vector databases and retrieval systems such as pgvector, Pinecone, Weaviate, Qdrant, Milvus, or similar tools.
Collaborate with product and engineering teams to turn AI use cases into reliable user-facing systems.
Use AI coding tools such as Cursor, Claude, and Codex as part of day-to-day engineering workflows.
Required Skills and Qualifications
1.AI Systems and Agentic Architecture
3+ years of hands-on software engineering or AI systems engineering experience.
Practical experience building LLM-powered applications or AI agents for production use.
Strong understanding of agentic architecture, tool use, RAG, orchestration, and context engineering.
Hands-on experience with frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar tools.
2.LLM Engineering and Evaluation
Strong understanding of prompt engineering, structured outputs, context windows, token usage, and model tradeoffs.
Experience building evaluation datasets, automated evals, regression checks, and response-quality monitoring workflows.
Understanding of hallucination risk, prompt injection, guardrails, AI safety, and production reliability patterns.
Ability to optimize AI workflows for accuracy, latency, cost, and maintainability.
3.Development and Infrastructure
Strong Python development skills and experience designing APIs.
Experience integrating model APIs and external systems into production applications.
Basic knowledge of AWS services, CI/CD workflows, and Docker-based deployment environments.
Working knowledge of SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Experience with vector databases or retrieval infrastructure.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Preferred Skills
React knowledge for collaborating on AI-powered user interfaces.
Experience with Vercel AI SDK, streaming AI interfaces, or conversational UI patterns.
Experience building voice agents or multimodal AI workflows.
Experience with n8n or business process automation workflows.
Exposure to Kubernetes or container orchestration platforms.
Understanding of transformers, tokenization, embeddings, and inference behavior.

Software Engineer - Python

Experience :

3+ years

Position:

Key Responsibilities
Design, build, and maintain production-grade LLM applications, AI agents, and agentic workflows.
Implement agentic architectures using modern frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar systems.
Build RAG pipelines, context engineering workflows, structured tool use, and retrieval-based AI features.
Integrate AI systems with APIs, databases, internal tools, external services, and MCP-compatible systems where relevant.
Work with model providers such as OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar platforms.
Design multi-agent workflows with clear task orchestration, tool routing, memory/context handling, and failure recovery.
Build response evaluation, automated testing, and quality monitoring workflows for AI outputs.
Implement guardrails for prompt injection, unsafe tool use, data leakage, PII handling, and hallucination risk.
Optimize LLM usage for latency, accuracy, token consumption, and cost efficiency.
Work with vector databases and retrieval systems such as pgvector, Pinecone, Weaviate, Qdrant, Milvus, or similar tools.
Collaborate with product and engineering teams to turn AI use cases into reliable user-facing systems.
Use AI coding tools such as Cursor, Claude, and Codex as part of day-to-day engineering workflows.
Required Skills and Qualifications
1.AI Systems and Agentic Architecture
3+ years of hands-on software engineering or AI systems engineering experience.
Practical experience building LLM-powered applications or AI agents for production use.
Strong understanding of agentic architecture, tool use, RAG, orchestration, and context engineering.
Hands-on experience with frameworks such as OpenAI Agents SDK, LangGraph, LangChain, CrewAI, LlamaIndex, or similar tools.
2.LLM Engineering and Evaluation
Strong understanding of prompt engineering, structured outputs, context windows, token usage, and model tradeoffs.
Experience building evaluation datasets, automated evals, regression checks, and response-quality monitoring workflows.
Understanding of hallucination risk, prompt injection, guardrails, AI safety, and production reliability patterns.
Ability to optimize AI workflows for accuracy, latency, cost, and maintainability.
3.Development and Infrastructure
Strong Python development skills and experience designing APIs.
Experience integrating model APIs and external systems into production applications.
Basic knowledge of AWS services, CI/CD workflows, and Docker-based deployment environments.
Working knowledge of SQL and NoSQL databases, including PostgreSQL, MongoDB, and Redis.
Experience with vector databases or retrieval infrastructure.
Experience with AI coding tools such as Cursor, Claude, and Codex.
Preferred Skills
React knowledge for collaborating on AI-powered user interfaces.
Experience with Vercel AI SDK, streaming AI interfaces, or conversational UI patterns.
Experience building voice agents or multimodal AI workflows.
Experience with n8n or business process automation workflows.
Exposure to Kubernetes or container orchestration platforms.
Understanding of transformers, tokenization, embeddings, and inference behavior.

HR Executive

Experience :

1-2 Years

Position:

Key Responsibilities
Handle end-to-end recruitment activities including sourcing, screening, scheduling interviews, and onboarding.
Coordinate with hiring managers to understand hiring requirements and timelines.
Manage job postings on portals, Naukri, LinkedIn, and other recruitment platforms.
Maintain candidate databases and ensure a smooth recruitment process and candidate experience.
Handle HR operations including employee documentation
Ensure HR policies and procedures are followed.
Participating in employee engagement activities.
Coordinate with employees for asset management and other operational requirements.
Support day-to-day HR administrative activities and reporting.
Required Skills & Qualifications
1–2 years of experience in HR Recruitment and HR Operations.
IT industry experience is mandatory.
MBA/PGDM in HR is preferred.
Strong understanding of recruitment processes and HR operations.
Experience with job portals,Naukri, Indeed, LinkedIn hiring, and candidate coordination.
Good communication, interpersonal, and coordination skills.
Ability to multitask and work in a fast-paced environment.
Knowledge of MS Office tools like Excel, Word, and PowerPoint.
Strong organizational and problem-solving skills.