What Jobs are available for Lead AI Software Engineer in India?
Showing 5000+ Lead AI Software Engineer jobs in India
Lead AI Software Engineer (Remote)
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of scalable AI/ML models and algorithms.
- Architect and build robust, efficient, and maintainable AI systems and pipelines.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Mentor and guide a team of talented AI engineers, fostering a culture of technical excellence and continuous learning.
- Conduct research into new AI technologies and methodologies, assessing their potential application.
- Optimize model performance, scalability, and deployment strategies for production environments.
- Write high-quality, well-documented code and conduct thorough code reviews.
- Troubleshoot and resolve complex technical issues related to AI systems.
- Stay up-to-date with the latest advancements in AI, machine learning, and related fields.
- Contribute to the overall technical vision and roadmap for the AI team.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of professional software engineering experience, with a significant focus on AI/ML development.
- Deep expertise in at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proven ability to lead technical projects and mentor engineering teams in a remote setting.
- Excellent problem-solving, analytical, and communication skills.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- Ability to work independently and collaboratively in a fast-paced, remote-first environment.
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AI Development Intern
Posted 20 days ago
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Job Description
Key responsibilities include:
- Supporting the research and development of machine learning models for various applications.
- Assisting in the collection, cleaning, and annotation of large datasets.
- Implementing and testing AI algorithms under the guidance of experienced professionals.
- Documenting research findings, code, and project progress.
- Collaborating with team members to troubleshoot and resolve technical challenges.
- Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
- Participating in team meetings and contributing innovative ideas.
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Gen Artificial Intelligence/ Machine Learning Engineer
Posted 9 days ago
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Job Description
Role**: Engineer
Required Technical Skill Set**Artificial Intelligence/ Machine Learning
Experience: 5 to 10 Years
Location: Hyd, Noida, Chennai, Mumbai
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.
Supervised and unsupervised ML and Predictive Analytics using Python
• Feature generation through data exploration and SME requirements
• Relational database querying
• Applying computational algorithms and statistical methods to structured and unstructured data
• Communicating results through data visualizations
Programming Languages: Python, PySpark
• Big Data Technologies: Spark with PySpark
• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)
• RBAC Maintenance for Azure roles.
• Github branching and managing
• Terraform scripting for Azure IAA
• Optional: GCP (Big Query, DataProc, Cloud Storage
Good-to-Have
Responsibility of / Expectations from the Role
Designing, developing, and deploying AI solutions on the Azure platform
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Artificial Intelligence Engineer
Posted today
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Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Contribute to the design and development of software components that enable **autonomous AI agents** to reason, plan, act, and learn.
+ Implement features that support agentic capabilities such as **tool use, memory, long-term planning, task execution** , and self-reflection.
+ Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and **agent orchestration frameworks** (e.g., LangChain, CrewAI, AutoGen).
+ Write, test, and debug Python or other backend code that powers **agent workflows** in cloud-native environments.
+ Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
+ Participate in Agile development workflows - sprint planning, code reviews, retrospectives - and collaborate across AI, product, and engineering teams.
+ Work with structured and unstructured data to support **context-aware reasoning and decision-making** in agents.
+ Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
+ Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
+ Maintain documentation of agent capabilities, system design, and integration strategies.
**What makes you a qualified candidate:**
+ 1-3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
+ Strong interest in **Agentic AI** - systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
+ Familiarity with one or more programming languages: **Python** (preferred), Go, Java, or C++.
+ Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of **prompting, embeddings, or vector databases** .
+ Basic understanding of how AI agents use tools and memory to solve complex tasks.
+ Experience with RESTful APIs, backend service design, and microservice architectures.
+ Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
+ Ability to write clean, testable code and follow best practices in code reviews and version control.
+ Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
+ Passion for learning emerging AI techniques and contributing to real-world agentic applications.
**What you will bring:**
+ BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
+ Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
+ Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
+ Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
+ Curiosity and excitement about **building intelligent systems that act autonomously and adaptively** .
+ A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
If you are interested in working with former heads of security, cloud experts and in building a game changing cloud security solution, join Invi Grid!
You will be at the forefront of building a ground breaking approach to cybersecurity. You will come to be in this space but stay for the vision, passion, growth and teamwork. You will be required to be a hands on coder so expertise in technologies mentioned is a must have.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master’s is a plus).
