1099 AI Application Development jobs in Bengaluru

Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.

Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database

AI Engineer (Full Stack + DevOps + AI Integration)

Experience Level: 1–2 years

We are looking for a junior AI Engineer with 1–2 years of experience who is eager to grow in the space of AI-assisted development . The ideal candidate should have a Full Stack engineering background with strong DevOps exposure , practical experience with LLM-based applications , and familiarity with automation tools. This role is best suited for someone who has experimented with AI tools like Codex/Clause Code in their development work and wants to build scalable AI-powered applications.

• AI-Assisted Development
• Use Clause Code, Codex, or other AI copilots while building applications.
• Implement RAG (Retrieval Augmented Generation) pipelines and work with MCP (Model Context Protocol) for AI integrations.
• Work with APIs of popular LLMs (OpenAI, Anthropic, etc.) to integrate AI features into applications.
• Full Stack Development
• Build and maintain web applications (frontend & backend).
• Work with databases, APIs, and cloud services to deliver end-to-end solutions.
• Contribute to creating responsive and AI-driven user experiences.
• DevOps & Infrastructure
• Support deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure) .
• Learn and contribute to infrastructure automation (Terraform, Pulumi).
• Assist in monitoring and scaling applications .
• Automation & Workflow Tools
• Work with n8n, Make.com, Zapier, or similar automation platforms .
• Build simple automation flows to integrate services and reduce manual tasks.
• Collaboration & Learning
• Work closely with senior engineers and product teams to deliver features.
• Document learnings, experiments, and best practices.
• Stay updated with emerging AI tools and frameworks .

• 1–2 years of experience in software development / full stack engineering .
• Basic working knowledge of DevOps practices (CI/CD, Docker, cloud deployments).
• Exposure to LLM-based development and tools such as Codex, Clause Code, or GitHub Copilot.
• Familiarity with RAG pipelines, MCP integrations , and vector databases (Pinecone, FAISS, Weaviate).
• Hands-on experience with at least one automation tool (n8n, Make.com, Zapier).
• Strong problem-solving skills and ability to work independently with AI assistance .

• Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks .
• Experience in deploying AI-powered applications in production.
• Contributions to AI/DevOps-related projects (personal or professional).

• Opportunity to work on real-world AI-first projects with mentorship.
• Hands-on exposure to cutting-edge AI tools and automation workflows .
• A growth-oriented environment with scope to advance into AI Architect / Lead Engineer roles .
• Competitive salary package with performance-based growth.

About Tavant:

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We’ll create a world of opportunities for you.

Job Title – AI Architect

Work Experience – 8 to 14 Years

Work Location – Noida/Bangalore/Pune/Hyderabad/Kolkata

Key Responsibilities

• Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
• Team Enablement and Collaboration: Work closely with various project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
• Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
• Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
• Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.

Skills and Qualifications:-

• 8-14 years of experience in software development, with proven experience as a Technical Lead/Architect or a similar senior engineering role.
• Demonstrated experience in designing, architecting, and building scalable, large-scale enterprise applications from the ground up.
• Strong hands-on experience with Generative AI technologies, including LLMs (e.g., GPT series, Claude, Llama, Mistral), vector databases, and embedding models.
• Demonstrated expertise in building and implementing RAG architectures.
• Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
• Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
• Deep understanding of the entire SDLC and agile methodologies.
• Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
• Strong communication skills to effectively collaborate with diverse technical teams.

Job Description

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Usecase derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills

Develop Cloud based applictions including LLM/GenAI and deploy them into production.

Position Title: AI Engineer

Location: Remote (work from anywhere)

Building with modern AI developer tools: Replit, Cursor, Bolt, GitHub Copilot

• Code washing & integration – refactor AI-generated code and merge cleanly into existing stacks. Spinning up Virtual Machines (VMs) to create and test new modules quickly
• End-to-end Deployment & CI/CD pipelines for production-ready code

Why Join : 100% remote – work from wherever you’re most productive

Hands-on with cutting-edge AI tooling (rare in most engineering roles)

Amazech Solutions, founded in 2007 and recognized on the 2025 Inc. 5000 list, is a fast-growing, women-owned IT consulting firm based in Texas. We specialize in cloud transformation, data & AI, digital innovation, and custom application development across industries. With a strong focus on diversity, agility, and measurable business impact, Amazech has delivered over 250 successful projects and is ISO 27001:2022 certified.

We currently provide services to a wide spectrum of clients ranging from start-ups to Fortune 500 companies. We are actively engaged in Government projects, being an SBA-approved company as well as being HUB certified by the State of Texas.

Company Description

Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health.

Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, we’ve already expanded in 5 countries across the globe.

Role Description

Are you an AI engineer with a strong technical background and a passion for solving complex real-world problems? At HEAPS, our AI team drives innovation by developing and integrating advanced machine learning and Large Language Models (LLMs) into healthcare products. We are seeking skilled AI Engineers to lead end-to-end AI initiatives—designing, fine-tuning, and deploying models that extract actionable insights from healthcare data. Your work will directly support insurance and hospital clients worldwide in improving patient care and operational outcomes through scalable AI solutions.

