Lab45 - AI-ML Engineer

Job Description

Job Title: AI/ML Engineer

Location: Bangalore

Job Type: Full-Time

Introduction: We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation.

Key Responsibilities:

• Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities.
• Implement and optimize LangChain for efficient language model chaining and application.
• Manage and manipulate data using vector databases to enhance model performance and scalability.
• Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions.
• Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines.
• Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions.
• Write clean, manageable code and maintain proper documentation.
• Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration.
• Ensure the performance, quality, and responsiveness of applications.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Proven experience (5+ years) as an Software Engineer with a focus on backend development.
• Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML.
• Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone.
• Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts.
• Excellent skills in software design, data structures, and algorithms.
• Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.

Preferred Skills:

• Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

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Job Title: AI/ML Engineer

Location: Bangalore

Job Type: Full-Time

Introduction: We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation.

Key Responsibilities:

• Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities.
• Implement and optimize LangChain for efficient language model chaining and application.
• Manage and manipulate data using vector databases to enhance model performance and scalability.
• Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions.
• Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines.
• Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions.
• Write clean, manageable code and maintain proper documentation.
• Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration.
• Ensure the performance, quality, and responsiveness of applications.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Proven experience (5+ years) as an Software Engineer with a focus on backend development.
• Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML.
• Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone.
• Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts.
• Excellent skills in software design, data structures, and algorithms.
• Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.

Preferred Skills:

• Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

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2. Provide customer support and problem solving from time to time

• Perform defect fixing raised by the client or software integration team while solving the tickets raised
• Develop software verification plans and quality assurance procedures for the customer
• Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency
• Deploy programs and evaluate user feedback for adequate resolution with customer satisfaction
• Comply with project plans and industry standards

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3. Ensure reporting & documentation for the client

• Ensure weekly, monthly status reports for the clients as per requirements
• Maintain documents and create a repository of all design changes, recommendations etc
• Maintain time-sheets for the clients
• Providing written knowledge transfer/ history of the project

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Deliver

No.	Performance Parameter	Measure
1.	Design and develop solutions	Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput %
2.	Quality & CSAT	On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation
3.	MIS & Reporting	100% on time MIS & report generation