- Minimum 2 years of hands-on experience developing Agentic, LLM, and NLP-based applications .
- Proficient in machine learning , deep learning , and generative AI techniques.
- Experience with data preprocessing , feature engineering , and model evaluation .
- Hands-on experience with machine learning frameworks such as TensorFlow , Keras , and PyTorch .
- Strong knowledge of RAG-based models to enhance AI-driven search and retrieval systems.
- Experience deploying ML models in production environments , ensuring efficiency and scalability.
- Proficiency in programming languages such as Python , Node.js , JavaScript , and SQL .
- Experience with natural language processing (NLP) and computer vision solutions.
- Strong understanding of AI/ML algorithms , data structures , and model optimization techniques.
- Excellent analytical , problem-solving , and communication skills.
Most importantly:
- Ability to work effectively in a fast-paced dynamic startup environment and meet deadlines
- Create and maintain design documentation, including style guides, patterns and specifications.
- Stay updated on the latest advancements in AI/ML technologies, tools, and methodologies, incorporating best practices into development processes.
- Collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.
- Ability to join within 15 days
Culture: Humility, teamwork, integrity, resilienc
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Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
We’re Hiring: AI Engineer
Join one of the most exciting opportunities in the AI world!
Our client — a US-based, AI-funded startup (Series B) — is building something truly revolutionary in the field of Artificial Intelligence, and we’re looking for passionate engineers to be part of this journey.
Role: AI Engineer
Payroll: AI Funded US Startup (Series B)
Location: Hyderabad
Work Mode: Remote
Experience Required: 3+ years
Employment Type: Full-time
Working Days: Monday to Friday
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Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
About Debales AI
Debales AI builds autonomous AI Agents that seamlessly integrate into existing systems — no new dashboards, no added workflow overhead. With 100+ integrations and 80+ specialized AI Agents, we streamline high-volume operations across Logistics, E-Commerce, and Education, helping teams scale efficiency without scaling headcount.
Role Overview
We're looking for a Full-Time AI Developer to design, build, and deploy AI Agents into production environments. You'll work directly on LangGraph / LangChain-based pipelines and play a key role in architecting multi-agent systems that interact with real customer data and workflows.
This role is ideal for someone who loves hands-on building, fast iteration, and ownership.
Key Responsibilities
- Architect and develop LLM-based multi-agent workflows.
- Deploy and maintain AI Agents in live production environments.
- Integrate Agents with 3rd-party systems and internal APIs.
- Improve model performance using evaluation + observability tooling.
- Collaborate with engineering + product teams to ship fast.
Required Qualifications
- Experience deploying AI Agents in production (critical requirement).
- Minimum 1 year experience building AI applications or workflows.
- Hands-on experience with LangGraph and LangChain.
- Strong understanding of LLM application architecture, state handling, and tool-calling.
- Experience with RAG, embeddings, vector databases, and NLP pipelines.
- Familiarity with AI observability tools (e.g., Langfuse, Phoenix, OpenTelemetry, W&B, Honeycomb).
- Proficient in Python for backend and orchestration.
- Strong problem-solving skills, self-directed, comfortable in fast-paced environments.
Location - Work from Home
Salary - Rs. per month (in hand)
Nice to Have
- Experience with Docker / containerized deployments.
- Background integrating with APIs and enterprise systems.
- Understanding of structured evaluation and testing frameworks for LLM applications.
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Artificial Intelligence Consultant
Posted 3 days ago
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Job Description
SAARTEK works with Telecom operators, vendors, and other businesses globally to expertly obtain the environmental and planning approvals needed to move projects from the conceptual stage to physical, benefit-generating reality in an efficient and cost-effective manner. With hands-on experience from hundreds of thousands of successful wireless implementations, SAARTEK guides clients from the best practices of today to the better practices of tomorrow. We provide services from wireless consulting to design, dimensioning, testing, optimization, and deployment. Our markets include MNOs, MSOs, Network OEMs, Infrastructure, Venues, SMB & Enterprise, Partners, Satellite, Media, and Auto. We build better broadband networks for the globe.
Role Description
This is a full-time, on-site role for an Artificial Intelligence Consultant located in Noida. The Artificial Intelligence Consultant will be responsible for conducting data analysis, pattern recognition, and implementing machine learning solutions. Daily tasks include providing consultancy to clients, applying natural language processing (NLP) techniques, and conducting data science research to develop AI strategies that drive business success. The consultant will also collaborate with cross-functional teams to optimize and deploy AI technologies.
