CrawlJobs Logo

Senior Applied AI Developer

India · Job Posted January 18, 2026
Apply Position
Job Link Share

Job Description

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact. Together, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net. Our customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to make quick, data-driven decisions to deliver cutting-edge solutions.

Job Responsibility

  • Develop and maintain ML engineering platforms and reusable components
  • Deploy ML models and implement feedback loops to monitor and improve their performance in production
  • Build robust, testable, and scalable code that meets high quality standards and accounts for potential edge cases
  • Collaborate with client-facing teams to gather technical requirements and align solutions with business needs
  • Participate in agile development ceremonies (e.g., scrum meetings) and clearly communicate progress, blockers, and dependencies
  • Contribute to code reviews, version control practices, and bug tracking processes
  • Conduct research and develop prototypes to evaluate emerging tools, frameworks, and architectures

Requirements

  • 5+ years of practical experience in Machine Learning
  • Solid understanding of ML and Deep Learning fundamentals, including model fine-tuning (especially LLMs)
  • Proficient in Python
  • experience with PySpark or Scala is a plus
  • Background in backend API development and working with vector databases
  • Experience with ML Ops practices such as model monitoring, tracking KPIs, and managing model drift (preferably using MLflow)
  • Hands-on experience with NLP or computer vision projects
  • Familiarity with ML frameworks such as Keras or HuggingFace
  • Experience in building feature engineering pipelines, inference workflows, and deploying models for real-time predictions

Nice to have

  • Exposure to Big Data systems and data engineering practices
  • Knowledge of cloud platforms and architecture, with an understanding of CI/CD pipelines and DevOps practices
  • Awareness of modern AI/ML trends, especially in Generative AI and Large Language Models
  • Experience designing scalable ML systems that handle large datasets and meet strict performance SLAs

What we offer

  • Awesome projects with an impact
  • Udemy courses of your choice
  • Team-buildings, events, marathons & charity activities to connect and recharge
  • Workshops, trainings, expert knowledge-sharing that keep you growing
  • Clear career path
  • Absence days for work-life balance
  • Flexible hours & work setup - work from anywhere and organize your day your way

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Applied AI Developer

8 matching positions

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
infogrowth.in Logo
InfoGrowth
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering, machine learning, or AI-related roles
  • Strong experience with Python (required)
  • familiarity with JavaScript/TypeScript is a plus
  • Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
  • Experience building production-grade APIs and services
  • Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Solid understanding of data structures, algorithms, and system design
  • Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)
Job Responsibility
Job Responsibility
  • Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
  • Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
  • Integrate AI systems with APIs, databases, tools, and third-party services
  • Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
  • Lead end-to-end AI projects from concept to production
  • Collaborate closely with product managers, designers, and backend teams
  • Establish best practices for AI safety, evaluation, monitoring, and governance
  • Mentor junior engineers and conduct technical reviews
  • Fulltime
Read More
Arrow Right

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture

Are you passionate about using data science to transform how businesses understa...
Location
Location
United States , Seattle; New York
Salary
Salary:
167100.00 - 248700.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
  • 5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
  • 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
  • PhD, or PhD and 4+ years of designing experiments and statistical analysis of results experience
  • Experience in A/B testing
  • Proficiency in Python and SQL
  • experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
  • Track record of delivering end-to-end data science solutions from problem definition through production deployment
Job Responsibility
Job Responsibility
  • Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements and business decisions
  • Work directly with customers during production pilots to design, build, and deploy AI solutions that demonstrate measurable business value
  • Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes
  • Build ROI models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic
  • Develop and maintain forecasting systems for demand prediction, capacity planning, and workforce optimization
  • Develop and apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale
  • Partner with applied scientists and software engineers to productionize models, ensuring reliability, monitoring, and operational excellence
  • Enable AI Velocity teams with reusable analytical assets, diagnostic notebooks, and scalable tooling that accelerate customer engagements
  • Build benchmarking studies and optimization frameworks that demonstrate value across customer cohorts
  • Own success metrics and create mechanisms to measure model performance, adoption, and business impact
What we offer
What we offer
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right

Senior Applied AI Full-Stack Engineer

Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years' hands-on experience with Java and Spring Boot for building scalable microservices, and Angular 16+, TypeScript, JavaScript, HTML5, JSON, CSS, Web Sockets, and Ajax
  • Proven experience designing large-scale internet/intranet platforms using microservices architecture
  • Strong fundamentals in systems analysis, design patterns, and SDLC, including unit testing and CI/CD practices
  • Ability to produce high-level and low-level design artefacts (sequence diagrams, class diagrams)
  • Proficiency in Python for scripting, automation, or AI-adjacent tooling
  • Hands-on experience with MongoDB
  • solid understanding of modern database design and data modelling
  • Good understanding of message brokers
  • Kafka experience highly desirable
  • Demonstrated, hands-on proficiency with AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent)
Job Responsibility
Job Responsibility
  • Design and build large-scale internet/intranet web application platforms on microservices architecture, owning decisions across the full stack — from Angular frontends to Java/Spring Boot backends and MongoDB data layer
  • Lead system design at both high and low levels, producing artefacts such as sequence diagrams, class diagrams, and data models, while ensuring security, scalability, and performance are built in from the start
  • Leverage AI coding agents (e.g., Claude Code, Cursor, Devin) for code generation, debugging, and routine tasks
  • engineering high-quality context (repository structure, API specs, Jira tickets) to maximize the accuracy and reliability of AI output
  • Critically review, validate, and take ownership of all AI-generated code ensuring structural integrity, security compliance, and production readiness before anything reaches deployment
  • Integrate agentic workflows into CI/CD pipelines
  • manage multiple workstreams concurrently through intelligent delegation to AI agents
  • Act as a player/coach within small, co-located squads — hands-on in delivery while actively upskilling junior engineers to become effective AI-first practitioners
  • Apply a strong functional understanding of Corporate Banking to ensure solutions address real business outcomes, not just technical requirements
  • Fulltime
Read More
Arrow Right

