OpenAI Applied AI Engineer – Delhi, Mumbai & Bangalore | Full Time
OpenAI is hiring an Applied AI Engineer in India for its Go To Market organization. The role can be based in Delhi, Mumbai or Bangalore and follows a hybrid work model with three days in the office per week.
This is a hands-on engineering position focused on helping enterprise customers design, build and deploy AI systems in production. The role combines software engineering, AI/ML systems, customer engagement, architecture, evaluation and production deployment.
Candidates will work directly with organizations to identify valuable AI use cases, create technical architectures, build prototypes, develop evaluation systems, solve complex integrations and move AI applications from experimentation to reliable production systems.
The role requires strong Python skills and demonstrated experience building and delivering AI or machine-learning systems in enterprise environments.
OpenAI Applied AI Engineer – Overview
| Particular | Details |
|---|---|
| Company | OpenAI |
| Position | Applied AI Engineer |
| Department | Go To Market |
| Employment Type | Full time |
| Locations | Delhi, Mumbai, Bangalore |
| Location Type | Hybrid |
| Office Requirement | 3 days per week |
| Relocation Assistance | Available |
| Primary Language | Python |
| Experience | Demonstrated enterprise AI/ML production experience |
| Key Areas | AI systems, software engineering, evaluation, integrations, production deployment |
| Salary | Not specified in the supplied listing |
| Application Deadline | Not specified |
| Selection Process | Not specified |
About the OpenAI Applied AI Engineer Role
The Applied AI Engineering team helps organizations turn advanced AI capabilities into production systems that are reliable, secure and useful in real-world environments.
The role goes beyond demonstrating an AI prototype. Engineers are expected to help customers progress from use-case selection and architecture through prototyping, evaluation, production launch and scale.
This requires a combination of:
- Hands-on coding
- AI system design
- Technical architecture
- Customer collaboration
- Evaluation
- Debugging
- Production engineering
- Security and governance
- Reliability and observability
OpenAI’s careers site currently lists Applied AI Engineer positions across multiple regions and teams, reflecting the company’s broader focus on deploying AI systems with customers.
Key Responsibilities
Work With Enterprise Customers
The engineer will partner directly with enterprise customers to identify high-value AI opportunities.
Responsibilities include translating business requirements into:
- Technical architectures
- Implementation plans
- Evaluation strategies
- Measurable success criteria
The role requires communicating effectively with both technical and business stakeholders.
Build and Deploy AI Systems
Engineers will design, build and deploy AI systems intended to solve real customer problems.
The work can include moving applications from an initial prototype to production systems capable of supporting sustained customer use.
Write Production Code
This is a hands-on engineering role.
The engineer will work directly in code to build:
- Prototypes
- Evaluation harnesses
- Reference implementations
- Integrations
- Production accelerators
Candidates are expected to make meaningful technical contributions rather than focusing only on project or stakeholder management.
Evaluate AI Systems
Systematic evaluation is an important part of the role.
Engineers will develop evaluation approaches using:
- Representative data
- Graders
- Production signals
- Human judgment
The objective is to understand whether AI systems are performing reliably in real-world conditions.
Solve Complex Technical Problems
The position involves diagnosing difficult implementation issues, reproducing failures and testing hypotheses.
Engineers will be expected to identify blockers and drive them toward resolution.
Technical Areas Covered
The role spans a broad AI application stack.
Candidates may work across:
- AI models
- Agents
- Retrieval
- Tools
- Data
- Integrations
- Reliability
- Observability
- Latency
- Cost
- Safety
- Security
- Governance
The exact technologies used can vary depending on the customer deployment.
Enterprise Production Engineering
A major focus of the role is dealing with the requirements that arise when AI systems move into enterprise production environments.
Candidates should understand areas such as:
Integrations
Enterprise AI systems often need to connect with existing applications, data sources and technical infrastructure. The engineer will help resolve these integration requirements.
Reliability and Observability
Production systems need to be monitored and operated reliably. The role includes making technical decisions around reliability and observability.
Security and Privacy
Enterprise deployments can involve sensitive data and organizational security requirements. Candidates should have experience navigating security and privacy considerations.
Performance and Cost
Engineers will also consider factors such as latency and cost when making technical decisions about deployed AI systems.
Governance
The role requires awareness of enterprise governance requirements when deploying AI systems at scale.
Eligibility and Experience
The job description does not specify a particular degree, graduation year or CGPA.
