Senior AI Engineer (AI Agents & Applied LLMs) Job at InfoGrowth (Bengaluru)

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...

Location

United States , San Francisco; New York City; Austin

Salary:

227000.00 - 294600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

10+ years of experience in integrations, software development, or systems engineering
Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
Solid understanding of integration security, data governance, and compliance practices
Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
Experience with data formats like JSON and XML and data transformation techniques

Job Responsibility

Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
Champion Airtable AI internally by building production-ready AI automations
Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
Document technical designs, maintain reusable components, and share best practices for future expansion
Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
Champion best practices that keep our integration layer reliable, maintainable, and future-ready

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience in backend software development
3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

health coverage
paid volunteer days
wellness resources

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience in backend software development
3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience in backend software development
3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

health coverage
paid volunteer days
wellness resources

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

New

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
8+ years of professional software development experience with at least one of the following: C#, C++, or Java
8+ years of professional experience building cloud applications, preferably full stack
3+ years of experience with GenAI, LLMs, or agentic systems
Experience designing and implementing enterprise-scale services
Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
Experience in agentic AI development and leveraging AI tools for development
Verbal, written, and cross-team collaboration skills

Job Responsibility

Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

Fulltime