15,975 AI Team Lead jobs in India

Key Responsibilities (State the primary duties and tasks of the position)

• Build AI projects related to temporal data analytics, geospatial analytics, including processing and analyzing satellite, drone, and LiDAR imagery.
• Lead model development for object detection, image segmentation, classification, and change detection in spatial data.
• Collaborate with GIS, remote sensing, and engineering teams to understand data pipelines and build AI integration pipelines and points.
• Create and deploy deep learning models suited for geospatial data.
• Apply preprocessing and normalization pipelines tailored to varied image resolutions and sensor types.
• Engage in end-to-end MLOps workflows for continuous integration, deployment, and monitoring of AI models.
• Exposure of annotation, data labelling strategies implementation for geospatial datasets.
• Learn and implement emerging trends in remote sensing AI, edge AI for drones, and LiDAR analytics.

Experience: 5 to 7 years

Location: Bengaluru, Gurgaon, Pune

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:

We are seeking a Lead AI Developer who will be responsible for building next-generation intelligent automation and conversational AI solutions. The ideal candidate will be hands-on with LLM-based development, Retrieval-Augmented Generation (RAG), vector databases, and custom ingestion/retrieval pipelines for unstructured and structured data. This role requires a blend of strong communication skills, deep technical expertise (Python, SQL, n8n, LLMs, DevOps), and a problem-solver mindset. You will lead projects end-to-end—from architecture and development to deployment and optimization—while mentoring a small team of AI engineers.

Key Responsibilities:

* Lead the design, development, and deployment of AI-powered applications leveraging LLMs (e.g., OpenAI, Anthropic), RAG pipelines, n8n, and chatbot frameworks.

* Architect scalable RAG ingestion and retrieval pipelines for unstructured data (e.g., documents, PDFs, SQL databases) and structured data, ensuring efficiency and accuracy.

* Apply advanced techniques such as Context-Aware Generation (CAG), re-ranking, hybrid search, and indexing strategies to handle complex real-world data scenarios.

* Enable runtime SQL query generation using AI to work with structured datasets and integrate results seamlessly into applications.

* Guide and mentor a small AI development team, ensuring high standards in code quality, collaboration, and delivery.

* Collaborate with product managers, designers, and backend teams to integrate intelligent features into business solutions.

* Review and improve machine learning models for scalability, reliability, and real-world applicability.

* Oversee integration of AI modules with APIs, external systems, and enterprise tools.

* Own troubleshooting, debugging, and performance tuning of AI solutions in production environments.

* Continuously enhance workflows, automation, DevOps practices, and technical documentation.

Role Requirements and Qualifications:

* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

* 5+ years of software development experience, with at least 2 years in AI/ML, chatbots, or LLM-based application development.

* Proven hands-on expertise in LLM-based applications, RAG workflows, vector databases, and custom ingestion pipelines.

* Experience handling mixed data types (structured, semi-structured, unstructured), including documents with embedded structured data.

* Strong programming skills in Python and SQL, with the ability to generate runtime SQL queries using AI.

* Solid experience with n8n workflows, chatbot frameworks, and low-code/no-code automation platforms.

* Prior leadership experience in managing small technical teams and reviewing architecture.

* Familiarity with DevOps practices, RESTful APIs, and cloud environments (AWS, GCP, Azure).

* Excellent communication skills with the ability to explain complex technical concepts clearly.

* A problem-solver mindset with the ability to experiment, debug, and adapt solutions in dynamic environments.

Why Join Us:

* Work on transformative AI projects with leading global clients across industries.

*Exposure to cutting-edge technologies including LLMs, RAG, automation, and cloud-native AI.

* Competitive compensation, benefits, ESOPs, and opportunities for international exposure.

* Strong investment in employee growth through upskilling and career development.

* Open and collaborative culture with focus on innovation, transparency, and employee well-being.