Instead, the key requirement is a demonstrated track record of designing, building and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
Relevant professional backgrounds may include:
- Applied AI engineering
- Machine learning engineering
- Forward-deployed engineering
- Software engineering
- Customer engineering
- Solutions architecture
- Technical consulting
Candidates should be able to demonstrate substantial personal contributions in areas such as coding, architecture, evaluation, debugging or production engineering.
The role is therefore not presented as an entry-level or fresher position.
Programming Skills
Python proficiency is specifically required.
Candidates should be comfortable working across an AI application stack.
Experience with other programming languages such as:
- JavaScript
- TypeScript
- Other relevant languages
is considered valuable.
AI Evaluation Skills
Candidates should understand how to evaluate AI systems systematically.
This includes working with:
- Representative datasets
- Automated or structured graders
- Production signals
- Human evaluation
The ability to assess AI system performance beyond a successful demonstration is an important part of the role.
Customer and Communication Skills
Because the position involves direct enterprise engagement, technical communication is a major component.
The engineer may interact with:
- Hands-on engineers
- Technical leaders
- Security teams
- Product leaders
- Executives
- Customer stakeholders
Candidates should be able to explain technical decisions clearly while connecting them to customer workflows, adoption and measurable business outcomes.
Ownership and Problem-Solving
The role calls for:
- High agency
- Strong technical judgment
- End-to-end ownership
- Fast learning
- Constructive questioning of assumptions
- Collaboration
- Humility in working with others
Candidates should be comfortable operating in ambiguous environments where the technical approach may evolve as customer requirements and deployment constraints become clearer.
Work Location and Hybrid Policy
The position can be based in:
- Delhi
- Mumbai
- Bangalore
The supplied listing specifies a hybrid work model with three days in the office per week.
OpenAI also states that relocation assistance is available to new employees for this role.
The listing does not specify the exact office location within each city.
Is Prior OpenAI Experience Required?
No.
The job description explicitly states that experience with a particular industry or with OpenAI products is not required.
The focus is on demonstrated technical experience building and deploying AI/ML systems and the ability to work effectively with enterprise customers.
What Makes This Role Different From a Typical AI Engineer Position?
The position combines several responsibilities that are often separated across different engineering roles.
An Applied AI Engineer at OpenAI may be involved in:
- Understanding a customer’s business problem.
- Selecting an appropriate AI use case.
- Designing the technical architecture.
- Building a prototype.
- Developing evaluation systems.
- Debugging integrations.
- Preparing the system for production.
- Monitoring reliability and performance.
- Supporting adoption and scale.
- Turning deployment lessons into reusable engineering patterns.
The role therefore combines AI engineering and customer-facing technical work.
Career Exposure
The role provides exposure to enterprise AI deployments where technical decisions have direct implications for production systems and customer outcomes.
Engineers will also collaborate with OpenAI’s:
- Product teams
- Research teams
- Engineering teams
- Security teams
- Go-to-market teams
Deployment experience is intended to feed back into product development and reusable architectures.
OpenAI’s current careers listings show Applied AI Engineering and Technical Success roles spanning enterprise, startups, digital natives and specialized areas, reflecting the broader organizational focus on applied AI deployment.
Salary and Benefits
The supplied job description does not provide a salary range for this position.
It does specify relocation assistance for new employees.
Other role-specific compensation and benefits details are not included in the supplied listing.
Frequently Asked Questions
What is the OpenAI Applied AI Engineer role?
It is a full-time, customer-facing engineering role focused on designing, building and deploying AI systems for enterprise customers.
Where is the role located?
The position can be based in Delhi, Mumbai or Bangalore.
Is the role remote?
The listing describes it as hybrid, with three days per week in the office.
Is relocation assistance available?
Yes. The supplied listing states that OpenAI offers relocation assistance to new employees.
What programming language is required?
Python proficiency is specifically required. JavaScript, TypeScript or another relevant language is valuable.
Is this an entry-level role?
No specific entry-level designation is given. The position requires a demonstrated track record of designing, building and delivering AI/ML systems in enterprise environments, including production deployment.
Is enterprise experience required?
Yes. The job description specifically asks for experience delivering AI or machine-learning systems in enterprise environments.
Is prior OpenAI product experience required?
No. The listing states that experience with OpenAI products is not required.
What kind of AI work is involved?
The role can involve models, agents, retrieval, tools, data, evaluation, integrations, reliability, observability, latency, cost, safety, security and governance.
Does the role involve customer interaction?
Yes. Engineers will work directly with enterprise customers and communicate with engineering, security, product and executive stakeholders.
Is the salary disclosed?
No salary range is specified in the supplied listing.
What is the selection process?
A detailed selection process is not specified in the supplied job description.