Responsibilities

·   Design, develop, and integrate Large Language Models (LLMs) into our healthcare product suite

·   Build and optimize AI/ML pipelines for healthcare applications

·   Lead use case development and machine learning initiatives that extract actionable insights from complex healthcare data

·   Collaborate with cross-functional teams to implement AI-driven features that enhance patient care

·   Translate complex data and model outputs into clear, impactful recommendations for stakeholders

·   Fine-tune and deploy models for healthcare-specific use cases

·   Ensure AI solutions meet healthcare compliance and security standards

Research and apply state-of-the-art AI techniques to solve challenging healthcare problems

Skills:

·   2-3 years of hands-on experience in AI/ML engineering

·   Strong proficiency in Python, TensorFlow/PyTorch, and ML frameworks

·   Experience with LLMs (GPT, BERT, LLaMA, etc.) and NLP techniques

·   Proven ability to solve complex problems with AI and communicate results crisply.

·    Knowledge of cloud platforms (AWS/Azure/GCP) and MLOps

Solid 4+ year experience in Node.js and Python and databases.

Exposure to Gen AI tools and frameworks (LangChain, Semantic Kernel, Azure AI Foundry etc.)

Understanding of machine learning concepts

Experience with Azure cloud services

Strong problem-solving and data handling skills

Familiarity with Git and collaborative development

Good communication and teamwork abilities

Hands-on experience with Generative AI frameworks like LangChain or Semantic Kernel

Exp: 6years + Location: Pan India

About the Role

As an Azure Data Scientist/AI Engineer for Agent Development you will be at the forefront of our AI initiatives transforming complex business problems into sophisticated agent-based solutions. You will work closely with cross-functional teams to understand requirements, design agent architectures, implement and optimize agentic behaviors, and ensure seamless integration and deployment on Azure.

Responsibilities

• Agent System Design Architecture: Design, develop and implement end-to-end agent-based AI systems using frameworks such as Autogen, Langgraph, and CrewAI. This includes defining agent roles, communication protocols, and task orchestration.
• Azure Platform Expertise: Leverage a wide range of Azure services including Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, and other relevant data and AI services for building, training, deploying, and managing agent solutions.
• Large Language Model (LLM) Integration: Integrate and fine-tune LLMs (e.g., GPT-x models) via Azure OpenAI within agentic workflows, focusing on prompt engineering, context management, and optimizing LLM interactions for specific tasks.
• Data Preparation & Feature Engineering: Work with diverse datasets on Azure, performing data cleaning, transformation, and feature engineering to prepare data for agent consumption and to enhance agent performance.
• Workflow Orchestration: Develop and manage complex stateful agent workflows using Langgraph for intricate decision-making processes, loops, and conditional logic.
• Multi-Agent Collaboration: Implement and optimize multi-agent collaboration strategies using Autogen to enable agents to converse, delegate tasks, and collectively solve problems.
• CrewAI Implementation: Utilize CrewAI to define and orchestrate collaborative agent crews with distinct roles, tools, and shared objectives for streamlined task execution.
• Tool Development: Develop custom tools and integrations for agents to interact with external APIs, databases, and other systems, extending their capabilities.
• Deployment (MLOps): Operationalize agent solutions on Azure including containerization (Docker, Kubernetes/AKS), setting up CI/CD pipelines, monitoring agent performance, and implementing robust MLOps practices for continuous improvement.
• Performance Optimization & Scalability: Identify and implement strategies to optimize the performance, efficiency, and scalability of agent systems on Azure.
• Research & Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and agentic AI frameworks, researching and evaluating new technologies for potential application.
• Collaboration & Communication: Work effectively with data engineers, software engineers, product managers, and business stakeholders to translate requirements into technical solutions and communicate complex concepts clearly.
• Responsible AI: Ensure the ethical development and deployment of AI agents, addressing bias, fairness, transparency, and security concerns.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. If PhD, will be good.
• Proven experience (1-2yrs) as a Data Scientist or AI Engineer with a strong focus on building and deploying machine learning or AI solutions.
• Deep expertise in Azure cloud services, specifically Azure Machine Learning, Azure OpenAI Service, Azure Databricks, Azure Functions, Azure Data Lake Storage, etc.

Required Skills

• Strong programming skills in Python, Python, PyTorch, TensorFlow, Scikit-learn.
• Hands-on experience with agent orchestration frameworks:
• Autogen: Experience in building multi-agent conversational systems and enabling dynamic collaboration.
• Langgraph: Proficiency in designing and implementing stateful graph-based agent workflows with complex logic.
• CrewAI: Experience in orchestrating role-playing autonomous AI agents for collaborative task execution.
• Solid understanding of Large Language Models (LLMs), prompt engineering, and RAG (Retrieval Augmented Generation) techniques.
• Experience with MLOps practices including CI/CD, model monitoring, and version control (Git).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience with additional programming languages or frameworks.
• Knowledge of industry-specific applications of AI.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.