AI Engineer/ Leads
Proffer It Consultancy · Chennai · onsite · Posted 21d ago
Undisclosed5–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Position: AI Engineer/ Leads
Location: Bangalore or Chennai
Experience: 5-8 years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore, and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Design and develop AI agent architectures and business applications using LLMs and embeddings. Integrate AI solutions with user interfaces, APIs, and vector databases. Collaborate with cross-functional teams to optimize and maintain scalable AI systems.
What Youll Do:
1. Design and develop the architecture of AI agents, ensuring seamless integration with tools, APIs, and memory systems.
2. Architect solutions for integrating user interfaces with AI-powered agents for intuitive experiences.
3. Build business applications such as chatbots, document summarizers, and virtual assistants using LLMs and embeddings.
What We re Looking For (Must Haves):
1. Strong experience in designing and building AI agent architectures.
2. Expert knowledge of AI frameworks such as LangChain, OpenAI Function Calling, AutoGen, and similar technologies.
3. Deep expertise in building and deploying business applications using LLMs and embeddings.
4. Proficiency in programming languages such as Python, JavaScript, and Bash scripting.
5. Experience with API integration, microservices architecture, and system design.
6. Strong understanding of vector databases and their integration with AI models.
Good to Have (Optional - only if mentioned):
1. Experience with advanced NLP techniques and frameworks.
2. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing AI models.
3. Understanding of the performance optimization of LLMs and embedding-based systems.
4. Familiarity with CI/CD pipelines, version control systems like Git, and automation tools for model deployment and scaling.
5. Knowledge of ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
6. Certifications in AI or cloud platforms (AWS, Azure, Google Cloud).
Qualifications:
- A degree in Computer Science, Engineering, Data Science, or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Location: Bangalore or Chennai
Experience: 5-8 years
About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore, and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.
Role Summary:
Design and develop AI agent architectures and business applications using LLMs and embeddings. Integrate AI solutions with user interfaces, APIs, and vector databases. Collaborate with cross-functional teams to optimize and maintain scalable AI systems.
What Youll Do:
1. Design and develop the architecture of AI agents, ensuring seamless integration with tools, APIs, and memory systems.
2. Architect solutions for integrating user interfaces with AI-powered agents for intuitive experiences.
3. Build business applications such as chatbots, document summarizers, and virtual assistants using LLMs and embeddings.
What We re Looking For (Must Haves):
1. Strong experience in designing and building AI agent architectures.
2. Expert knowledge of AI frameworks such as LangChain, OpenAI Function Calling, AutoGen, and similar technologies.
3. Deep expertise in building and deploying business applications using LLMs and embeddings.
4. Proficiency in programming languages such as Python, JavaScript, and Bash scripting.
5. Experience with API integration, microservices architecture, and system design.
6. Strong understanding of vector databases and their integration with AI models.
Good to Have (Optional - only if mentioned):
1. Experience with advanced NLP techniques and frameworks.
2. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing AI models.
3. Understanding of the performance optimization of LLMs and embedding-based systems.
4. Familiarity with CI/CD pipelines, version control systems like Git, and automation tools for model deployment and scaling.
5. Knowledge of ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
6. Certifications in AI or cloud platforms (AWS, Azure, Google Cloud).
Qualifications:
- A degree in Computer Science, Engineering, Data Science, or a related field.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automation Toolsperformance optimizationProgrammingBusiness applicationsPythonJavascriptComputer ScienceSystem DesignGIT