Senior Applied Ai Engineer - Multimodal Transformers

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ...
Location
Location
United States , Mountain View
Salary
Salary:
200000.00 - 260000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in AI, Computer Science, or a related field
  • 4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings
  • Familiarity with cross-attention, token fusion, or modality alignment techniques
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
  • Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world
Job Responsibility
Job Responsibility
  • Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
  • Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
  • Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
  • Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
  • Optimize transformer models for real-time inference under latency and compute constraints
What we offer
What we offer
  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Senior Developer, AI Code Modernization

Bentley Systems is seeking a talented AI Systems Modernization Developer to beco...
Location
Location
Canada , Quebec
Salary
Salary:
Not provided
bentley.com Logo
Bentley Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experiences in pipelines creation and cloud services
  • Strong interest in AI applied to software development and code transformation
  • Strong problem-solving capabilities
  • Results oriented mindset
  • Capability to research new topics and learn quickly
  • Experience breaking down complex systems for analysis
  • Experience designing, deploying, and operating cloud native services, particularly when modernizing legacy or compute intensive systems
Job Responsibility
Job Responsibility
  • Create and monitor an AI code modernization pipeline
  • Develop tools and automation supporting the team’s responsibilities
  • Create rigorous and hardened test suites to ensure that converted code is accurate
  • Continuous research and continuous improvement of AI workflows to ensure best in class automated code conversion and modernization
  • Continuously monitor conversion speed against cost and quality, and optimize tradeoffs accordingly
  • Train developers and/or create educational supports
  • Fulltime
Read More
Arrow Right

Senior Applied AI Scientist

As a Senior Applied AI Scientist, you’ll have the opportunity to develop innovat...
Location
Location
Canada , Quebec
Salary
Salary:
Not provided
bentley.com Logo
Bentley Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BSc, MSc, or PhD in machine learning or a related specialty
  • at least 6 years of experience doing research and development in machine learning - including deep learning and advanced techniques
  • Experience with Large Language Models, RAG, and Copilot systems
  • Experience in practical machine learning applications and development
  • Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges
  • Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Strong problem-solving capabilities using various technologies
  • Capability to research a new topic and to learn quickly
  • Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired
  • Fluent in English
Job Responsibility
Job Responsibility
  • Develop AI/ML algorithms and models using accepted best practices
  • Analyze user challenges, workflows, and use cases
  • Keep yourself up to date with the relevant research and scientific literature
  • Provide a technological watch over various areas of AI/ML
  • Assist in data acquisition from various sources
  • Analyze data integrity and quality
  • Develop data cleaning strategies and prepare training datasets
  • Measure model performance and resilience
  • Prepare reports and presentations on results
  • Present results to peers, internal stakeholders, and users
What we offer
What we offer
  • A great Team and culture
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
  • An attractive salary and benefits package
  • A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups
  • A company committed to making a real difference by advancing the world’s infrastructure for a better quality of life
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

As an Senior Applied AI Engineer for CXA, you will play a pivotal role in advanc...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 1+ years of experience working with machine learning libraries to solve real world AI/ML problems
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check
  • Strong 7+ software engineering skills, including hands‑on development experience in C# and Python for building scalable, high‑performance, and production‑ready systems
  • Experience in working with Generative AI models and ML stacks
  • Experience across the product lifecycle from ideation to shipping
Job Responsibility
Job Responsibility
  • Build collaborative relationships with product and business groups to deliver AI-driven impact
  • Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • Fine-tune foundation models using domain-specific datasets
  • Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
  • Apply strong software engineering skills in languages such as C# and Python to design, develop, and optimize scalable, reliable, and maintainable AI‑driven systems
  • Develop LLM prompts, agents, and query execution workflows, often with tight latency constraints
  • Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
  • Contribute to papers, patents, and conference presentations
  • Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
  • Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
  • PhD in engineering, applied math, statistics, or related analytical field.
  • 2+ years shipping production-level code, models, or data analysis.
  • 1+ years using AI-assisted coding and analysis techniques.
  • Solid grasp of deep learning: loss functions, optimization, regularization, training stability
  • Experience deploying ML models at scale (inference optimization, quantization, distillation)
  • Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
  • Experience working on small teams and mid-stage startup environments.
  • Experience working on AI products.
Job Responsibility
Job Responsibility
  • Model Development & Training
  • Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
  • Implement and adapt techniques from research papers into working production systems
  • Design and run experiments to improve image quality, diversity, and controllability
  • Curate, clean, and manage large-scale image-text training datasets
  • Evaluation, Hillclimbing & Quality Systems
  • Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
  • Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
  • Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
  • LLM Tooling & Internal Infrastructure
  • Fulltime
Read More
Arrow Right