Level – B3/C1

No. of positions – 2

Please send your resume to the following email address along with Job Title as the subject line to

Level – B3/C1

No. of positions – 2

Please send your resume to the following email address along with Job Title as the subject line to

Key Responsibilities (State the primary duties and tasks of the position)

• Build AI projects related to temporal data analytics, geospatial analytics, including processing and analyzing satellite, drone, and LiDAR imagery.
• Lead model development for object detection, image segmentation, classification, and change detection in spatial data.
• Collaborate with GIS, remote sensing, and engineering teams to understand data pipelines and build AI integration pipelines and points.
• Create and deploy deep learning models suited for geospatial data.
• Apply preprocessing and normalization pipelines tailored to varied image resolutions and sensor types.
• Engage in end-to-end MLOps workflows for continuous integration, deployment, and monitoring of AI models.
• Exposure of annotation, data labelling strategies implementation for geospatial datasets.
• Learn and implement emerging trends in remote sensing AI, edge AI for drones, and LiDAR analytics.

Experience: 5 to 7 years

Location: Bengaluru, Gurgaon, Pune

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:

We are seeking a Lead AI Developer who will be responsible for building next-generation intelligent automation and conversational AI solutions. The ideal candidate will be hands-on with LLM-based development, Retrieval-Augmented Generation (RAG), vector databases, and custom ingestion/retrieval pipelines for unstructured and structured data. This role requires a blend of strong communication skills, deep technical expertise (Python, SQL, n8n, LLMs, DevOps), and a problem-solver mindset. You will lead projects end-to-end—from architecture and development to deployment and optimization—while mentoring a small team of AI engineers.

Key Responsibilities:

* Lead the design, development, and deployment of AI-powered applications leveraging LLMs (e.g., OpenAI, Anthropic), RAG pipelines, n8n, and chatbot frameworks.

* Architect scalable RAG ingestion and retrieval pipelines for unstructured data (e.g., documents, PDFs, SQL databases) and structured data, ensuring efficiency and accuracy.

* Apply advanced techniques such as Context-Aware Generation (CAG), re-ranking, hybrid search, and indexing strategies to handle complex real-world data scenarios.

* Enable runtime SQL query generation using AI to work with structured datasets and integrate results seamlessly into applications.

* Guide and mentor a small AI development team, ensuring high standards in code quality, collaboration, and delivery.

* Collaborate with product managers, designers, and backend teams to integrate intelligent features into business solutions.

* Review and improve machine learning models for scalability, reliability, and real-world applicability.

* Oversee integration of AI modules with APIs, external systems, and enterprise tools.

* Own troubleshooting, debugging, and performance tuning of AI solutions in production environments.

* Continuously enhance workflows, automation, DevOps practices, and technical documentation.

Role Requirements and Qualifications:

* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

* 5+ years of software development experience, with at least 2 years in AI/ML, chatbots, or LLM-based application development.

* Proven hands-on expertise in LLM-based applications, RAG workflows, vector databases, and custom ingestion pipelines.

* Experience handling mixed data types (structured, semi-structured, unstructured), including documents with embedded structured data.

* Strong programming skills in Python and SQL, with the ability to generate runtime SQL queries using AI.

* Solid experience with n8n workflows, chatbot frameworks, and low-code/no-code automation platforms.

* Prior leadership experience in managing small technical teams and reviewing architecture.

* Familiarity with DevOps practices, RESTful APIs, and cloud environments (AWS, GCP, Azure).

* Excellent communication skills with the ability to explain complex technical concepts clearly.

* A problem-solver mindset with the ability to experiment, debug, and adapt solutions in dynamic environments.

Why Join Us:

* Work on transformative AI projects with leading global clients across industries.

*Exposure to cutting-edge technologies including LLMs, RAG, automation, and cloud-native AI.

* Competitive compensation, benefits, ESOPs, and opportunities for international exposure.

* Strong investment in employee growth through upskilling and career development.

* Open and collaborative culture with focus on innovation, transparency, and employee well-being.