Forward Deployed AI Engineer Intern – Leadership Track

Conversion: Potential conversion to a permanent leadership role based on performance

About the role

We are looking for a highly motivated Forward Deployed AI Engineer Intern to join our team in a leadership-track role. This opportunity is designed for an exceptional M.Tech graduate or doctoral candidate with strong expertise in computer applications, artificial intelligence, machine learning, and full-stack application development.

The selected candidate will work directly with customers and internal teams to understand business problems, design AI-powered solutions, build full-stack applications, and deploy them in real-world environments. The role requires technical ownership, independent thinking, customer engagement, and the ability to lead projects from concept to production.

Forward Deployed Engineers combine software engineering, AI implementation, cloud deployment, and customer problem-solving to deliver practical solutions in live environments.

Key responsibilities

- Lead the design, development, testing, and deployment of AI-powered applications.
- Translate customer requirements and business workflows into scalable technical solutions.
- 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 workflow solutions.
- Work with models and platforms such as Claude, OpenAI, or other enterprise AI services.
- Design prompts, evaluation frameworks, guardrails, and feedback mechanisms 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, and related services.
- Work with vector databases, embeddings, knowledge bases, and enterprise data sources.
- Write unit, integration, and end-to-end tests to ensure application quality.
- Monitor, troubleshoot, optimize, and improve AI systems in production environments.
- Work directly with customers and stakeholders to gather requirements and provide technical guidance.
- Conduct technical demonstrations, explain solutions, and support customer adoption.
- Lead technical discussions,



code reviews, documentation, and solution planning.
- Identify reusable frameworks, accelerators, and best practices for future deployments.
- Mentor junior interns or team members when required.
- Collaborate with product, engineering, cloud, cybersecurity, and business teams.
- Take ownership of delivery timelines, technical decisions, quality, and customer outcomes.

Required qualifications

- M.Tech/M.E. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a closely related discipline.
- Ph.D./Doctorate in Computer Applications, Computer Science, AI, ML, Data Science, or a related technical field is highly preferred.
- Strong academic or project-based background in AI, machine learning, software engineering, or computer applications.
- Solid programming skills in Python, JavaScript, TypeScript, or similar languages.
- Knowledge of frontend technologies such as React, HTML, and CSS.
- Knowledge of backend development, APIs, databases, and application architecture.
- Understanding of machine learning, deep learning, Generative AI, LLMs, or NLP.
- Basic to intermediate knowledge of AWS and cloud deployment concepts.
- Familiarity with databases, SQL/NoSQL systems, REST APIs, and Git/GitHub.
- Strong analytical, communication, presentation, and problem-solving skills.
- Ability to work independently, learn quickly, and operate in ambiguous environments.
- Willingness to work directly with customers and adapt solutions to real-world requirements.

Preferred skills

- Experience with LLM APIs such as Anthropic Claude, OpenAI, or Google Gemini.
- Knowledge of LangChain, LlamaIndex, Semantic Kernel, or similar AI frameworks.
- Experience building RAG applications, AI agents, copilots, or intelligent automation workflows.
- Familiarity with vector databases such as Pinecone,



Weaviate, Chroma, FAISS, or OpenSearch.
- Exposure to PyTorch, TensorFlow, scikit-learn, Hugging Face, or other 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 testing tools such as Pytest, Jest, Mocha, Cypress, or Playwright.
- Exposure to AI evaluation, model monitoring, prompt engineering, safety, and guardrails.
- Published research papers, technical articles, open-source contributions, patents, or strong GitHub projects.

Leadership-track expectations

This is not a routine internship focused only on assigned coding tasks. The selected candidate will be expected to:

- Take ownership of end-to-end technical assignments.
- Lead small AI application projects from discovery to deployment.
- Communicate clearly with customers, mentors, and internal leadership.
- Make practical decisions involving scope, speed, quality, and scalability.
- Present technical solutions and project outcomes.
- Support documentation, architecture discussions, and knowledge sharing.
- Demonstrate the potential to progress into a permanent AI engineering or technical leadership position.

Who should apply?

This opportunity is best suited for:

- M.Tech/M.E. graduates.
- Ph.D. scholars or recent doctoral graduates in AI, computer applications, computer science, or related disciplines.
- Strong technical candidates with exceptional academic, research, or project portfolios.
- Candidates who enjoy building practical solutions rather than only theoretical models.
- Individuals who are comfortable working directly with customers and taking ownership.

Internship and conversion

- Internship tenure: Up to 6 months.
- Leadership-track opportunity.
- Permanent conversion may be offered based on technical performance, leadership ability, project ownership, and business impact.
- Work arrangement: Hybrid/Remote.

How to apply

Interested candidates should share

- Updated resume.
- GitHub, portfolio, or project links (if applicable).
- Research papers or publications, (if applicable).

Email: [email protected]

📌 Forward Deployed AI Engineer Intern – Leadership Track (Bengaluru)
🏢 BOMPIX MORI
📍 Bengaluru