Forward Deployed AI Engineer -Leadership Track Paid Internship-to-Employment Program

Forward Deployed AI Engineer -Leadership Track Paid Internship-to-Employment Program
Company: Bompix Mori Technologies Private Limited
Experience: Approximately 1 year of relevant experience preferred
Internship duration: Up to 6 months
Stipend: ₹25,000 fixed per month
Work arrangement: Fully remote during the internship period
Working hours: Approximately 45 hours per week
Joining: Immediate joiners preferred
Conversion: Potential conversion to a permanent full-time role based on performance
About the role
We are looking for a hands-on Forward Deployed AI Engineer with approximately one year of relevant experience in artificial intelligence, machine learning, full-stack development, cloud deployment, or software engineering.
This is a paid, fully remote internship-to-employment opportunity for candidates who want to build and deploy real-world AI applications. You will work with customers and internal teams to understand business requirements, design AI-powered solutions, develop full-stack applications, and deploy them in practical environments.
Forward Deployed Engineers work at the intersection of software engineering, AI implementation, cloud deployment, and customer problem-solving. The role involves taking ownership of projects from requirement gathering and prototyping through testing, deployment, and improvement.+1
Key responsibilities
Understand customer requirements and translate business workflows into technical solutions.
Design, develop, test, and deploy AI-powered applications.
Build full-stack applications using Python, JavaScript, TypeScript, React, Node.js, or similar technologies.
Develop and integrate Generative AI, LLM, RAG, AI-agent, and intelligent automation solutions.
Work with AI platforms and APIs such as Claude, OpenAI, Google Gemini, or similar services.
Create prompts, evaluation methods, feedback loops, and basic guardrails for AI applications.
Build APIs, data pipelines, integrations, and cloud-native services.
Deploy and manage applications using AWS services such as EC2, S3, Lambda, RDS, API Gateway, CloudWatch, and IAM.
Work with SQL/NoSQL databases, embeddings, vector databases, knowledge bases, and enterprise data sources.
Write unit, integration, and end-to-end tests.
Monitor, troubleshoot, optimize, and improve applications after deployment.
Participate in code reviews, architecture discussions, documentation, and agile development.
Conduct technical demonstrations and explain solutions to customers and stakeholders.
Collaborate with product, engineering, cloud, cybersecurity, and business teams.
Identify reusable frameworks, accelerators, and technical best practices.
Take ownership of delivery timelines, technical quality, and customer outcomes.
Required qualifications
Approximately 1 year of relevant experience in AI engineering, machine learning, full-stack development, software engineering, or cloud application development.
M.Tech/M.E. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related discipline.
Ph.D. or doctoral research experience in AI, computer science, computer applications, machine learning, or a related field is an advantage.
Strong programming skills in Python, JavaScript, TypeScript, or similar languages.
Knowledge of React, HTML, CSS, backend development, REST APIs, and databases.
Understanding of machine learning, deep learning, Generative AI, LLMs, NLP, or AI application development.
Basic to intermediate knowledge of AWS and cloud deployment.
Familiarity with SQL/NoSQL databases, Git, and GitHub.
Strong analytical, communication, presentation, and problem-solving skills.
Ability to work independently, learn quickly, and manage changing requirements.
Willingness to work directly with customers and internal stakeholders.
Preferred skills
Experience with Claude, OpenAI, Gemini, or other LLM APIs.
Knowledge of LangChain, LlamaIndex, Semantic Kernel, LangGraph, or similar frameworks.
Experience building RAG applications, AI agents, copilots, or intelligent workflow solutions.
Familiarity with Pinecone, Weaviate, Chroma, FAISS, OpenSearch, or similar vector databases.
Exposure to PyTorch, TensorFlow, scikit-learn, Hugging Face, or related AI/ML libraries.
Experience with AWS Lambda, EC2, S3, RDS, API Gateway, CloudWatch, and IAM.
Familiarity with Docker, CI/CD, Linux, microservices, or serverless architecture.
Knowledge of Pytest, Jest, Mocha, Cypress, Playwright, or similar testing tools.
Understanding of prompt engineering, AI evaluation, model monitoring, safety, and guardrails.
Strong GitHub portfolio, technical articles, research papers, patents, or open-source contributions.
Ownership expectations
The selected candidate will be expected to:
Own technical assignments from requirement gathering through deployment.
Lead small AI application projects with guidance from senior team members.
Communicate effectively with customers, mentors, and internal leadership.
Make practical decisions involving scope, quality, speed, and scalability.
Present technical solutions, demonstrations, and project outcomes.
Contribute to architecture discussions, documentation, and knowledge sharing.
Demonstrate the potential to progress into a permanent AI engineering role.
Internship and conversion terms
The internship will be for a period of up to six months.
The stipend is ₹25,000 fixed per month during the internship period.
The role is fully remote during the internship period.
The expected working commitment is approximately 45 hours per week.
Immediate joiners are preferred.
Candidates must ensure that other academic, professional, or personal commitments do not affect the planned internship schedule or project responsibilities.
Based on technical performance, project ownership, communication, leadership potential, and business contribution, the candidate may be considered for conversion to a permanent full-time role.
Conversion is not automatic and will be subject to a formal performance review.
Permanent role designation, compensation, and work arrangement will be discussed before conversion.
Who should apply?
This opportunity is suitable for:
AI/ML engineers with approximately one year of relevant experience.
M.Tech/M.E. graduates with strong practical project experience.
Ph.D. scholars or recent doctoral graduates in AI, machine learning, computer science, or related fields.
Candidates with a strong AI, software engineering, or full-stack development portfolio.
Professionals who enjoy building practical solutions rather than working only on theoretical models.
Candidates who are comfortable with customer interaction, ownership, and fast-paced project environments.
Immediate joiners who can commit to approximately 45 hours per week.
How to apply
Interested candidates should email the following to:
savio.j@bompixmori.com

Work arrangement
No