Qualifications
- Skills in Pattern Recognition and Machine Learning
- Experience in Consulting and providing strategic insights
- Proficiency in Data Science and conducting comprehensive data analysis
- Knowledge of Natural Language Processing (NLP)
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Experience in the telecom industry is a plus
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Artificial Intelligence Engineer
Posted 3 days ago
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Job Description
We are seeking a highly specialized and results-driven AI Automation Engineer to join our fast-moving team. You will be the architect of our internal and client-facing workflows, leveraging a powerful stack of no-code/low-code tools and custom code to eliminate manual work, integrate core business systems, and implement intelligent AI agents.
This is a high-impact role for an expert who can not only build but also design highly reliable, scalable, and complex automated systems.
What You'll Be Building (Key Responsibilities)- End-to-End Workflow Architecture: Design, build, and maintain complex automation pipelines, primarily using n8n (and sometimes Zapier ) for optimal performance and customizability.
- Intelligent AI Integration: Integrate and orchestrate AI models (LLMs) within workflows for tasks such as lead qualification, dynamic email generation, data analysis, and decision support.
- Custom Scripting & APIS: Utilize Python to write custom API connectors, perform advanced data cleaning/transformation, and extend the functionality of no-code platforms.
- CRM & Data System Mastery: Implement robust data synchronizations between core tools, including deep automation and setup within GoHighLevel (GHL) for marketing and sales, and structured data management in Airtable .
- System Reliability: Implement rigorous error handling, logging, and monitoring across all automation to ensure 99.9% uptime and data integrity.
- Process Mapping: Collaborate with stakeholders to map existing business processes and identify high-leverage opportunities for AI-powered automation.
If you do not have expert-level experience in all five of these, please do not apply.
- n8n (Expert Level): Core platform for complex workflow orchestration.
- Python: For advanced scripting, custom API calls, and data manipulation.
- GoHighLevel (GHL): Setting up funnels, triggers, campaigns, and lead flow automation.
- Airtable: Advanced base design, automation, scripting, and external tool integration.
- Zapier: Experience with building and migrating workflows, and managing Zapier integration logic.
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Artificial Intelligence Engineer
Posted 3 days ago
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Job Description
Role Overview:
We are seeking an experienced AI Engineer with a strong background in Natural Language Processing (NLP), Machine Learning (ML) and Large Language Models (LLMs). The ideal candidate will have hands-on expertise with modern AI frameworks, vector databases and cloud based ML platforms with a focus on building and deploying scalable high performing solutions.
Key Responsibilities:
- Design, develop and deploy NLP and ML models for real world applications.
- Work extensively with LLM frameworks, Hugging Face Transformers, LangChain Lama Index, OpenAI API, Vertex AI.
- Fine tune large language models embeddings and optimize vector search using FAISS, Pinecone, Weaviate, Milvus or Vertex AI Matching Engine.
- Perform data preprocessing statistical analysis and experiment design to validate models.
- Collaborate with cross functional teams engineering product business to deliver AI driven solutions.
- Leverage cloud ML platforms GCP preferred to build and scale production grade ML pipelines.
- Continuously research and adopt state of the art techniques in NLP ML and LLMs.
Required Skills and Qualification:
- Proven experience as a Data Scientist having 6-9 years of experience with a strong focus on NLP and ML.
- Hands-on experience with LLM frameworks and libraries - Hugging Face Transformers, LangChain, LamaIndex, OpenAI API and Vertex AI.
- Strong programming skills in Python with ML AI libraries - PyTorch, TensorFlow and Scikit learn.
- Experience in fine tuning LLMs embeddings and vector databases - FAISS Pinecone, Weaviate, Milvus, Vertex AI Matching Engine.
- Proficiency in data analysis statistics and experiment design.
- Strong understanding of cloud ML platforms - GCP preferred.
- Excellent problem solving analytical and communication skills.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent collaboration abilities.
Good to Have Skills:
- Exposure to MLOps practices - CI CD for ML monitoring deployment.
- Experience with other cloud platforms - AWS and Azure.
- Knowledge of reinforcement learning and generative AI applications.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment with opportunities for career development.
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